Last semester,an experiment was done in class where 40 students were asked to take out all of the coins they had on them. Pennies, nickels, dimes, and quarters (no bills – just coins). The students added it up, and then gave  their total (in \$).Students were asked to provide their gender. Below is the data from that class session.I want YOU to run the appropriate test  on the data using student gender as the independent variable and amount of change as the dependent variable. Do you think one gender had more in money in coins than the other?

Your job is to determine if males have a significantly different total amount in coins than females. As you worked on this problem, be mindful of the eight steps we covered in Chapter 10 (Salkind).  Use the data in this table to answer the questions that follow.

 Student Gender (M or F) \$ Amount (Total) In Coins Student Gender (M or F) \$ Amount (Total) In Coins Male .00 Female 2.50 Male .00 Female 2.89 Male .00 Male 1.25 Female .00 Male 1.25 Female .00 Female 1.50 Male .00 Male 1.33 Male .00 Female 2.90 Male .00 Female 2.62 Female 1.00 Male 1.00 Female .87 Female 3.10 Male .93 Female 3.15 Male .50 Male 1.50 Female 1.45 Male 1.50 Female 1.50 Female 2.00 Female 2.10 Male 1.60 Male .75 Female 3.25 Male .89 Female 3.90 Female 2.00 Male 1.93 Male 1.00 Male 2.00 Female 2.32 Female 3.78

Question 1 2 pts

Select the null hypothesis

 Ho: Males and females do not differ in the amount of money they have on them Ho: Males and females will differ in the amount of money they have on them

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Question 2 2 pts

Select the alternative hypothesis

 Ha: Males and females will differ in the amount of money they have on them Ha: Males and females will not differ in the amount of money they have on them

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Question 3 2 pts

What is the risk level?

 0.05 0.5

 0.25 -0.05

Question 4 2 pts

What is the best statistical test to use?

 t-Test for independent samples correlation test
 z-test t-Test for dependent samples

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Question 5 2 pts

Compute the test statistic. Which of the following is the value of the test statistic you computed?

 -3.51 -3.56
 -3.49 -3.55

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