Bi-Weekly Quiz 3

Started: Apr 26 at 16:13

Quiz Instructions

Instructions: This quiz is available from 8:00am on Friday, 26 April 2024 to 11:00pm on Saturday, 27 April 2024, and it is worth 2% of the total mark for this unit. You have 30 minutes to complete the quiz on Canvas>Quizzes, and you can attempt this quiz up to two times. Answers submitted after 11:00pm will not be marked. You may use Excel to find the answers to questions in the tasks. This quiz has 3 tasks and a total of 17 questions, and the full mark is 2. An Excel data file is provided within this quiz. If your numerical answer has more than 4 decimal places, you must round your answer to 4 decimal places. 

After the quiz, there is no need to upload the Excel file to Canvas.

Excel file: QBUS5001(2024S1) Quiz 3 (Data).xlsx Download QBUS5001(2024S1) Quiz 3 (Data).xlsx

In this quiz, only the designated mark will be awarded for a correct answer to a question. Partial mark will not be awarded. 

Give all number answers to four decimal places. For example, “3.6” and “0.01234” must be entered as “3.6000” and “0.0123”, respectively. 

Note: this is a timed quiz. You may check the remaining time you have at any point while taking the quiz by pressing the keyboard combination SHIFT, ALT, and T... Again: SHIFT, ALT, and T...
 
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0 text_only_question    

Task 1 (0.5 mark): Two population means – Independent samples 

Population 1 and Population 2 contain the final marks of a large postgraduate unit in 2019S1 and in 2021S1, respectively. We assume that the final marks of both units are normally distributed, and their population variances are equal. Independent samples are taken from these two populations, and the data are given in Spreadsheet “Task 1”. Our objective is to determine whether students in 2021S1 performed better on average than those in 2019S2. Conduct appropriate tests on the data.

Answer Question 1 to Question 5.

 
Flag question: Question 1
Question 1 0.1 pts
0 numerical_question   4639118

The test statistic follows a standard Student-t distribution with how many degrees of freedom? Give your answer as an integer value. 

 
Flag question: Question 2
Question 2 0.1 pts
0 numerical_question   4639119

What is the observed value of the test statistic?

 
Flag question: Question 3
Question 3 0.1 pts
0 numerical_question   4639120

What is the p-value of the hypothesis test? 

 
Flag question: Question 4
Question 4 0.1 pts
0 short_answer_question   4639121

Is the null hypothesis rejected at the 10% level of significance? (Yes/No)

 
Flag question: Question 5
Question 5 0.1 pts
0 short_answer_question   4639122

Is there sufficient evidence to support the hypothesis that students in 2021S1 performed better on average than those in 2019S1? (Yes/No)

 
 
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Question 6 0.1 pts
0 numerical_question   4639123

What is the standard error of the test statistic?

 
Flag question: Question 7
Question 7 0.1 pts
0 numerical_question   4639124

What is the critical value at the 5% level of significance? 

 
Flag question: Question 8
Question 8 0.1 pts
0 short_answer_question   4639125

Is the null hypothesis rejected at the 5% level of significance? (Yes/No)

 
Flag question: Question 9
Question 9 0.1 pts
0 short_answer_question   4639126

Is there sufficient evidence to support the hypothesis that students performed better on average in the final exam than in the mid-semester exam by more than 8 marks at the 1% level of significance? (Yes/No)

 
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0 text_only_question    

Task 3: (1.1 marks) Two population populations – Independent samples

An Australian airline would like to know whether their frequent flyer members are more satisfied with services on international routes or domestic routes. Let p1 and p2 be the population proportions of service satisfaction on international and domestic routes, respectively. Two independent samples of are taken from the pool of frequent flyer members. In the international sample, 135 out of 250 members express satisfaction with the airline’s services, while in the domestic sample, 188 out of 400 members are satisfied. Our objective is to determine whether the two population proportions are different. Conduct appropriate tests on the data and use α = 0.05.

Answer Question 10 to Question 17.

 
Flag question: Question 10
Question 10 0.1 pts
0 numerical_question   4639127

What is the LCL of a 98% confidence interval for p1 - p2

 
Flag question: Question 11
Question 11 0.1 pts
0 numerical_question   4639128

What is the UCL of a 98% confidence interval for p2 – p1?  

 
Flag question: Question 12
Question 12 0.1 pts
0 numerical_question   4639129

What is the pooled estimate of the population proportion? 

 
Flag question: Question 13
Question 13 0.1 pts
0 numerical_question   4639130

What is the observed value of the test statistic? 

 
Flag question: Question 14
Question 14 0.1 pts
0 numerical_question   4639131

What is the p-value of the test? 

 
Flag question: Question 15
Question 15 0.1 pts
0 short_answer_question   4639132

Is the null hypothesis rejected? (Yes/No)

 
Flag question: Question 16
Question 16 0.1 pts
0 short_answer_question   4639133

Is there sufficient evidence to support the hypothesis that p1 and p2 are different. (Yes/No)

 
Flag question: Question 17
Question 17 0.4 pts
0 fill_in_multiple_blanks_question   4639134

In testing whether p1 exceeds p2 by more than 0.04, the observed value of the test statistic is , and the critical value is . The null hypothesis (is/is not) rejected, and there is (sufficient/insufficient) evidence to support the hypothesis that p1 - p2 > 0.04. 

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