Questions
1.Weights, in pounds, of ten-year-old girls are collected from a neighborhood. A sample of 26 is...

1.Weights, in pounds, of ten-year-old girls are collected from a neighborhood. A sample of 26 is given below. Assuming normality, use Excel to find the 98% confidence interval for the population mean weight μ. Round your answers to three decimal places and use increasing order.Weight
66.4
86.3
71.3
52.8
68.0
85.0
66.2
79.2
93.5
84.5
71.1
74.5
65.0
58.5
59.8
80.2
69.2
92.9
78.9
59.4
63.6
66.5
60.7
80.1
60.4
74.5

2.

Julia wants to estimate the percentage of people who submit their tax returns online. She surveys 330 individuals and finds that 65 submit their tax returns online.

Find the margin of error for the confidence interval for the population proportion with a 95% confidence level.

z0.10 z0.05 z0.025 z0.01 z0.005
1.282 1.645 1.960 2.326 2.576

Use the table of common z-scores above.

  • Round the final answer to three decimal places

In: Statistics and Probability

Here are summary statistics for randomly selected weights of newborn​ girls: n =191​, x̅ = 33.2...

Here are summary statistics for randomly selected weights of newborn​ girls: n =191​, x̅ = 33.2 ​hg, s = 6.1 hg. Construct a confidence interval estimate of the mean. Use a 90​%

confidence level. Are these results very different from the confidence interval 32.9 hg < μ < 34.3 hg with only 19 sample​ values, x̅ = 33.6 ​hg, and s = 1.7 ​hg?

A. What is the confidence interval for the population mean μ​?

____ hg < ​​​μ​ < ____ hg (Round to one decimal place as​ needed.)

B. Are the results between the two confidence intervals very​ different?

a) Yes, because the confidence interval limits are not similar.

b) No, because each confidence interval contains the mean of the other confidence interval.

c) ​No, because the confidence interval limits are similar.

d) Yes, because one confidence interval does not contain the mean of the other confidence interval.

In: Math

Presume for a minute that (OK, so maybe this premise was slightly borrowed from the movie...

Presume for a minute that (OK, so maybe this premise was slightly borrowed from the movie The Stepfather, the one from the 1980s, not the terrible recent one), a new college professor moves into town and gets a job teaching math. The new professor is charming and funny and everyone likes him. The dean introduces him to his daughter and they begin an engagement. Shortly thereafter, he begins acting possessive and increasingly paranoid. He begins staying after class, very late in fact. Soon, a chemistry student goes missing, followed by an art student. In a very dramatic car chase scene involving the dean's daughter and the professor, the professor is expelled from the windshield of his car and eaten by an alligator. A fingerprint check establishes that he previously lived in Richmond, VA under a different name and worked as a social worker and was suspected in the disappearance of several college students.

Assume the college did not do a background check and the background check would have easily discovered this information. What would they be liable for? In today's #metoo environment, what liability can companies incur from failure to do due diligence? What about marijuana? It's lawful in many states now, does that absolve the employer's liability for accidents on the job?

In: Economics

Timothy is a seven year old boy, his mother takes him to the pediatrician for review....

Timothy is a seven year old boy, his mother takes him to the pediatrician for review. Its weight is 31 kg and corresponds to the 95th percentile; their height is 127 cm and they are between the 75th and 90th percentiles for their age. His body mass index is 19.25 kg / m2, which is just above the 95th percentile for his age. Their growth percentiles have increased in recent years. Timothy's mother expresses her concern to the pediatrician about the weight of her son; his brothers, one older and one younger than him, are slimmer. Timothy's mother is obese, but her father is a normal weight for height. Timothy is in his second year of elementary school and takes the school bus both to go to school and to return. She participates in her school's school breakfast program, but her parents give her extra money to buy, if she wants, some of the food sold in the cafeteria or the vending machines. After school, Timothy and his siblings stay at home with a babysitter until one of their parents returns from work. Timothy usually watches television or entertains himself with video games after school; Their parents leave treats (chips, cookies, and soft drinks) at home for their children to eat after school. The mother usually prepares the evening meal, which consists of meat, starch, vegetables and a dessert. After dinner, Timothy does his homework and then watches more television with his parents. He often has ice cream before going to the cabin.

Apply nutritional assessment,

nutritional diagnosis,

nutritional intervention

and nutritional surveillance

In: Nursing

The Classical School and the identification of a local/global problem. a) Identify a local/global problem that...

The Classical School and the identification of a local/global problem.

a) Identify a local/global problem that might be caused by the application of a policy that is based on a theory or concept of the Classical school.

Your answer needs to provide at least three paragraphs.

The first paragraph identifies and explains in your own words the concept or theory of the Classical School

The second paragraph identifies and explains the a local/global problem.

The third paragraph explains the connection between the economic concept/theory and the local problem

In: Economics

Conscientiousness is a trait which implies discipline, dependability, and a heightened sense of personal responsibility. A...

Conscientiousness is a trait which implies discipline, dependability, and a heightened sense of personal responsibility. A school administrator wants to compare conscientiousness between high school and university students. He recruits 10 university and 15 high school students and measures their conscientiousness scores on a scale from 1 to 20 where 20 indicates greater conscientiousness. The university students have a mean conscientiousness score of 10 with a standard deviation of 1.5. The high school students have a mean conscientiousness score of 8 with a standard deviation of 1.7. In addition, standard error = .646. Is there a difference in conscientiousness between high school and university students?

a. Identify the IV, IV levels, and DV.

IV:
Levels:
DV:

b. Is this experiment a paired-samples or independent-samples design?

c. State null and alternative hypotheses in words.

H0:
H1:

d. Conduct a statistical test of the hypothesis

t( ) =


e. Decide whether to reject or retain the null hypothesis.

f. Interpret your results.

In: Statistics and Probability

Conscientiousness is a trait which implies discipline, dependability, and a heightened sense of personal responsibility. A...

Conscientiousness is a trait which implies discipline, dependability, and a heightened sense of personal responsibility. A school administrator wants to compare conscientiousness between high school and university students. He recruits 10 university and 15 high school students and measures their conscientiousness scores on a scale from 1 to 20 where 20 indicates greater conscientiousness. The university students have a mean conscientiousness score of 10 with a standard deviation of 1.5. The high school students have a mean conscientiousness score of 8 with a standard deviation of 1.7. In addition, standard error = .646. Is there a difference in conscientiousness between high school and university students?

a. Identify the IV, IV levels, and DV.

IV:
Levels:
DV:

b. Is this experiment a paired-samples or independent-samples design?

c. State null and alternative hypotheses in words.

H0:
H1:

d. Conduct a statistical test of the hypothesis

t( ) =


e. Decide whether to reject or retain the null hypothesis.

f. Interpret your results.

In: Statistics and Probability

1. Many immigrants and many American high school dropoutspossess very few skills. What impact will...

1.
Many immigrants and many American high school dropouts possess very few skills. What impact will these low-skill immigrants likely have on the labor market opportunities of American high school dropouts?



A.

Immigration of low-skilled workers is associated with higher wages paid to American high school dropouts.




B.

Immigration of low-skilled workers is associated with greater employment among American high school dropouts.



C.

Immigration of low-skilled workers is associated with lower wages paid to American high school dropouts.


D.

None of the above.


2.

The taxes are inefficient because:


A.

they decrease worker’s net wage




B.

they increase the cost of hiring for a firm


C.

they decrease the level of employment

3.

Under which conditions the imposition of a tax on a labor marker will NOT lead to a reduction in employment?


A.

If labor supply is perfectly inelastic


B.

if labor supply is unit elastic


C.

if labor supply is more elastic than labor demand


D.

None of the above


In: Economics

A loan company wants to design a database to track student loans. Each student attending school...

A loan company wants to design a database to track student loans. Each student attending school is eligible for a loan. A student may have more than one loan. A student may be registered, possibly at different times, in more than one school. Each loan should belong to only one bank. Each bank can approve as many loans as it desires. For each loan, the loan company will track: the student’s SSN, name, address, amount of loan, date of the loan, interest rate ( which may be different for each loan as determined by the bank), duration of the loan, monthly payment, remaining balance, school ID, school name and address, number of years the student has been at the school, bank name, bank branch, and bank ID. Draw an ER diagram. State any assumptions you make in the diagram. Note: You must use one of the automated database design tools such as: ER STUDIO ER Assistant Vision Enterprise or draw.io website.

In: Computer Science

Hotel One is one of the two hotels serving Dayville, a small town in the US Midwest. Fifty percent of its customers are out-of-town visitors to the local college


Background
Hotel One is one of the two hotels serving Dayville, a small town in the US Midwest. Fifty percent of its customers are out-of-town visitors to the local college, 30 percent are visiting Dayville for business purposes, and the remaining 20 percent of Hotel One’s customers are leisure travelers. The hotel is within one mile from campus, approximately four miles from the city center, and eight miles from the airport. It is easy to reach by car, taxi, or city bus. You are a manager of Hotel One. Your facility consists of 150 rooms, all of which are standard rooms with two double beds. Your only competitor in Dayville, The Other Hotel, has fewer rooms (100), but 20 of their rooms are luxury suites with king beds and a sofa couch (the other 80 are standard rooms with two double beds). This is the extent of the information provided to you at this point.

Assignment
In order to better understand your unit’s operating environment, you are asked to provide your estimate of the demand equation that would account for various factors that affect your customer traffic. This will be done by using regression techniques. The first step in estimating a demand equation is to determine what variables will be used in the regression. Please provide detailed answers to the following questions:
1. What do you think should be the dependent variable in your demand equation? What units of measurement for that variable are you going to adopt? Please provide a detailed explanation for these choices. 2. Please request information about up to five independent (explanatory) variables for your demand equation. For each variable you request, (i) provide reasons why you expect it to be important for your analysis and (ii) explain the expected sign of the relationship between the proposed independent variable and your proposed dependent variable. 3. Show the exact demand equation you are proposing to estimate. 4. List at least three other variables that you considered as independent (explanatory) variables in the regression, but chose not to include. Why did you choose not to include them?

In: Economics