Questions
Meiosis without Independent Assortment: 1. Are the two cells formed at the end of meiosis I...

Meiosis without Independent Assortment:

1. Are the two cells formed at the end of meiosis I haploid or diploid? _________

2. Are the two cells formed at the end of meiosis I genetically identical? _______

3. Are the two cells formed at the end of meiosis I genetically equivalent (similar)? ______

4. Are the four cells formed at the end of meiosis II genetically equivalent?______

5. How many genetically distinct types of cells are formed by meiosis without independent assortment? ___________

Meiosis with Independent Assortment

6. Are the two cells formed at the end of meiosis I genetically identical?________

7. Are the two cells formed at the end of meiosis I genetically equivalent?_______

8. Are the four cells formed at the end of meiosis II genetically equivalent?______

9. How many genetically distinct types of cells are formed by meiosis with independent

assortment? __________

Meiosis with Crossing Over

10. Are the two cells formed at the end of meiosis I genetically identical?________

11. Are the two cells formed at the end of meiosis I genetically equivalent?_______

12. Are the four cells formed at the end of meiosis II genetically equivalent?______

13. How many genetically distinct cell types are formed by meiosis with a single crossing over event?__________

In: Biology

There are two parts to this activity. Before you write a Java program for this activity,...

There are two parts to this activity. Before you write a Java program for this activity, write the pseudocode for this program. Turn in the pseudo code and Java program.

Create a program that prompts the user for an integer number. The program returns the factorial of the number. 0! = 1

In your program, answer the following question: What kind of loop are you using for this example? Counter-controlled loop or sentinel controlled loop? Explain.

Sample Input
Enter a number: 8

Sample Output
8! = 8 * 7 * 6 * 5 * 4 * 3 * 2 * 1 = 40320
Sample Input
Enter a number: 3

Sample Output
3! = 3 * 2 * 1 = 6
Sample Input
Enter a number: 10

Sample Output
10! = 10 * 9 * 8 * 7 * 6 * 5 * 4 * 3 * 2 * 1 = 3628800
Sample Input
Enter a number: 0

Sample Output
0! = 1 
Sample Input
Enter a number: 5

Sample Output
5! = 5 * 4 * 3 * 2 * 1 = 120

In: Computer Science

What was the age distribution of nurses in Great Britain at the time of Florence Nightingale?...

What was the age distribution of nurses in Great Britain at the time of Florence Nightingale? Suppose we have the following information. Note: In 1851 there were 25,466 nurses in Great Britain. a) Find the probability that a British nurse selected at random in 1851 would be 60 years of age or older. (Round your answer to three decimal places.)____________
b)Compute the expected age μ of a British nurse contemporary to Florence Nightingale. (Round your answer to two decimal places.)___________

c) Compute the standard deviation σ for ages of nurses shown in the distribution. (Round your answer to two decimal places.)___________

Age range (yr) 20-29 30-39 40-49 50-59 60-69 70-79 80+
Midpoint x 24.5 34.5 44.5 54.5 64.5 74.5 84.5
Percent of nurses 5.8% 9.5% 19.2% 29.4% 25.5% 9.0% 1.6%

In: Statistics and Probability

Edgerron Company is able to produce two products, G and B, with the same machine in...

Edgerron Company is able to produce two products, G and B, with the same machine in its factory. The following information is available. Product G Product B Selling price per unit $ 50 $ 80 Variable costs per unit 10 48 Contribution margin per unit $ 40 $ 32 Machine hours to produce 1 unit 0.4 hours 1.0 hours Maximum unit sales per month 600 units 200 units The company presently operates the machine for a single eight-hour shift for 22 working days each month. Management is thinking about operating the machine for two shifts, which will increase its productivity by another eight hours per day for 22 days per month. This change would require $4,000 additional fixed costs per month. (Round hours per unit answers to 1 decimal place. Enter operating losses, if any, as negative values.)

In: Accounting

For the data set shown below, complete parts (a) through (d) below. x y 20 102...

For the data set shown below, complete parts (a) through (d) below. x y 20 102 30 95 40 91 50 81 60 68 ​(a) Use technology to find the estimates of beta 0 and beta 1. beta 0 ~ b 0=_____​(Round to two decimal places as​ needed.) beta 1 ~ b 1=_____(Round to two decimal places as​ needed.) (b) Use technology to compute the standard error, the point estimate for o' (o with a little tag on the top) S e =_____(Round to four decimal places as needed.) (c) Assuming the residuals are normally distributed, use technology to determine Sb1 Sb1 =_____ (Round to four decimal places as required) (d) Assuming the residuals are normally distributed, test H0: B1 =0 versus H1:B1 =/ at the a = 0.005 level of significance. Use the P - value approach. The P - value for this test is _____ (Round to three decimal places as needed.

In: Statistics and Probability

Zion Electronics Company produces two products, Resistors and Transistors in a small manufacturing plant which had...

Zion Electronics Company produces two products, Resistors and Transistors in a small manufacturing plant which had total manufacturing overhead of $21,000 in June. The factory has two departments, Design, which incurred $10,000 of manufacturing overhead, and Production which incurred $11,000 of manufacturing overhead. Design used 250 hours of direct labor and Production used 80 machine hours.

Assume that Resistors used 100 direct labor hours to make 100 units and Transistors used 150 direct labor hours to make 100 units in the Design Department. Also, assume that Resistors used 50 machine hours and Transistors used 30 machine hours in the Production Department.

The overhead costs assigned to each unit of Resistors and Transistors using department overhead rate were:

A.

$108.75 for Resistors and $101.25 for Transistors

B.

$40 for Resistors and $137.50 for Transistors

C.

$234.30 for Resistors and $215.60 for Transistors

D.

$177.50 for Resistors and $177.50 for Transistors

In: Accounting

To examine the work environment on attitude toward work, an industrial hygienist randomly assigns a group...

To examine the work environment on attitude toward work, an industrial hygienist randomly assigns a group of 18 recently hired sales trainees to three "home rooms" - 6 trainees per room. Each room is identical except for wall color. One is light green, another is light blue, and the third is a deep red. During the week-long training program, the trainees stay mainly in their respective home rooms. At the end of the program, an attitude scale is used to measure each trainer's attitude toward work (a low score indicates a poor attitude and a high score a good attitude). On the basis of these data, the industrial hygenist wants to determine whether there is significant evidence that work environment (i.e., color of room) has an effect on attitude toward work, and if so, which room color(s) appear to significantly enhance attitude using the ANOVA test.

Here is the data:

Light Green Light Blue Deep Red
46 59 34
51 54 29
48 47 43
42 55 40
58 49 45
50 44 34

What is your conclusion?

Please help me to answer the question. Please give me step by step instructions on how to use SPSS program - ANOVA test. Thank you.

In: Statistics and Probability

Super Sneaker Company is evaluating two different materials, A and B, to be used to construct...

Super Sneaker Company is evaluating two different materials, A and B, to be used to construct the soles of their new active shoe targeted to city high school students in Canada. While material B costs less than material A, the company suspects that mean wear for material B is greater than mean wear for material A. Two study designs were initially developed to test this suspicion. In both designs, Halifax was chosen as a representative city of the targeted market. In Study Design 1, 8 high school students were drawn at random from the Halifax School District database. After obtaining their shoe sizes, the company manufactured 8 pairs of shoes, each pair with one shoe having a sole constructed from material A and the other shoe, a sole constructed from material B.

After 3 months, the amount of wear in each shoe was recorded in standardized units as follows:

1 2 3 4 5 6 7 8
A 17.23 13.09 11.13 15.02 12.01 11.68 13.62 13.45
B 14.73 15.17 13.73 13.08 15.51 14.09 12.70

14.57

What is the 99% confidence interval for the difference in wear between material B and material A (use B-A)? Use software to get a more precise critical value, but confirm it's roughtly the same value you get from the table. Use at least 5 digits to the right of the decimal. Lower bound:  Upper bound:

Alternative hypothesis was: uA-uB < 0

In: Statistics and Probability

Today is Sept. 1, 2009. Starting today you plan to invest $1000 every year, first deposit...

Today is Sept. 1, 2009. Starting today you plan to invest $1000 every year, first deposit today and last deposit on Sept. 1, 2025. After that, you plan to leave the money in the same account until Sept. 1, 2030. However, the interest rate is 8% compounded quarterly until your last deposit and only 7% compounded annually after that. How much money will you have in your account on Sept. 1, 2030?

a. $34,504.14

b. $35,504.14

c. $48,393.84

d. $49,005.74

e. None of the above

In: Finance

A food company has recently introduced a new line of fruit pies in 6 US cities:...

A food company has recently introduced a new line of fruit pies in 6 US cities: Atlanta, Baltimore, Chicago, Denver, St. Louis, and Fort Lauderdale. Based on the pie’s apparent success, the company is considering a nationwide launch. Before doing so, it has decided to use data collected during a two-year market test to guide it in setting prices and forecasting future demand.

            For each of the 6 markets, the firm has collected eight quarters of data for a total of 48 observations. Each observation consists of data on quantity demanded (number f pies purchased per week), price per pie, a competitor’s average price per pie, income, and population. The company has also included a time-trend variable. A value of 1 denotes the 1st quarter observation, 2 the 2nd quarter, and so on, up to 8 for the 8th and last quarter.

            A company forecaster has run a regression on the data, obtaining the results displayed in the accompanying table.

Coefficient Stand. Error of Coefficient Mean Value of Variable
Intercept -4,516.3 4,988.2 ------
Price ($) -3,590.6 702.8 7.5
Competitors'price($) 4,226.5 851 6.5
Income ($000) 777.1 66.4 40
Population (000) 0.40 0.31 2,300
Time (1 to 8) 356.1 92.3 ------
N = 48 R^2 = 0.93 Standard error regression = 1,442

C.) Other things equal, how much do we expect sales to grow (or fall) over the next year?

D.) How much accurate is the regression equation in predicting sales new quarter? Two years from now? Why might these answers differ?

E.) How confident are you about applying these test-market results to decisions concerning national pricing strategies for pies?

In: Economics