D.Consider the following 2 x 2 contingency table for an experiment in which you sampled the...
1. Use the data in the contingency table to answer the question. Columns Rows 1 2 3 Total 1 36 35 92 163 2 67 57 113 237 Total 103 92 205 400 You wish to test the null hypothesis of "independence"—that the probability that a response falls in any one row is independent of the column it falls in—and you plan to use a chi-square test. You are given that there are 2 degrees of freedom associated with the...
A multinomial experiment with k- 4 cells and associated cell counts produced the data shown in the following table. Category 1 Category 2 Category 3 Category 4 62 |42 |37 Test the following hypothesis: Ho: pi-P2 = P3 = p4 , HA: At least one of the proportions exceeds 1/4. Calculate the Chi-Squared,x2 test statistic. Round your answer to 2 decimal places A multinomial experiment with k = 4 cells and associated cell counts produced the data shown in the...
Provide an appropriate response. The contingency table below shows the results of a random sample of 200 state representatives that was conducted to see whether their opinions on a bill are related to their party affiliation. Opinion Party Approve Disapprove No Opinion Republican 42 20 14 Democrat 50 24 18 Independent 10 16 6 Find the chi-square test statistic, x2, to test the claim of independence. Test for Independence-Contingency tables 11.765 7.662 8.030 9.483
The contingency table below shows the results of a random sample of 200 state representatives that was conducted to see whether their opinions on a bill are related to their party affiliation. Opinion Approve Disapprove No Opinion 14 18 Republican 42 50 20 24 Democrat Independent 1016 Find the number of degrees of freedon and the critical value x o, to test the claim of independence using a 0.05 A) df 9; x2 16.919 C) df 4; x2-11.143 B) df-5;...
Consider the following contingency table with ordinal variables VariableA | A1 | A2| A3 Variable B120 40 15 BB2 40 30 12 B3 70 90 33 АЗ a- b- c- Test the hypothesis of independence using the Pearson correlation statistic. Calculate the number of concordant and discordant pairs Calculate the Gamma measure and the Somer's d measure. Consider the following contingency table with ordinal variables VariableA | A1 | A2| A3 Variable B120 40 15 BB2 40 30 12 B3...
CH12 Q4 Given the following contingency table, conduct a test for independence at the 1% significance level. (You may find it useful to reference the appropriate table: chi-square table or F table) Variable A Variable B 31 34 32 58 a. Choose the null and alternative hypotheses. OH: The two variables are independent.; H: The two variables are dependent. 0 0: The two variables are dependent. ; HA: The two variables are independent. b. Calculate the value of the test...
For a Chi-Squared Goodness of Fit Test about a distribution that has the following characteristics: Category 1: 20% Category 2: 30% Category 3: 10% Category 4: 15% Category 5: 25% complete the table and compute the test statistic. Round to the fourth as needed. Observed Expected Categories Frequency Frequency 48 Test Statistic =
Provide an appropriate response. The contingency table below shows the results of a random sample of 200 registered voters that was conducted to see whether their opinions on a bill are related to their party affiliation. Party Opinion Approve Disapprove No Opinion Republican 42 20 14 Democrat 50 24 18 Independent 10 16 6 2 Find the chi-square test statistic, xó, to test the claim of independence. 9.483 8.030 ö 11.765 7.662
1A) 1B) 1C) 1D) You are conducting a multinomial Goodness of Fit hypothesis test for the claim that the 4 categories occur with the following frequencies: H:PA = 0.1; P = 0.3; Pc = 0.1; Pp = 0.5 Complete the table. Report all answers accurate to three decimal places. Observed Expected Category Frequency Frequency А 17 B 43 с 12 D 48 What is the chi-square test-statistic for this data? x = What is the P-value? P-Value = For significance...
Come up with a 2 x 2 contingency table for which p^1=p^2 , and for which the row and column totals are not the same. Now calculate χ2*. Are you surprised? Why or why not?