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Hello, I need help with my practice exam, It is for my Quant Analysis class. Thank you. A. If we are testing for the equality

Hello, I need help with my practice exam, It is for my Quant Analysis class.

Thank you.

A. If we are testing for the equality of 3 population means, we should use the _____.

test statisticF

test statistict

test statisticz

test statistic?2

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Quizzes - Quant Analysis for Busi X Homework Help - Q&A from Onl x - X C A gga.view.usg.edu/d21/Ims/quizzing/user/attempt/quiz_start_frame_auto.d21?ou=2317242&isprv=&drc=08qi=2860150&cfql=0&dnb=0&fromQB=0 Y Exam 2 X Time Limit: 2:00:00 Time Left:1:59:51 Yacouba Konate: Attempt 1 Page 1: Previous Page Next Page Page 1 of 9 1 Question 1 (3 points) A random sample of 1,000 students from two different universities was asked whether they owned an Iphone, android Page 2: or other type of smartphone. The following contingency table shows the results of the survey. 2 3 4 Type of phone University A University B Total Page 3: phone 260 280 540 Android 160 220 380 5 6 Other 40 40 80 Total 460 540 1000 At a = .05, test to determine if the type of phone is independent of the university which the students attend. Page 4: 7 Page 5: 8 9 10 A/ Page 6: 11 Page 7: Previous Page Next Page Page 1 of 9 Type here to search O 9:26 PM 75'F Mostly clear ~ [) 6/24/2021 16Question 2 (1 point) Exhibit 12-14 Last year, 40% of the students at GGC were in the School of Business, 10% of the students were in the School of Liberal Arts, 25% of the students were in the School of Science, 15% of the students were in the Education, and 10% were in the School of Health Science. To see whether the proportions have changed, a random sample of 200 students from GGC was selected. Ninety of the sample students are in the School of Business, 10 are in the School of Liberal Arts, 60 are in the School of Science, 30 are in the Education College and 10 are in the School of Health Science. Refer to Exhibit 12-14. If the proportions are the same as they were in the past, the expected frequency for the School of Business 19 O 80 O .40 .03 105 Question 3 (1 point) The number of degrees of freedom for the appropriate chi-square distribution in a goodness of fit test is O number of rows minus 1 times number of columns minus 1 On-1 O dependent upon the statement of the null hypothesis Question 4 (1 point)OH 0 dependent upon the statement of the null hypothesis OkJ Question 4 {1 point) Exhibit 115 The table below gives beverage preferences for random samples of teens and adults. Beverage Teens Adults Total Coffee 50 200 250 Tea 10:] 150 250 50ft m 2m] 20:} 400 Other i Q J 400 500 1,000 we are asked to test for independence between age (i.e., adult andteen) and drink preferences. Refer to Exhibit 12-5. What can be concluded from this test? 0 There is enough evidence to conclude that: age and drink preference is dependent. 0 There is not enough evidence to conclude that age and drink preference is dependent. O The test is inconclusive. 0 None ofthe answers is correct. Question 5 (1 point) Exhibit 12-6 The following shows the number of individuals in a random sample of 300 adults who indicated they support the new tax proposal. Political Party Support Democrats 100 Republicans 120 Independents 80 We are interested in determining whether the opinions of the individuals of the three groups are uniformly distributed. Refer to Exhibit 12-6. The calculated value for the test statistic equals 300 4 O s Question 6 (1 point) Exhibit 12-14 Last year, 40% of the students at GGC were in the School of Business, 10% of the students were in the School of Liberal Arts, 25% of the students were in the School of Science, 15% of the students were in the Education, and 10% were in the School of Health Science. To see whether the proportions have changed, a random sample of 200 students from GGC was selected. Ninety of the sample students are in the School of Business, 10 are in the School of Liberal Arts, 60 are in the School of Science, 30 are in the Education College and 10 are in the School of Health Science. Refer to Exhibit 12-14. Based upon this test, what can be concluded?Question 6 (1 point) Exhibit 12-14 Last year, 40% of the students at GGC were in the School of Business, 10% of the students were in the School of Liberal Arts, 25% of the students were in the School of Science, 15% of the students were in the Education, and 10% were in the School of Health Science. To see whether the proportions have changed, a random sample of 200 students from GGC was selected. Ninety of the sample students are in the School of Business, 10 are in the School of Liberal Arts, 60 are in the School of Science, 30 are in the Education College and 10 are in the School of Health Science. Refer to Exhibit 12-14. Based upon this test, what can be concluded? O There is enough evidence to conclude that the proportions have changed significantly. O There is enough evidence to conclude that the proportions have not changed significantly. O The test is inconclusive. O None of the answers is correct. Previous Page Next Page Page 3 of 9Question 8 (1 point) Exhibit 13-21 Source of Variation Sum of Degrees of Mean Squares Freedom F Square Between Groups (Treatment) 6,000.0 5 1,200 Within Groups (Error) 24 288 Total 29 Refer to Exhibit 13-21. The sum of squares due to error equals 5,760 2,073.6 15.4 O 6,912Exhibit 13-17 Jimmy Kimmel Live! on ABC, The Tonight Show Starring Jimmy Fallon on NBC, and The Late Show with Stephen Colbert on CBS are three popular late-night talk shows. The following table shows the number of viewers in millions for a 8-week period during the spring for each of these shows (TV by the Numbers website). The Tonight Jimmy Show Late Show Week Kimmel Live Starring with Stephen (ABC) Jimmy Fallon Colbert (CBS) (NBC) April 11 - April 15 2.21 3.24 2.16 April 18 - April 22 2.10 2.77 2.56 April 25 - April 29 2.24 3.15 2.45 May 02 - May 06 2.12 3.20 2.57 May 09 - May 16 2.21 3.31 2.45 May 16 - May 20 1.97 3.10 2.31 May 23 - May 27 2.47 3.30 2.07 May 30 - June 03 2.64 2.66 2.08May 16 12.21 3.31 12.45 May 16 - May 20 1.97 3.10 2.31 May 23 - May 27 2.47 3.30 2.07 May 30 - June 03 2.64 2.66 2.08 Refer to Exhibit 13-17. Using Excel's ANOVA procedure, give the value of the test statistic 8.61 O 11.71 35.09 0.96

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