Questions
Shown below is a list of molecules that function in fruit fly development and a list...

Shown below is a list of molecules that function in fruit fly development and a list of distribution patterns. Match the molecules to their normal distribution in fruit fly embryos.

      -       A.       B.       C.       D.   

Distributed uniformly in the oocyte/embryo

      -       A.       B.       C.       D.   

Highest concentration in anterior end of the embryo

      -       A.       B.       C.       D.   

Highest concentration in the posterior end of the embyo

      -       A.       B.       C.       D.   

Highest concentration in the ventral part of the embryo

A.

hunchback mRNA

B.

hunchback protein

C.

nanos mRNA

D.

Spaetzle protein

(Put each letter to each Answer)

Two-dimensional gel electrophoresis is used to characterize the physical characteristics and expression levels of:

A.

proteins

B.

lipids

C.

microtubules

D.

DNA polymorphisms

E.

mRNA

The end product of a multistep process that includes 1) digestion of genomic DNA by restriction enzymes, 2) ligation of this DNA into vectors, 3) transformation of bacteria with the recombinant DNA molecules, and 4) isolation of individual bacterial clones that carry this recombinant DNA.

A.

Genomic library

B.

CD library

C.

cDNA library

D.

Gene expression

E.

RNA library

Long stretches of uninterrupted codons in genomic DNA are known as:

A.

open reading frames

B.

amino acids

C.

stop codons

D.

translocations

E.

point mutations

In: Biology

To write a C++ program for following scenario and display requirements: Scenario-based Problem: AIG Insurance wants...

To write a C++ program for following scenario and display requirements:

Scenario-based Problem:

AIG Insurance wants to create an insurance management system for their clients. The insurance management system will compute the required payments from the clients. The commission of the agent shall also be computed which depends on the amount of insurance type.

Insurance Type

Amount of Insurance type

Agent Commission

Life

2500

12.5% of amount

Health

1500

10.5% of amount

Other inputs

0

0

Computation of monthly payments and equity value depends on the number of months to pay

Insurance Type

Number of months to pay

Equity Value

Life

1 – 12

7% of amount

13 – 24

9% of amount

More than 24

11% of amount

Health

1 – 12

8% of amount

13 – 24

10% of amount

More than 24

12% of amount

Other inputs

Any number

0

The program will begin by inputting the number of policies. The number of policies will be used as basis for the number of times user will input the following: client’s name, mobile number, insurance type as well as the number of months to pay. The agent commission and the equity value is computed based on the two tables. The monthly due is computed as insurance type amount minus the reservation amount divided by the number of months to pay. The reservation amount is computed as 2% of the amount of insurance type. The program should display in a summary or tabular format the following information: client’s mobile number, client’s name, the insurance type, number of months to pay, monthly due, agent commission, and reservation amount. All the necessary values should be stored in a pointer array. (client’s mobile number, client’s name, the insurance type, number of months to pay, monthly due, agent commission, and reservation amount).

At the end of the report, the program should also display the following:

A. the number of times A life insurance type was bought
b. The lowest number of months entered by the user
c. The total of all reservation fees

d. The agent commission sorted from lowest to highest (ascending)

You are also requested to consider the following requirements:

  1. The use of struct to hold 3 or more of your variables as member variables.
  2. The use of functions to return all computed values.
  3. To write in a file (filename.txt) the output that you will display in the screen.
  • Don’t forget to:

1. Construct programs using pre-processors, static variables, and external variables

2. Develop program using recursive and library functions (math, string and time).

3. Work with pointers including void, array and function pointers.
4. Use derived data types like structures and unions.

5. Perform file handling operations.
6. Use Dynamic Memory Management concepts.

7. Use type qualifiers and macros in programs.
8. Create templates in C++.

In: Computer Science

1. z = -1 is what percentile? 2.Assume that the readings at freezing on a batch...

1. z = -1 is what percentile?

2.Assume that the readings at freezing on a batch of thermometers are normally distributed with a mean of 0°C and a standard deviation of 1.00°C.
A single thermometer is randomly selected and tested. Let ZZ represent the reading of this thermometer at freezing. What reading separates the highest 11.18% from the rest? That is, if P(z>c)=0.1118P(z>c)=0.1118, find c.

3.Assume that scores on the verbal portion of the GRE (Graduate Record Exam) follow the normal distribution with mean score 151 and standard deviation 7 points, while the quantitative portion of the exam has scores following the normal distribution with mean 153 and standard deviation 7.67. Use this information to answer the following:
a) Find the score of a student who scored in the 80th percentile on the Quantitative Reasoning section of the exam.
(please round to two decimal places)

b)Find the score of a student who scored worse than 70% of the test takers in the Verbal Reasoning section of the exam.
(please round to two decimal places)

4.The combined SAT scores for the students at a local high school are normally distributed with a mean of 1494 and a standard deviation of 299. The local college includes a minimum score of 1374 in its admission requirements.

What percentage of students from this school earn scores that satisfy the admission requirement?
P(X > 1374) = ? %

5.In the country of United States of Heightlandia, the height measurements of ten-year-old children are approximately normally distributed with a mean of 55.6 inches, and standard deviation of 4.8 inches.

A) What is the probability that a randomly chosen child has a height of less than 65.2 inches?

Answer= (Round your answer to 3 decimal places.)

B) What is the probability that a randomly chosen child has a height of more than 64.8 inches?

Answer= (Round your answer to 3 decimal places.)

In: Statistics and Probability

Determine whether you can use the normal distribution to approximate the binomial distribution. If you​ can,...

Determine whether you can use the normal distribution to approximate the binomial distribution. If you​ can, use the normal distribution to approximate the indicated probabilities and sketch their graphs. If you​ cannot, explain why and use the binomial distribution to find the indicated probabilities.

A survey of adults in a region found that

52

​%

have encountered fraudulent charges on their credit cards. You randomly select

100

adults in the region. Complete parts​ (a) through​ (d) below.

Determine whether a normal distribution can be used to approximate the binomial distribution. Choose the correct answer below.

A.

​Yes, because both

npgreater than or equals

5

and

nqgreater than or equals

5.

B.

​No, because

nqless than

5.

C.

​No, because

npless than

5.

​(a) Find the probability that the number who have encountered fraudulent charges on their credit cards is​ (a) exactly

55

​,

​(b) at least

55

​,

and​ (c) fewer than

55

.

nothing

​(Round to four decimal places as​ needed.)

Sketch the graph of the normal distribution with the indicated probability shaded.

A.

553569x

mu equals 52

A normal curve is over a horizontal axis and is centered on 52. Vertical line segments extend from the horizontal axis to the curve at 52, 54.5, and 55.5. The area under the curve between 54.5 and 55.5 is shaded.

B.

553569x

mu equals 52

A normal curve is over a horizontal axis and is centered on 52. Vertical line segments extend from the horizontal axis to the curve at 52 and 54.5. The area under the curve to the right of 54.5 is shaded.

C.

553569x

mu equals 52

A normal curve is over a horizontal axis and is centered on 52. Vertical line segments extend from the horizontal axis to the curve at 52 and 54.5. The area under the curve to the left of 54.5 is shaded.

D.

The normal distribution cannot be used to approximate the binomial distribution.

​(b) Find the probability that the number who have encountered fraudulent charges on their credit cards is at least

55

.

nothing

​(Round to four decimal places as​ needed.)

Sketch the graph of the normal distribution with the indicated probability shaded.

A.

553569x

mu equals 52

A normal curve is over a horizontal axis and is centered on 52. Vertical line segments extend from the horizontal axis to the curve at 52, 54.5, and 55.5. The area under the curve between 54.5 and 55.5 is shaded.

B.

553569x

mu equals 52

A normal curve is over a horizontal axis and is centered on 52. Vertical line segments extend from the horizontal axis to the curve at 52 and 54.5. The area under the curve to the right of 54.5 is shaded.

C.

553569x

mu equals 52

A normal curve is over a horizontal axis and is centered on 52. Vertical line segments extend from the horizontal axis to the curve at 52 and 54.5. The area under the curve to the left of 54.5 is shaded.

D.

The normal distribution cannot be used to approximate the binomial distribution.

​(c) Find the probability that the number who have encountered fraudulent charges on their credit cards is fewer than

55

.

nothing

​(Round to four decimal places as​ needed.)

Sketch the graph of the normal distribution with the indicated probability shaded.

A.

553569x

mu equals 52

A normal curve is over a horizontal axis and is centered on 52. Vertical line segments extend from the horizontal axis to the curve at 52, 54.5, and 55.5. The area under the curve between 54.5 and 55.5 is shaded.

B.

553569x

mu equals 52

A normal curve is over a horizontal axis and is centered on 52. Vertical line segments extend from the horizontal axis to the curve at 52 and 54.5. The area under the curve to the left of 54.5 is shaded.

C.

553569x

mu equals 52

A normal curve is over a horizontal axis and is centered on 52. Vertical line segments extend from the horizontal axis to the curve at 52 and 54.5. The area under the curve to the right of 54.5 is shaded.

D.

The normal distribution cannot be used to approximate the binomial distribution.

​(d) Identify any unusual events. Explain.

A.

The event in part​ (c) is unusual because its probability is less than 0.05.

B.

The event in part​ (a) is unusual because its probability is less than 0.05.

C.

The event in part​ (b) is unusual because its probability is less than 0.05.

D.

There are no unusual​ events, because all of the probabilities are greater than 0.05.

In: Statistics and Probability

This question has five parts. Data listed below. A survey of 518 workers included the question...

This question has five parts. Data listed below.

A survey of 518 workers included the question "In your opinion, is it OK for a company to monitor its employees' Internet use?" The possible responses were: (1) Only after informing the employees, (2) Company can monitor internet at any time for any reason, (3) Only when company believes an employee is misusing the Internet, (4) Company does not have the right, and (5) Only if an employee has previously misused the Internet. The table included contains the results for the respondents.

1. Calculate the probability that a randomly chosen respondent would indicate that there should be some restriction concerning the company's right to monitor Internet use.

The probability is: ________ (Do not use percents. Round to four decimal places as needed.)

2. Indicate the method of probability assessment used to determine the probability in the question above. Select from bold choices.

The    ["subjective probability", "classical probability", "relative frequency"]   assessment approach is used because the probability is based on    ["data that have been collected.", "outcomes that occur with the same chance.", "a person's opinion."]

3. Are the events that a randomly selected respondent chose response 3 and that another randomly selected respondent chose response 4 independent? Choose the correct answer below.

a. The two events are not independent because a respondent cannot choose response 3 and response 4.

b. The two events are independent because one respondent's choice of response 3 affects the probability that the other respondent will choose response 4.

c. The two events are independent because one respondent's choice of response 3 does not affect the probability that the other respondent will choose response 4.

d. The two events are not independent because one respondent's choice of response 3 affects the probability that the other respondent will choose response 4.

4. Are the events that a randomly selected respondent chose response 3 and that another randomly selected respondent chose response 4 mutually exclusive? Choose the correct answer below.

a. The two events are not mutually exclusive because a respondent cannot choose response 3 and response 4.

b. The two events are not mutually exclusive because a respondent can choose response 3 while another chooses response 4.

c. The two events are mutually exclusive because one respondent's choice of response 3 affects the probability that the other respondent will choose response 4.

d. The two events are mutually exclusive because a respondent can choose response 3 while another chooses response 4.

5. Are the events that a randomly selected respondent chose response 3 and that another randomly selected respondent chose response 4 dependent events? Choose the correct answer below.

a. The two events are dependent because one respondent's choice of response 3 does not affect the probability that the other respondent will choose response 4.

b. The two events are not dependent because one respondent's choice of response 3 does not affect the probability that the other respondent will choose response 4.

c. The two events are dependent because a respondent can choose response 3 while another chooses response 4.

d. The two events are not dependent because one respondent's choice of response 3 affects the probability that the other respondent will choose response 4.

Data:

Response 1 2 3 4 5
Number of Respondents 165 215 114 10 14

In: Statistics and Probability

This question has five parts. Data listed below. A survey of 518 workers included the question...

This question has five parts. Data listed below.

A survey of 518 workers included the question "In your opinion, is it OK for a company to monitor its employees' Internet use?" The possible responses were: (1) Only after informing the employees, (2) Company can monitor internet at any time for any reason, (3) Only when company believes an employee is misusing the Internet, (4) Company does not have the right, and (5) Only if an employee has previously misused the Internet. The table included contains the results for the respondents.

1. Calculate the probability that a randomly chosen respondent would indicate that there should be some restriction concerning the company's right to monitor Internet use.

The probability is: ________ (Do not use percents. Round to four decimal places as needed.)

2. Indicate the method of probability assessment used to determine the probability in the question above. Select from bold choices.

The    ["subjective probability", "classical probability", "relative frequency"]   assessment approach is used because the probability is based on    ["data that have been collected.", "outcomes that occur with the same chance.", "a person's opinion."]

3. Are the events that a randomly selected respondent chose response 3 and that another randomly selected respondent chose response 4 independent? Choose the correct answer below.

a. The two events are not independent because a respondent cannot choose response 3 and response 4.

b. The two events are independent because one respondent's choice of response 3 affects the probability that the other respondent will choose response 4.

c. The two events are independent because one respondent's choice of response 3 does not affect the probability that the other respondent will choose response 4.

d. The two events are not independent because one respondent's choice of response 3 affects the probability that the other respondent will choose response 4.

4. Are the events that a randomly selected respondent chose response 3 and that another randomly selected respondent chose response 4 mutually exclusive? Choose the correct answer below.

a. The two events are not mutually exclusive because a respondent cannot choose response 3 and response 4.

b. The two events are not mutually exclusive because a respondent can choose response 3 while another chooses response 4.

c. The two events are mutually exclusive because one respondent's choice of response 3 affects the probability that the other respondent will choose response 4.

d. The two events are mutually exclusive because a respondent can choose response 3 while another chooses response 4.

5. Are the events that a randomly selected respondent chose response 3 and that another randomly selected respondent chose response 4 dependent events? Choose the correct answer below.

a. The two events are dependent because one respondent's choice of response 3 does not affect the probability that the other respondent will choose response 4.

b. The two events are not dependent because one respondent's choice of response 3 does not affect the probability that the other respondent will choose response 4.

c. The two events are dependent because a respondent can choose response 3 while another chooses response 4.

d. The two events are not dependent because one respondent's choice of response 3 affects the probability that the other respondent will choose response 4.

Data:

Response 1 2 3 4 5
Number of Respondents 165 215 114 10 14

In: Statistics and Probability

Visit the NASDAQ historical prices weblink. First, set the date range to be for exactly 1...

Visit the NASDAQ historical prices weblink. First, set the date range to be for exactly 1 year ending on the Monday that this course started, which is 2/1//19 For example, if the current term started on April 1, 2018, then use April 1, 2017 – March 31, 2018. (Do NOT use these dates. Use the dates that match up with the current term.) Do this by clicking on the blue dates after “Time Period”. Next, click the “Apply” button. Next, click the link on the right side of the page that says “Download Data” to save the file to your computer.

This project will only use the Close values. Assume that the closing prices of the stock form a normally distributed data set. This means that you need to use Excel to find the mean and standard deviation. Then, use those numbers and the methods you learned in sections 6.1-6.3 of the course textbook for normal distributions to answer the questions. Do NOT count the number of data points.

Complete this portion of the assignment within a single Excel file. Show your work or explain how you obtained each of your answers. Answers with no work and no explanation will receive no credit.

  1. a) Submit a copy of your dataset along with a file that contains your answers to all of the following questions.

b) What the mean and Standard Deviation (SD) of the Close column in your data set?

c) If a person bought 1 share of Google stock within the last year, what is the probability that the stock on that day closed at less than the mean for that year? Hint: You do not want to calculate the mean to answer this one. The probability would be the same for any normal distribution. (5 points)

  1. If a person bought 1 share of Google stock within the last year, what is the probability that the stock on that day closed at more than $950? (5 points)
  2. If a person bought 1 share of Google stock within the last year, what is the probability that the stock on that day closed within $50 of the mean for that year? (between 50 below and 50 above the mean) (5 points)
  3. If a person bought 1 share of Google stock within the last year, what is the probability that the stock on that day closed at less than $800 per share. Would this be considered unusal? Use the definition of unusual from the course textbook that is measured as a number of standard deviations (5 points)
  4. At what prices would Google have to close in order for it to be considered statistically unusual? You will have a low and high value. Use the definition of unusual from the course textbook that is measured as a number of standard deviations. (5 points)
  5. What are Quartile 1, Quartile 2, and Quartile 3 in this data set? Use Excel to find these values. This is the only question that you must answer without using anything about the normal distribution. (5 points)
  6. Is the normality assumption that was made at the beginning valid? Why or why not? Hint: Does this distribution have the properties of a normal distribution as described in the course textbook? Real data sets are never perfect, however, it should be close. One option would be to construct a histogram like you did in Project 1 to see if it has the right shape. Something in the range of 10 to 12 classes is a good number. (5 points)

There are also 5 points for miscellaneous items like correct date range, correct mean, correct SD, etc.

In: Statistics and Probability

Visit the NASDAQ historical prices weblink. First, set the date range to be for exactly 1...

Visit the NASDAQ historical prices weblink. First, set the date range to be for exactly 1 year ending on the Monday that this course started. Do this by clicking on the blue dates after “Time Period”. Next, click the “Apply” button. Next, click the link on the right side of the page that says “Download Data” to save the file to your computer.

PLEASE USE DATES: March 16, 2019 - March 15, 2020.
If you use the correct dates the mean should be somewhere between 1200 and 1300. The standard deviation will be between 110 and 120. You should also have 252 rows in the downloaded spreadsheet. If your numbers fit those ranges you are doing it correct

This project will only use the Close values. Assume that the closing prices of the stock form a normally distributed data set. This means that you need to use Excel to find the mean and standard deviation. Then, use those numbers and the methods you learned in sections 6.1-6.3 of the course textbook for normal distributions to answer the questions. Do NOT count the number of data points.

Complete this portion of the assignment within a single Excel file. Show your work or explain how you obtained each of your answers. Answers with no work and no explanation will receive no credit.

  1. a) Submit a copy of your dataset along with a file that contains your answers to all of the following questions.

b) What the mean and Standard Deviation (SD) of the Close column in your data set?

c) If a person bought 1 share of Google stock within the last year, what is the probability that the stock on that day closed at less than the mean for that year? Hint: You do not want to calculate the mean to answer this one. The probability would be the same for any normal distribution. (5 points)

  1. If a person bought 1 share of Google stock within the last year, what is the probability that the stock on that day closed at more than $1150? (5 points)
  2. If a person bought 1 share of Google stock within the last year, what is the probability that the stock on that day closed within $50 of the mean for that year? (between 50 below and 50 above the mean) (5 points)
  3. If a person bought 1 share of Google stock within the last year, what is the probability that the stock on that day closed at less than $950 per share. Would this be considered unusal? Use the definition of unusual from the course textbook that is measured as a number of standard deviations (5 points)
  4. At what prices would Google have to close in order for it to be considered statistically unusual? You will have a low and high value. Use the definition of unusual from the course textbook that is measured as a number of standard deviations. (5 points)
  5. What are Quartile 1, Quartile 2, and Quartile 3 in this data set? Use Excel to find these values. This is the only question that you must answer without using anything about the normal distribution. (5 points)
  6. Is the normality assumption that was made at the beginning valid? Why or why not? Hint: Does this distribution have the properties of a normal distribution as described in the course textbook? Real data sets are never perfect, however, it should be close. One option would be to construct a histogram like you did in Project 1 to see if it has the right shape. Something in the range of 10 to 12 classes is a good number. (5 points)

There are also 5 points for miscellaneous items like correct date range, correct mean, correct SD, etc.

In: Statistics and Probability

Visit the NASDAQ historical prices weblink. First, set the date range to be for exactly 1...

Visit the NASDAQ historical prices weblink. First, set the date range to be for exactly 1 year ending on the Monday that this course started. For example, if the current term started on April 1, 2018, then use April 1, 2017 – March 31, 2018. (Do NOT use these dates. Use the dates that match up with the current term.) Do this by clicking on the blue dates after “Time Period”. Next, click the “Apply” button. Next, click the link on the right side of the page that says “Download Data” to save the file to your computer.

This project will only use the Close values. Assume that the closing prices of the stock form a normally distributed data set. This means that you need to use Excel to find the mean and standard deviation. Then, use those numbers and the methods you learned in sections 6.1-6.3 of the course textbook for normal distributions to answer the questions. Do NOT count the number of data points.

Complete this portion of the assignment within a single Excel file. Show your work or explain how you obtained each of your answers. Answers with no work and no explanation will receive no credit.

  1. a) Submit a copy of your dataset along with a file that contains your answers to all of the following questions.

b) What the mean and Standard Deviation (SD) of the Close column in your data set?

c) If a person bought 1 share of Google stock within the last year, what is the probability that the stock on that day closed at less than the mean for that year? Hint: You do not want to calculate the mean to answer this one. The probability would be the same for any normal distribution. (5 points)

  1. If a person bought 1 share of Google stock within the last year, what is the probability that the stock on that day closed at more than $1150? (5 points)
  2. If a person bought 1 share of Google stock within the last year, what is the probability that the stock on that day closed within $50 of the mean for that year? (between 50 below and 50 above the mean) (5 points)
  3. If a person bought 1 share of Google stock within the last year, what is the probability that the stock on that day closed at less than $950 per share. Would this be considered unusal? Use the definition of unusual from the course textbook that is measured as a number of standard deviations (5 points)
  4. At what prices would Google have to close in order for it to be considered statistically unusual? You will have a low and high value. Use the definition of unusual from the course textbook that is measured as a number of standard deviations. (5 points)
  5. What are Quartile 1, Quartile 2, and Quartile 3 in this data set? Use Excel to find these values. This is the only question that you must answer without using anything about the normal distribution. (5 points)
  6. Is the normality assumption that was made at the beginning valid? Why or why not? Hint: Does this distribution have the properties of a normal distribution as described in the course textbook? Real data sets are never perfect, however, it should be close. One option would be to construct a histogram like you did in Project 1 to see if it has the right shape. Something in the range of 10 to 12 classes is a good number. (5 points)

There are also 5 points for miscellaneous items like correct date range, correct mean, correct SD, etc.

In: Statistics and Probability

This is so hard! my class started 13 Jan 2020 ....Visit the NASDAQ historical prices weblink....

This is so hard! my class started 13 Jan 2020 ....Visit the NASDAQ historical prices weblink. First, set the date range to be for exactly 1 year ending on the Monday that this course started. For example, if the current term started on April 1, 2018, then use April 1, 2017 – March 31, 2018. (Do NOT use these dates. Use the dates that match up with the current term.) Do this by clicking on the blue dates after “Time Period”. Next, click the “Apply” button. Next, click the link on the right side of the page that says “Download Data” to save the file to your computer. This project will only use the Close values. Assume that the closing prices of the stock form a normally distributed data set. This means that you need to use Excel to find the mean and standard deviation. Then, use those numbers and the methods you learned in sections 6.1-6.3 of the course textbook for normal distributions to answer the questions. Do NOT count the number of data points. Complete this portion of the assignment within a single Excel file. Show your work or explain how you obtained each of your answers. Answers with no work and no explanation will receive no credit. 1.a) Submit a copy of your dataset along with a file that contains your answers to all of the following questions. b) What the mean and Standard Deviation (SD) of the Close column in your data set? c) If a person bought 1 share of Google stock within the last year, what is the probability that the stock on that day closed at less than the mean for that year? Hint: You do not want to calculate the mean to answer this one. The probability would be the same for any normal distribution. (5 points) 2.If a person bought 1 share of Google stock within the last year, what is the probability that the stock on that day closed at more than $1150? (5 points) 3.If a person bought 1 share of Google stock within the last year, what is the probability that the stock on that day closed within $50 of the mean for that year? (between 50 below and 50 above the mean) (5 points) 4.If a person bought 1 share of Google stock within the last year, what is the probability that the stock on that day closed at less than $950 per share. Would this be considered unusal? Use the definition of unusual from the course textbook that is measured as a number of standard deviations (5 points) 5.At what prices would Google have to close in order for it to be considered statistically unusual? You will have a low and high value. Use the definition of unusual from the course textbook that is measured as a number of standard deviations. (5 points) 6.What are Quartile 1, Quartile 2, and Quartile 3 in this data set? Use Excel to find these values. This is the only question that you must answer without using anything about the normal distribution. (5 points) 7.Is the normality assumption that was made at the beginning valid? Why or why not? Hint: Does this distribution have the properties of a normal distribution as described in the course textbook? Real data sets are never perfect, however, it should be close. One option would be to construct a histogram like you did in Project 1 to see if it has the right shape. Something in the range of 10 to 12 classes is a good number. (5 points) There are also 5 points for miscellaneous items like correct date range, correct mean, correct SD, etc.

In: Statistics and Probability