Give all answers rounded to 2 places after the decimal point, if necessary. (a) Enter the expected frequencies below: X Y Z A B (b) What is the chi-square test-statistic for this data? Test Statistic: x² = (c) What is the p-value for this test of independence
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- You are conducting a test of the claim that the row variable and the column variable are dependent in the following contingency table. X Y Z A 67 6 30 B 66 20 29 Give all answers rounded to 3 places after the decimal point, if necessary. (a) Enter the expected frequencies below: X Y Z A B (b) What is the chi-square test-statistic for this data? Test Statistic: χ2=χ2= (c) What is the critical value for this test of independence when using a significance level of αα = 0.05? Critical Value: χ2=χ2= (d) What is the correct conclusion of this hypothesis test at the 0.05 significance level? There is sufficient evidence to warrant rejection of the claim that the row and column variables are dependent. There is not sufficient evidence to warrant rejection of the claim that the row and column variables are dependent. There is not sufficient evidence to support the claim that the row and column variables are dependent. There is…You are conducting a test of the claim that the row variable and the column variable are dependent in the following contingency table. X Y Z A 29 50 31 B 33 46 22 Give all answers rounded to 3 places after the decimal point, if necessary. (a) Enter the expected frequencies below: X Y Z A B (b) What is the chi-square test-statistic for this data? Test Statistic: χ2=χ2= (c) What is the critical value for this test of independence when using a significance level of αα = 0.10? Critical Value: χ2=χ2= (d) What is the correct conclusion of this hypothesis test at the 0.10 significance level? There is sufficient evidence to warrant rejection of the claim that the row and column variables are dependent. There is not sufficient evidence to warrant rejection of the claim that the row and column variables are dependent. There is not sufficient evidence to support the claim that the row and column variables are dependent. There is…You are conducting a test of the claim that the row variable and the column variable are dependent in the following contingency table. X Y Z A 25 15 26 B 12 53 42 Give all answers rounded to 3 places after the decimal point, if necessary.(a) Enter the expected frequencies below: X Y Z A B b) What is the chi-square test-statistic for this data? Test Statistic: χ2= (c) What is the critical value for this test of independence when using a significance level of α= 0.05? Critical Value: χ2=(d) What is the correct conclusion of this hypothesis test at the 0.05 significance level? There is not sufficient evidence to support the claim that the row and column variables are dependent. There is sufficient evidence to warrant rejection of the claim that the row and column variables are dependent. There is sufficient evidence to support the claim that the row and column variables are dependent. There is not sufficient evidence to warrant rejection of…
- You are conducting a test of the claim that the row variable and the column variable are dependent in the following contingency table. X Y Z A 21 39 33 B 15 47 30 Give all answers rounded to 3 places after the decimal point, if necessary. (a) Enter the expected frequencies below: X Y Z A B (b) What is the chi-square test-statistic for this data? Test Statistic: χ2=____________ (c) What is the critical value for this test of independence when using a significance level of α = 0.005? Critical Value: χ2=________ (d) What is the correct conclusion of this hypothesis test at the 0.005 significance level?___________ There is sufficient evidence to support the claim that the row and column variables are dependent. There is not sufficient evidence to warrant rejection of the claim that the row and column variables are dependent. There is sufficient evidence to warrant rejection of the claim that the row and column variables are…You are conducting a test of the claim that the row variable and the column variable are dependent in the following contingency table. X Y Z A 31 56 44 B 45 22 16 Give all answers rounded to 3 places after the decimal point, if necessary. (a) Enter the expected frequencies below: X Y Z A B (b) What is the chi-square test-statistic for this data? Test Statistic: χ2=χ2= (c) What is the critical value for this test of independence when using a significance level of αα = 0.10? Critical Value: χ2=χ2= (d) What is the correct conclusion of this hypothesis test at the 0.10 significance level? There is not sufficient evidence to support independence of the row and column variables. There is sufficient evidence to support independence of the row and column variables. There is sufficient evidence to reject independence of the row and column variables. There is not sufficient evidence to reject independence of the row and column…You are conducting a test of the claim that the row variable and the column variable are dependent in the following contingency table. X Y Z A 48 22 21 B 32 25 46 Give all answers rounded to 3 places after the decimal point, if necessary. (a) Enter the expected frequencies below: X Y Z A B (b) What is the chi-square test-statistic for this data? Test Statistic: χ2= (c) What is the critical value for this test of independence when using a significance level of α = 0.025? Critical Value: χ2=
- The least-squares regression line relating two statistical variables is given as = 24 + 5x. Compute the residual if the actual (observed) value for y is 38 when x is 2. 4 38 2a. Assuming for the moment that all coefficients are significant, please interpret the coefficients of the four independent variables in the BIG b. To determine which of the two models above is statistically superior at the .10 level, please calculate the appropriate F‐statistic.In a regression based on 30 annual observations, U.S. farm income was related to four independent variables—grain exports, federal government subsidies, population, and a dummy variable for bad weather years. The model was fitted by least squares, resulting in a Durbin-Watson statistic of 1.29. The regression of e2i on ŷi yielded a coefficient of determination of 0.043.a. Test for heteroscedasticity.b. Test for autocorrelated errors.
