Imagine you and your 10 study group partners are interested in whether all those hours you...

Imagine you and your 10 study group partners are interested in whether all those hours you spent together working on statistics problems for midterm exam 2 actually
helped your group’s performance on that exam relative to its performance on the first midterm exam. Suppose the first and second midterm grades were as follows:

Midterm 1 Midterm 2
Homer 25    28
Marg    20    19
Bart    15    21
Lisa    16    25

Maggie 30 30

Apu    20    22
Eddie 19    19
Krusty    5 0
Itchy 29    30
Scratchy 29    28
You 24 30

Is there sufficient evidence (at α = .05) to conclude that the group performed better
on midterm 2? Please provide all your calculations

Solutions

Expert Solution

From the above information,

We perform paired t test

Null hypothesis:-

difference between the average of the After midterm Before and μ0 is not big enough to be statistically significant.

By using minitab statistical software

Decision:-

P-value=0.920 > level of significance (0.05)

Accept null hypothesis.

Conclusion:-

Hence there is no sufficient evidence to conclude that the group performed better on midterm 2.

Thanks dear,

If you satisfied with my answer then please like it definitely.

orchestra answered 1 year ago

Next > < Previous

Related Solutions

Imagine that you are forming a partnership with two other partners. All three of you have...

Imagine that you are forming a partnership with two other partners. All three of you have cash to invest in the business as well as skills to contribute. Two of your partners will provide services, along with investing cash. Are there any details you think should be included in the partnership agreement? What disadvantages should you be aware of when forming a partnership? How will you allocate income or loss? Will you also include a salary allowance for the partners...

Imagine you and your partners are starting up a delivery service that satisfy the need and...

Imagine you and your partners are starting up a delivery service that satisfy the need and wants of the society during the Covid-19 epidemic. Design for the delivery service based on the following requirements: 1. Introduction a) Nature of the business b) Business background and profile 2. Type of business entity you chose - partnership or company 3. Reasons for choosing partnership or company a) the advantages and benefits b) Provide a court case that could support your reason 4....

Scenario: Imagine you are a researcher who is interested in studying whether sleep deprivation leads to...

Scenario: Imagine you are a researcher who is interested in studying whether sleep deprivation leads to increased reaction times (i.e., being slower) when driving. You randomly select a sample of 30 licensed drivers. Fifteen participants are randomly assigned to get 5 hours of sleep for three consecutive nights. The other 15 participants are randomly assigned to get 8 hours of sleep for three consecutive nights. For the purposes of this Assignment, assume that all participants sleep exactly the required amounts....

Think of a correlational study that you might be interested in conducting. Now imagine you’ve conducted...

Think of a correlational study that you might be interested in conducting. Now imagine you’ve conducted it. In a few sentences describe the data you collected, the hypothetical results (including the correlation coefficient), and a concluding statement about the results of your (hypothetical) study.

the leaders of the study are interested in the determining whether there is a difference in...

the leaders of the study are interested in the determining whether there is a difference in mean annual contributions for individuals covered by TSA's and those with 401(k) retirements program. you can use the results form the following table to test if the population mean of individual covered by TSAs is higher than those covered by 401(k). TSA 401(K) n1 = 8 n2=10 x1= 322.5 x2=298.3 s1=48.3 s2= 53.3 1. Formulate the appropriate null and alternative hypotheses 2....

Imagine that a group of obese children is recruited for a study in which their weight...

Imagine that a group of obese children is recruited for a study in which their weight is measured, then they participate for 3 months in a program that encourages them to be more active, and finally their weight is measured again. Explain how each of the following might affect the results: regression to the mean spontaneous remission history maturation al least 350words

Suppose we are interested in whether there is a difference between the median numbers of hours...

Suppose we are interested in whether there is a difference between the median numbers of hours spent each week by men and woman watching television. Two random samples were taken: the numbers of hours taken by men and women watching television are shown below. You are about to test the null hypothesis that there is no difference in weekly television watching hours between men and woman. Men: 5 10 12 15; Women: 0 7 4 3 6 8 a) calculate...

Suppose we are interested in whether there is a difference between the median numbers of hours...

For the two large newspapers in your city, you are interested in knowing whether there is...

For the two large newspapers in your city, you are interested in knowing whether there is a significant difference in the average number of pages in each dedicated solely to advertising. You randomly select 10 editions of newspaper A and 6 editions of newspaper B (excluding weekend editions). The data follow. Use = 0.01 to test whether there is a significant difference in averages. Assume the number of pages of advertising per edition is normally distributed and the population variances...

You and a team of scientists are interested in understanding whether your weight gain drug was...

You and a team of scientists are interested in understanding whether your weight gain drug was useful to help underweight population to gain weight. For your sample of 25 people, their weight was measured before, and then post the drug administration. The difference in their weight, was measured and calculated by POST – PRE. The sample had an average difference of + 0.8 lbs, with a standard deviation of 1.5 lbs. Does your sample suggest that your weight gain drug...

Subjects