True
Expected frequencies should be > 5
If more than 20% of expected frequencies have a values less than 5 then chi square test should not be used.
A chi-square test should not be used if any expected frequency is less than five. True...
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
True or false: regarding the chi-square test, the expected counts represent the frequency we would expect to see in each cell under the assumption that the null hypothesis is true.
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 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
Under which circumstances are chi-square tests biased? ___ if any expected value is less than 1.0 or > 25% of the expected values are less than 5.0 small sample size when there is 1 degree of freedom all of the above
For a chi-square test of a contingency table, the expected frequency for each cell is calculated assuming the two qualitative variables are independent of one another. True False Question 14 1 pts We draw a random sample of size 25 from a normal population with variance 2.2. If the sample mean is 18.5, what is a 90% lower limit confidence interval for the population mean?
Explain the difference between observed frequency and expected frequency as it relates to Chi-Square test.
Skewness and kurtosis should not be tested when using the chi-square test of independence. True or False The major difference between the Mann-Whitney U-test and the Kruskal-Wallis H test is the number of independent variables. True or False
2 PLS Assumptions for the chi-square goodness-of-fit test are 1) the data are obtained from a random sample; and 2) the expected frequency for each category must be 5 or more. O True False