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.
Gender | On Time | Late |
---|---|---|
Female | 35 | 9 |
Male | 43 | 13 |
For a chi-square test of independence for this contingency table, what is the number of degrees of freedom?
Degrees of freedom = (no of rows - 1) * (no of cols - 1) = (2 - 1) * (2 - 1) = 1 (ans)
For a chi-square test of independence for this contingency table, what is the number of degrees of freedom?
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 TimeLateFemale359Male4313To perform a chi-square test of independence for this contingency table at the 196 significance level, what is the critical value of chisquare?7.8796.63510.5979.210
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...
please answer all Performing a Chi-Square Independence Test The contingency table shows the results of a random sample of 2200 adults classified by their favorite way to eat ice cream and gender. The expected frequencies are displayed in parentheses. At a = 0.01, can you conclude that the adults' favorite ways to eat ice cream are related to gender? Favorite way to eat ice cream Gender Cup Cone Sundae Sandwich Other Male 600 288 204 24 84 Female 410 340...
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
For a chi-square test of independence, we calculate the degrees of freedom using which formula? A. ??=???? × ??????? B. ??=???? + ??????? C. ??=(????−1)×(???????−1) D. ??=(????−1)+(???????−1)
a …… table has data arranged for the chi square independence test a) chi square b) contingency c) t d) z
-A chi-square test for goodness-of-fit has a sample size of 50. What are the degrees of freedom for this chi square? A. 25 B. The degrees of freedom cannot be determined from the information provided. C. 50 D. 49 -Rodney wants to test the relationship between college graduation rank and annual income. If income is measured on a ratio scale, the appropriate relationship test for Rodney to use is the: A. chi square test of independence B. independent-samples t test...
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...
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...
The contingency table shows the results of a random sample of former smokers by the number of times they tried to quit smoking before they were habit-free and gender. At a = 0.10, can you conclude that the number of times they tried to quit before they were habit-free is related to gender Perform the indicated chi-square independence test by completing parts (a) through (e) below. Number of times tried to quit before habit-free Gender 2-3 4 or more 272...