In: Statistics and Probability
1. A researcher would like to know whether there is a consistent, predictable relationship between verbal skills and math skills for high school students. A sample of 200 students is obtained, and each student is given a standardized verbal test and a standardized math test. Based on the test results, students are classified as high or low for verbal skills and for math skills. The results are summarized in the following frequency distribution:
Verbal Skills
High Low
Math skills | High Math |
fo = 59 fe = _____ |
fo = 41 fe = ______- |
Row total = _________ |
Low Math |
fo = 31 fe = _____ |
fo = 69 fe = ______ |
Row total = ______ | |
Column total =_______ | Column total =_______ | Total n = ______ |
Test at the .05 level of significance whether there is a significant relationship between verbal skills and math skills.
df = __________
Χ2 = ________
CV = _________
Is there a significant relationship between verbal skills and math skills? a. YES b. NO
Choose the best report:
a. There is a consistent predictable relationship between verbal skills and math skills for high school students, n = 200, df 1 X2 = 15.84.
b. There is a significant difference between verbal skills and math skills; X2 (2, n=200) = 15.84, p < .05.
c. There is a significant relationship between verbal and math skills X2 (1, n=200) = 15.84, p < .05.
d. We retain the null, that there is no relationship between verbal skill and math skills for high school students. The X2= 0.5 with a CV (1) = 3.841. There is no effect because we retained the null. But if you were to calculate it, it would be = 0.05.
e. While running a basic analysis test, it was found that there is significant relationship skills between verbal skills and math skills. With a X2 = 17.68 and utilizing 1 df, the cv = 3.841.
Chi-Square Test of independence | |||||||
Observed Frequencies | |||||||
0 | |||||||
0 | H | L | Total | ||||
H | 59 | 41 | 100 | ||||
L | 31 | 69 | 100 | ||||
Total | 90 | 110 | 200 | ||||
Expected frequency of a cell = sum of row*sum of column / total sum | |||||||
Expected Frequencies | |||||||
H | L | Total | |||||
H | 90*100/200=45 | 110*100/200=55 | 100 | ||||
L | 90*100/200=45 | 110*100/200=55 | 100 | ||||
Total | 90 | 110 | 200 | ||||
(fo-fe)^2/fe | |||||||
H | 4.3556 | 3.5636 | |||||
L | 4.3556 | 3.5636 |
Chi-Square Test Statistic,χ² = Σ(fo-fe)^2/fe
= 15.838
Level of Significance = 0.05
Number of Rows = 2
Number of Columns = 2
Degrees of Freedom=(#row - 1)(#column -1) = (2- 1 ) * ( 2-
1 ) = 1
CV Critical Value = 3.841
[ Excel function: =CHISQ.INV.RT(α,DF) ]
Decision: test stat,X² > critical value , So, Reject the null
hypothesis
Is there a significant relationship between verbal skills and math skills? a. YES
c. There is a significant relationship between verbal and math skills X2 (1, n=200) = 15.84, p < .05.