When we carry out a chi-square test of independence, the chi-square statistic is based on (rxc)-1 degrees of freedom, where r and c denote, respectively, the number of rows and columns in the contingency table. True or false
Solution :
False
When we carry out a chi-square test of independence, the chi-square statistic
is based on (r - 1) * (c - 1) degrees of freedom, where r and c denote, respectively,
the number of rows and columns in the contingency table .
When we carry out a chi-square test of independence, the chi-square statistic is based on (rxc)-1...
10.00 points When we carry out a chi-square test of independence, the alternate hypothesis states that the two relevant classifications O are mutually exclusive. O form a contingency table with rrows and c columns O have (1 - 1)(C-1) degrees of freedom are statistically dependent O O are normally distributed
When Chi-square distribution is used as a test of independence, the number of degrees of freedom is related to both the number of rows and the number of columns in the contingency table. Select one: True False Question 2 Answer saved Points out of 1.000 Flag question Question text A goodness of fit test can be used to determine if membership in categories of one variable is different as a function of membership in the categories of a second variable...
The chi-square goodness of fit test can be used when: Select one: a. We conduct a multinomial experiment. b. We perform a hypothesis test to determine if a population has a normal distribution. c. We perform a hypothesis test to determine if two population variances significantly differ from each other. d. We conduct a binomial experiment. The x statistic from a contingency table with 6 rows and five columns will have Select one: a. 24 degrees of freedom b. 50...
When we carry out a chi- square goodness-of-fit test for a normal distribution, the null hypothesis states that the population Does not have a normal distribution Has a normal distribution Has a chi-square distribution Does not have a chi-square distribution Has k-3 degrees of freedom
When we carry out a chi-square goodness-of-fit test for a normal distribution, the null hypothesis states that the population: a) does not have a normal distribution. b) has a normal distribution. c) has a chi-square distribution. d) does not have a chi-square distribution. e) has k − 3 degrees of freedom.
You observe 100 randomly selected college students to find out whether they arrive on time or late for their classes. The table below gives a two-way classification for these students.GenderOn TimeLateFemale359Male4313For a chi-square test of independence for this contingency table, what is the number of degrees of freedom?
When performing a chi squaredχ2 test for independence in a contingency table with r rows and c columns, determine the upper-tail critical value of the test statistic in each of the following circumstances. b. alpha = 0.01, r = 5, c = 3 c. alpha = 0.01, r = 5, c = 4 d. alpha = 0.01, r = 3, c = 4 e. alpha = 0.01, r = 4, c = 5 QUESTION: what are the critical values for...
Does the data meet the conditions for the chi-square test? StatCrunch Instructions: Test of Independence Using Technology Next we will use StatCrunch to calculate the expected counts: Enter Yes and No in column var1. Enter the observed counts as they appear in the table above (not including the totals) into columns var2 and var3. Rename: var1 as "911", var2 as "No Risk" and var3 as "M to S Risk" Choose Stat -> Tables -> Contingency -> with summary Select the...
For a chi-square test of independence, we calculate the degrees of freedom using which formula? A. ??=???? × ??????? B. ??=???? + ??????? C. ??=(????−1)×(???????−1) D. ??=(????−1)+(???????−1)
a …… table has data arranged for the chi square independence test a) chi square b) contingency c) t d) z