Random samples of 49 first-year students and 48 second-year students at the U of A were asked to state their car preference (American, European, and Japanese). The resulting frequencies are shown in the following table. Is there enough evidence to conclude a difference in car preference between first-years and second-years? American European Japanese 1st 16 10 23 2nd 11 22 15 (a) In performing this statistical test, state the hypotheses. Ho: the distribution of preference is the same for first-years and second-years vs. Ha: the distribution of preference is not the same for first-years and second-years Ho: the proportion of first-years is the same for each car preference vs. Ha: the proportion of first-years is not the same for each car preference Ho: the proportion of second-years is the same for each car preference vs. Ha: the proportion of second-years is not the same for each car preference Ho: the distribution of student year is not the same for each car preference vs. Ha: the distribution of student year is the same for each car preference Ho: the distribution of preference is not the same for first-years and second-years vs. Ha: the distribution of preference is the same for first-years and second-years (b) What is the expected frequencies of each cell? Fill out the table. (Round your answers to 2 decimal places, if needed.) American European Japanese 1st 13.64 2nd 18.8 (c) What is the test statistic value for this hypothesis test? (Round your answers to 2 decimal places, if needed.)TS = (d) The test statistic follows a chi-square distribution with df = 95 t-distribution with df = 2 chi-square distribution with df = 6 chi-square distribution with df = 2 t-distribution with df = 6 (e) Using the statistical table, the p-value is 0.05 < p-value < 0.10 0 < p-value < 0.005 0.01 < p-value < 0.025 0.025 < p-value < 0.05 0.005 < p-value < 0.01 p-value > 0.10 (f) Based on the p-value, those conducting the test should ____ the null hypothesis at the significance level of 0.05. reject fail to reject (g) What is the appropriate conclusion? There is sufficient evidence to conclude the proportion of first-years is not the same for each car preference. There is sufficient evidence to conclude there is no difference in first-years and second-years for car preference. There is insufficient evidence to conclude there is a difference in first-years and second-years for car preference. There is sufficient evidence to conclude there is a difference in first-years and second-years for car preference. There is insufficient evidence to conclude the proportion of first-years is not the same for each car preference. *Please note this is all part of one question, i've tried this multiple times but I am confused. Please help*
Random samples of 49 first-year students and 48 second-year students at the U of A were asked to state their car preference (American, European, and Japanese). The resulting frequencies are shown in the following table. Is there enough evidence to conclude a difference in car preference between first-years and second-years?
American | European | Japanese | |
---|---|---|---|
1st | 16 | 10 | 23 |
2nd | 11 | 22 | 15 |
(a) In performing this statistical test, state the hypotheses.
(b) What is the expected frequencies of each cell? Fill out the table. (Round your answers to 2 decimal places, if needed.)
American | European | Japanese | |
---|---|---|---|
1st | 13.64 | ||
2nd | 18.8 |
(c) What is the test statistic value for this hypothesis test? (Round your answers to 2 decimal places, if needed.)
TS =
(d) The test statistic follows a
- chi-square distribution with df = 95
- t-distribution with df = 2
- chi-square distribution with df = 6
- chi-square distribution with df = 2
- t-distribution with df = 6
(e) Using the statistical table, the p-value is
- 0.05 < p-value < 0.10
- 0 < p-value < 0.005
- 0.01 < p-value < 0.025
- 0.025 < p-value < 0.05
- 0.005 < p-value < 0.01
- p-value > 0.10
(f) Based on the p-value, those conducting the test should ____ the null hypothesis at the significance level of 0.05.
reject
fail to reject
(g) What is the appropriate conclusion?
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