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Please help me with my stats assignment!For #3 the options for D)t-distribution with df = 6,t-distribution with df = 2,chi-square distribution with df = 2,chi-square

Please help me with my stats assignment!For #3 the options for D)t-distribution with df = 6,t-distribution with df = 2,chi-square distribution with df = 2,chi-square distribution with df = 6,chi-square distribution with df = 102. For #3 E)0.01 0.10,0.05 0.10,0.05

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Random samples of 48 male students and 56 female students at the U of A were asked to state their car preference Olivia attends school at the University of Alberta and decides to compile a contingency table of students who are (American, European, and Japanese). The resulting frequencies are shown in the following table. Is there enough taking various degrees. She surveys a group of students, and the data she collects is listed in the contingency table didence to conclude a difference in car preference between males and females? below. Olivia want to see if degree and gender are dependent variables. American European Japanese phD Masters:Undergraduate 15 11 22 Male 25 20 Female: 11 26 69 (a) In performing this statistical test, state the hypotheses. (a) In performing this statistical test, state the hypotheses. Ho: the proportion of males is the same for each car preference vs. HA: the proportion of males is not the same for each car preference O Ha: Degree is associated with gender vs. HA: Degree is not associated with gender Ho: the distribution of preference is the same for males and females vs. HA: the distribution of preference is O He: The proportion of female students is the same as the proportion of male students vs. HA: The proportion not the same for males and females of female students is not the same as the proportion of male students Hy: the distribution of gender is not the same for each car preference vs. Ha: the distribution of gender is the O He: Degree and gender are dependent vs. HA: Degree and gender are independent same for each car preference O Ho: Degree is related to gender vs. HA: Degree is not related to gender He: the proportion of females is the same for each car preference vs. HA: the proportion of females is not the same for each car preference O He: Degree and gender are independent vs. HA: Degree and gender are dependent He: the distribution of preference is not the same for males and vs. He: the distribution of preference is the same for males and females (b) What is the expected frequencies of each cell? Fill out the table. (Round your answers to 2 decimal places, if needed. [b] What is the expected freque table. (Round your answers to 2 decimal places, if PhD Masters Undergraduate Male 16.0 4 13.85 3 Female 68.73 20.46 (c) What is the test statistic value for this hypothesis test? (Round your answers to 2 decimal places, if needed.) TS = (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 = 2 (d) The test statistic follows a t-distribution with of = 6 (e) Using the statistical table, the p-value is p-value > 0.10 (o) Using the statistical table, the p-value is 0.01

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