A) If we have a contingency table with two categorical variables we would need to use ___________________________________ to measure the association between the two variables
a)Chi-Square test
b) t-test
c) ANOVA
d) Correlation
| Some High School Education |
High School Degree or More |
Total |
|
| Salary > $45,000 | 4 | 27 | 31 |
| Salary < $45,000 | 36 | 19 | 55 |
| Total | 40 | 46 | 86 |
B) Using the table above, find the joint proportion of having a salary greater than $45,000 and a High School Degree or More.
a) 27/46 = 58.7%
b) 27/31 = 87.1%
c) 46/86 = 53.4%
d) 27/86 = 31.4%
C) Using the same table as before, find the conditional proportion of having Some High School Education given they have a salary less than $45,000
a) 36/40 = 90.0%
b) 36/55 = 65.5%
c) 19/36 = 52.8%
d) 36/86 = 41.8%
D) True or False: a chi-square test of independence is appropriate for this data based on the assumptions for this test.
a) True
b) False
E) True or False: a large chi-square test statistic indicates the strength of the association between two categorical variables.
a) True
b) False
A) a) chi-square test
B) d) 27/86=31.4%
C) b) 36/55=65.5%
D) a) True
E) b) False


A) If we have a contingency table with two categorical variables we would need to use...
(1 point) Recall in the course we learnt how to display data of two categorical variables by means of a contingency table. In this question, we will formulate a measure to quantify the level of association between the two categorical variables. Such a measure is often used in a statistical test called Chi-square test for assessing whether there is an association between two categorical variables. This question is also used to motivate the learning of independence and to connect the...
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One True Love by Educational Level A study is conducted in which people were asked whether they agreed or disagreed with the statement that there is only one true love for each person. The table below gives a two-way table showing the answers to this question as well as the education level of the respondents. A person's education is categorized as HS (high school degree or less), Some (some college), or College (college graduate or higher). Is the level of...
The
table contains observed values and expected values in parentheses
for two categorical variables, X and Y, where variable X has three
categories and variable Y has two categories use the table to
complete parts (a) and (b)
(B) What is the P-Value?
ree 34 45 52 34.89) 46.99)K49.13) 15 21 17 14.11) 19.01) 19.88) 2 ах (a) Compute the value of the chi-square test statistic. Round to three decimal places as needed.) Enter your answer in the answer box...
(2 points) In this question, we will formulate a measure to quantify the level of association between the two categorical variables. Such a measure is often used in a statistical test called Chi-square test for assessing whether there is an association between two categorical variables. This question is also used to motivate the learning of independence and to connect the concept back to what we have learnt in the course. Let's revisit the example we have looked at in the...
4 of 21 The two-way table below gives the chi-square components for the appropriate test on these data Facebook account? Education Level Yes 0 1.92 1.35 High school or less 3.92 2.77 0.09 Some college College degree or more 0.05 Based on this information, which of the following statements are valid? The observed counts for the "College degree or more" row are farther from their corresponding expected counts than the observed counts for "High School or less" and "Some college."...
Suppose that we want to investigate whether curfews correlate with differences in grades for students in middle school. We select a random sample of 81 middle school students. The variables are curfew (yes/no) and grade (a letter grade that represents the average grade across courses). Is there an association between grade and curfew? Or are these two variables independent? We use the data to conduct a chi-square test of independence at the 5% level. In the table, the observed count...
Education levels between male and female diabetes patients in a healthcare center are compared using the chi-squared test and the result is shown in the following table, with n represent the number of participants for each group. The significant level is set at alph=0.05. Which of the following statement interpret the Chi-squared test result correctly? Select one between A, B, C, D Education distribution in the control is not significantly different from that in the intervention group The number of...