What is the idea behind the chi-square test for independence? Select one:
a. to compare the quantile-quantile (Q-Q) plot with what would be expected under independence
b. to compare the actual counts in a contingency table with what would be expected under independence
c. to compare the cumulative distribution with what would be expected under independence
d. none of these choices
Answer of this question is B Options
To compare the actual counts in a contingency table with what would be expected under independence.
What is the idea behind the chi-square test for independence? Select one: a. to compare the...
a …… table has data arranged for the chi square independence test a) chi square b) contingency c) t d) z
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...
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...
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
What conditions must be met to apply a chi-square test for independence on the Friendship Gender data set? O Observed counts are from appropriately selected random samples and the difference between observed and expected counts is approximately normally distributed. Observed counts are from appropriately selected random samples and the sample size is at least 30 for application of the central limit theorem. Observed counts are from i appropriately selected random samples and the population distribution is normally distributed Observed counts...
Chi-Square Test for Independence Using Chi-Square, we are looking to see if there is a significant difference between what we would expect results to be, and what the actual results were. That is, expected vs. observed. Use alpha = .05 Listed below are data from a survey conducted recently where Males and Females responded to their happiness with their supervisor (this is fictitious data). Response Male Female Total Not at all 23 25 48 Somewhat 13 22 35 Very 26 16 42...
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?
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...
this is the table given Perform a chi-square independence test using the critical value approach, provided the conditions for using the test are met. Be sure to state the hypotheses and the significance level, to obtain the expected frequencies, to obtain the critical value, to compute the value of the test statistic, and to state your conclusion. 160 students who were majoring in either math or English were asked a test question, and the researcher recorded whether they answered the...
Which step should be taken next if the null hypothesis is rejected in a chi-square test? OA. O B. Create confidence intervals to estimate the differences. Examine the standardized residuals to understand the pattern C. Check that the conditions are satisfied. D. Plot the data on a chart to understand the pattern. Which of the following is NOT one of the tests discussed in Chapter 16? A Chi-square test for independence B. Chi-square goodness-of-fit test OC. CH-square test for contingency...