Question
StatCrunch StatCrunch Assignment 3A Copy and paste the link: https://www.statcrunch.com/collectors/statcrunchu You will select a sample of 100 students from this population and analyze the data
StatCrunch
StatCrunch Assignment 3A
Copy and paste the link:
https://www.statcrunch.com/collectors/statcrunchu
You will select a sample of 100 students from this population and analyze the data from the sample to draw conclusions about the entire population. We want our sample to be unbiased, so we will start by selecting a random sample of size 100.
Use the StatCrunch U data set that you developed in Module 2 as part of the first StatCrunch assignment.
As you did in StatCrunch Assignment 1B, look at the items in the StatCrunch U survey and develop a question regarding population proportions that can be answered using the survey data you collected.
As a reminder, here are the items on the survey:
Student Finances Survey
- What is your gender
Female
Male
- What is your classification?
1 - Freshman
2 - Sophomore
3 - Junior
4 - Senior
- How many credit hours are you taking this semester?
- How many hours do you work each week? Please provide your answer to the nearest half hour.
- What is the total amount (in dollars) of your students loans to date?
- What is the total amount (in dollars) of credit card debt you have accrued to date?
Here are some possible questions.Feel free to pick one of those questionsbut it would be better for you to formulate a question of your own. A question related to a single proportion (since our sample data is drawn from a single population) and one that will require the use of a confidence interval and hypothesis test to answer.
NOTE: There is a sample StatCrunch Assignment 3 designed to give you an idea of how to do assignment. It uses a question related to the proportions of female and male students at StatCrunch U. You cannot use that question on this assignment.
Is the proportion of female students at StatCrunch U different from the nationwide proportion of female students as reported by USA today?
Is the proportion of seniors less than 25% of the student body?
Is the proportion of students who work different from the nationwide proportion of students who work reported as 71% by a 2013 U.S. Census report?
Is the proportion of students with student loans greater than the proportion of students without student loans? (This can be treated as a single proportion problem from the point of view that all students either do or do not have a student loan.
Answer each of the following questions. Point values are indicated with each question.
1.State your question. Remember that your question should be related to the population proportion or proportions and should be one that will require the use of a confidence interval and hypothesis test to answer. Assume that your sample is representative of the population.
2.Explain the methodology you will use to answer the question you posed. Your explanation should include answers to the following questions. Do not include your analysis or answers to your question hereonly describe how you will do the analysis.
What is the variable of interest?
- What confidence interval will you use?
- What are your null and alternate hypotheses?
- Is it a one-sample or two-sample test?
- Is it an upper (right)-, lower (left)-, or two-tail test?
- What level of significance will you use and why?
- Are the conditions necessary for a confidence interval and hypothesis test for the population proportion satisfied? Explain.
3.Carry out the methodology described in 2 above. Use StatCrunch and paste copies of the StatCrunch output in the space below. (NOTE: For the purposes of this assignment, go ahead and complete the confidence interval and hypothesis test even if there are not at least 10 successes and 10 failures.) Your explanation should include answers to the following questions:
What are the upper and lower bounds of the confidence interval?
- What is the error term in the confidence interval?
- What does the confidence interval mean in terms of the question you posed?
- What is the p-value in your hypothesis test and what does it mean in terms of the question you posed?
- Did you reject or not reject the null hypothesis and why?
- What is the conclusion of your hypothesis test in terms of the question you posed?
- Do the results of the confidence interval and hypothesis test agree? Explain.
4.Based on the results of 2 and 3 above, answer your question. Include an explanation of how you used the StatCrunch output to formulate your answer.
StatCrunch Table:
Gender ClassHoursWorkLoansCC Debt
Female 414007286
Male1121730261525
Female 418017056 4089
Female 41316.505283
Male212002109
Male1211045721717
Male3120127013787
Male41613.5144140
Female 41518.5156310
Female 114001318
Male31511114340
Female 2151487632961
Male315002970
Female 415005656
Female 315002684
Female 114039631182
Female 315005428
Female 11121.501036
Female 41028149452832
Female 492309654
Female 11200975
Male215082383066
Female 1929.537151301
Female 11517.544940
Female 11214.539771370
Female 317006127
Female 11810.550741007
Male114001191
Female 11517.529521186
Male313004079
Female 216067491923
Male413003730
Female 217003320
Female 115001367
Female 415003147
Male214070202842
Male112000
Female 215003257
Female 31217.5106672852
Female 116001178
Male1121946311902
Male3170153215166
Male315005128
Female 118001259
Male117001525
Male112001369
Female 1171332891261
Female 41417.5144107430
Female 26002682
Male2634.578900
Female 1161335451208
Male3160122462380
Female 115001313
Male118001325
Female 2171081653176
Female 4926.5149890
Female 114028031184
Female 11514.531431135
Female 117001230
Male111285441410
Female 2633.576052892
Male315004363
Female 217002914
Female 41512.5158970
Female 273472271842
Female 31515135562961
Female 4627.5151272152
Female 31415122132637
Female 220668842304
Female 21613109793067
Female 118001375
Female 415003521
Male2627.588013147
Male1113050031565
Male31519118644028
Female 414000
Female 3130126903500
Male115001678
Male316005479
Male4170017669
Female 417007535
Male212002060
Male3200110044863
Female 316004727
Male2627.578373105
Male216002784
Male390119943555
Male2151476963519
Male117000
Female 412004195
Female 21316.568222147
Female 2189.575062472
Female 415004957
Female 118024111267
Female 31119.5124932398
Female 21117.584833188
Male116001476
Female 11516.532571210
Male312006608
Male320004577
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