Explain the difference between observed frequency and expected frequency as it relates to Chi-Square test.
Why will the chi square value be large when the difference between observed and expected is large?
5 - Chi-Square Test for Homogeneity LEARNING OBJECTIVE: Calculate the expected frequency for a a chi-square test. A table represents the possibility of an association between hair color and eye color. In order to determine if the eye color of blue and blonde hair colors differ significantly, a chi-square test for homogeneity should be performed. What is the expected frequency of Blonde Hair and Blue Eyes? Answer choices are rounded to the nearest hundredth. a.) 25.50 b.) 27.67 O c.) 28.41 O d.) 27.25
Question 42 Chi square is zero when: Expected frequency is greater than the observed frequency O Expected frequency is equal to the observed frequency Expected frequency is the square of the observed frequency Expected frequency is less than the observed frequency A Moving to another question will save this response.
In performing a chi-square test of independence, as the differences between respective observed and expected frequencies _________, the probability of concluding that the row variable is independent of the column variable increases. A. stay the same B. decrease C. increase D. double
Consider the observed frequency distribution for the set of random variables. a. Perform a chi-square test using alpha=0.05 to determine if the observed frequencies follow the binomial probability distribution when p=0.50 and n=4. b. Determine the p-value and interpret its meaning. Random Variable, X Frequency, Fo 0 29 1 96 2 151 3 96 4 28 Total 400 The chi-square test statistic is chi squared, χ2=______ p-value=______
When using a chi-square test of a contingency table, if the expected frequency is not 30 or larger you should not do the test. True False
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...
In a chi-square test, what would it mean if the P-value were less than 5%? a. That there is no real difference between observed and expected values. b. That there is a difference between observed and expected values. c. That any difference between observed and expected values is probably not due to random chance. d. a and c are true e. b and c are true
A chi-square test should not be used if any expected frequency is less than five. True False
Chi square is used with nominal data, determine whether or not a significant difference exists between the observed number and expected number of cases falling into each category. True/ False