Suppose you obtain a chi-square statistic of 67.81. Are your results statistically significant if the critical value obtained from the distribution of chi-square is 3.84 with an alpha level of .05?
Suppose you obtain a chi-square statistic of 67.81. Are your results statistically significant if the critical...
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 have conducted a Chi-Square test for Homogeneity. Below are your results. LaTeX: \chi^2=2.987 χ 2 = 2.987 LaTeX: \alpha\:=\:0.01\: α = 0.01 critical value = 5.991 What is your decision? Fail to reject Ho Reject Ho Not enough information
1) After doing so, find DF 2)using the df you determine previously, include your Chi-Square Critical value in this response 3) Indicate below (written in APA format) the outcome of the Chi-Square test you just performed. Given the following data, determine the Chi-Square obtained statistic: 8 8 4 Given the following data, determine the Chi-Square obtained statistic: 8 8 4
Fill in the blank You've conducted a two-way chi-square analysis that was statistically significant and resulted in a Cramer's Phi of .33, a medium overall effect size. Now you'd like to examine "where the action is," that is, which particular cells in the design deviate significantly from independence. To do so, the statistic you will calculate for each cell is called ____ , and is denoted by "R".
The Chi-Square Table (Chapter 17) The chi-square table: The degrees of freedom for a given test are listed in the column to the far left; the level of significance is listed in the top row to the right. These are the only two values you need to find the critical values for a chi-square test. Increasing k and a in the chi-square table Record the critical values for a chi-square test, given the following values for k at each level...
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 question correctly. The sample results...
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...
What is the critical value for a chi-square test with 28 degrees of freedom at the 5 percent level of significance (3 pts)? If the chi-square test statistic were 41.10, what would you conclude regarding the null hypothesis (4 pts)? What would you conclude if the chi-square value were 48.19
EOC 13.30 Homework Unanswered This question is based on the same scenario as EOC 13.28: Suppose that you are interested in whether anxiety level and problem-solving are related. You administer a standard measure of anxiety to 50 people and use the results to classify them as either "high" or"low' in anxiety. You also give each person the JUMBLE (a puzzle) from the daily paper and observe whether or not they solve it. Is anxiety level related to problem-solving ability? Your...
When using chi-square, statistically significant but very weak relationships between variables are likely to occur if: a. samples sizes are large. b. sample sizes are small. c. the independent variable contains many different value categories. d. the dependent variable contains many different value categories.