Question

What are the range of values a chi square can take?What values of chi square should...

What are the range of values a chi square can take?What values of chi square should be expected when the null hypothesis is true?

What are the assumptions of a chi square test? Can the same people be counted in multiple categories? What is the minimum expected frequency for each cell?

If a chi square test is significant does that mean the effect is large?

Homework Answers

Answer #1

What are the range of values a chi square can take?

The range of chi square is from 0 to infinity.

What values of chi square should be expected when the null hypothesis is true?

The expected values of chi square when the null hypothesis is true should be smaller than the critical value which depends on degree of freedom.

What are the assumptions of a chi square test?

The assumptions of a chi square test are -

  • The sampling method is simple random sampling.
  • The variable under study is  categorical.
  • The expected value of the number of sample observations in each  level of the variable is at least 5.

Can the same people be counted in multiple categories?

Yes same people can be be counted in multiple categories

What is the minimum expected frequency for each cell?

The minimum expected frequency for each cell should be 5.

If a chi square test is significant does that mean the effect is large

Yes, effect size increases with increase in chi-square (significant chi-square)

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Identify each of the following statements as either true of false. a)     FalseTrueClick for List    If the...
Identify each of the following statements as either true of false. a)     FalseTrueClick for List    If the null hypothesis is false, then large differences between the observed and expected values may exist. b)     FalseTrueClick for List    In a one-way table, each observed value can fall into only one of the given classifications. c)     FalseTrueClick for List    To determine the expected frequency for each cell, we multiply the total number of observations by the probability of an observation being in that particular cell. d)    ...
PLEASE ANSWER ALL QUESTIONS ! 1. When performing a Chi-Square test, what is the critical value...
PLEASE ANSWER ALL QUESTIONS ! 1. When performing a Chi-Square test, what is the critical value between the accept and reject regions for a test with 5 classes and 25 observations at the 5% level of significance? Select one: a. 11.070 b. 2.87 c. 2.60 d. 9.488 2. True or False: A hypothesis is a statement about a population developed for the purpose of testing. Select one: True False 3. If you ACCEPT the null hypothesis while performing a Chi-Square...
Review the following output from a chi-square test, and answer the questions below. Chi-Square Test Frequencies:Preference...
Review the following output from a chi-square test, and answer the questions below. Chi-Square Test Frequencies:Preference Observed N Expected N Residual Nuts & Grits 9 20.0 -11.0 Bacon Surprise 27 20.0 7.0 Dimples 16 20.0 -4.0 Froggy 17 20.0 -3.0 Chocolate Delight 31 20.0 11.0 Total 100 Test Statistics Preference Chi-Square 15.800a df 4 Asymp. Sig. .003 a 0 cells (0.0%) have expected frequencies less than 5. The minimum expected cell frequency is 20.0. Answer the following questions about this...
A large value for the chi-square statistic indicates the sample data (observed values) do not match...
A large value for the chi-square statistic indicates the sample data (observed values) do not match the null hypothesis. there is a good fit between the sample data (observed values) and the null hypothesis.     the observed values from the sample data are consistently larger than the expected values. the observed values from the sample data are consistently smaller than the expected values.
You are conducting a multinomial Chi-Square Goodness of Fit hypothesis test for the claim that the...
You are conducting a multinomial Chi-Square Goodness of Fit hypothesis test for the claim that the 4 categories occur with the following frequencies: HoHo : pA=0.1; pB=0.5; pC=0.1;  pD=0.3 Complete the table. Report all answers accurate to three decimal places. Category Observed Frequency Expected Frequency A 17 B 25 C 6 D 16 What is the chi-square test-statistic for this data? χ2= What is the P-Value? P-Value =
Which of the following statements is true in the context of a chi-square goodness-of-fit test? Select...
Which of the following statements is true in the context of a chi-square goodness-of-fit test? Select one: a. The critical value will come from the standard normal table if the sample size exceeds 30. b. The degrees of freedom for determining the critical value will be the number of categories minus 1. c. A very large test statistic will result in the null not being rejected. d. The null hypothesis will be rejected for a small value of the test...
Which of the following statements is true in the context of a chi-square goodness-of-fit test? Select...
Which of the following statements is true in the context of a chi-square goodness-of-fit test? Select one: a. The degrees of freedom for determining the critical value will be the number of categories minus 1. b. A very large test statistic will result in the null not being rejected. c. The null hypothesis will be rejected for a small value of the test statistic. d. The critical value will come from the standard normal table if the sample size exceeds...
31. An obtained chi square of 9.53 was calculated and the critical chi square was 18.48....
31. An obtained chi square of 9.53 was calculated and the critical chi square was 18.48. What should be concluded from these results? a. The result is both statistically significant and important. b. The variables are independent. c. The null hypothesis must be rejected. d. The information is incomplete; nothing can be concluded.
Chi-Square Test for Independence Using Chi-Square, we are looking to see if there is a significant...
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...
A)What is the critical value for a chi-square test with 12 degrees of freedom at the...
A)What is the critical value for a chi-square test with 12 degrees of freedom at the 5 percent level of significance? B) If the chi-square test statistic were 18.549, what is your conclusion regarding the null hypothesis? C) What is your conclusion regarding the null hypothesis if the chi-square value were 22.10?