A chi-squared test statistic in a test of a contingency table that is equal to zero...
A chi-squared test statistic in a test of a contingency table that is equal to zero means:
The two nominal variables are independent.
The two nominal variables are equal.
The two nominal variables have the same proportions listed in H0.
All of these choices.
Homework Answers
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A chi-squared test statistic in a test of a contingency table
that is equal to zero...
Which of the following null hypotheses cannot be tested with a chi-squared test? O Ho: the...
Which of the following null hypotheses cannot be tested with a chi-squared test? O Ho: the two variables defining the contingency table are independent. O Ho: the population distribution is a normal distribution O Ho: the true category proportions are the same for all of the population ( Ho: the true population means are the same for all of the populations
The variables considered in a chi-squared test used to evaluate a contingency table A. have small...
The variables considered in a chi-squared test used to evaluate a contingency table A. have small standard deviations. B. can be averaged. C. are normally distributed. D. have rounding errors. E. are categorical.
Determine (a) the chi squared χ2 test statistic, (b) the degrees of freedom, (c) the critical...
Determine (a) the chi squared χ2 test statistic, (b) the degrees of freedom, (c) the critical value using α=0.05, and (d) test the hypothesis at the α=0.05 level of significance. H0: pA = pB = pC = pD = 1/4th H1: At least one of the proportions is different from the others. (a) The test statistic is __?__ . (Type an exact answer.)
Q1: Match the statement to the correct choice. Number of degrees of freedom in the chi-squared...
Q1: Match the statement to the correct choice. Number of degrees of freedom in the chi-squared test of independence in a 4 x 2 table. (a) 0 (b) 3 (c) 7 (d) 8 Q2: Determine if the following statement is true or false. If you believe that the statement is false, briefly explain why you think it is false. The chi-squared test of independence only detects linear association between variables in a contingency table. A: The statement is true....
Perform Chi-squared test of independence. The significance level alpha is 5%. Columns: category 1 Rows: categoty...
Perform Chi-squared test of independence. The significance level alpha is 5%. Columns: category 1 Rows: categoty 2 Contingency table 67 26 16 128 63 46 DF= Ch-square, round to three decimal places= p-value, round to three decimal places= Conclusions: based on the results, do you think the these two variables are dependent or independent? Enter the correct answer using the following options: (type the corresponding capital letter, do not type the "dot" at the end) Not independent at 5% significance level....
CH12 Q4 Given the following contingency table, conduct a test for independence at the 1% significance...
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...
Calculate the test statistic. Chapter 12. Chi-Square Test Saved Help Save & Exit Su Check my...
Calculate the test
statistic.
Chapter 12. Chi-Square Test Saved Help Save & Exit Su Check my w Given the following contingency table, conduct a test for Independence at the 5% significance level. (You may find It useful to reference the appropriate table: chi-square table or F table) Variable A points Variable B 36 35 31 51 eBook a. Choose the null and alternative hypotheses. Hint Ho: The two variables are independent.; HA: The two variables are dependent. O Ho: The...
A 3x3 contingency table produced a chi-squared = 6.5. In evaluating the relationship between the variables...
A 3x3 contingency table produced a chi-squared = 6.5. In evaluating the relationship between the variables in the table at the .05 level of significance, the conclusion should be ________. A. accept the null hypothesis B. reject the null hypothesis C. the magic number is 3.84 D. alpha = level of significance =1.96 E. alpha = level of significance = .10
The effect size measure for a large chi square contingency table analysis is? A. Eta squared...
The effect size measure for a large chi square contingency table analysis is? A. Eta squared B. Cohen’s D C. Cramer’s V D. All of these are appropriate
The effect size measure for a 2x2 chi square contingency table analysis is Eta squared Cohen’s...
The effect size measure for a 2x2 chi square contingency table analysis is Eta squared Cohen’s D Phi All of these are appropriate
Which of the following null hypotheses cannot be tested with a chi-squared test? O Ho: the two variables defining the contingency table are independent. O Ho: the population distribution is a normal distribution O Ho: the true category proportions are the same for all of the population ( Ho: the true population means are the same for all of the populations
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...
Calculate the test
statistic.
Chapter 12. Chi-Square Test Saved Help Save & Exit Su Check my w Given the following contingency table, conduct a test for Independence at the 5% significance level. (You may find It useful to reference the appropriate table: chi-square table or F table) Variable A points Variable B 36 35 31 51 eBook a. Choose the null and alternative hypotheses. Hint Ho: The two variables are independent.; HA: The two variables are dependent. O Ho: The...
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