Chi square test - statistics

1. As an alternative to flextime, many companies allow employees to do some of their
work at home. Individuals in a random sample of 300 workers were classified
according to salary and number of workdays per week spent at home. The results of
are given in the table. Is there sufficient evidence to indicate that family income and
work-at-home status are independent? Use 5% level of significance level.
Workdays at Home per Week
Less than 1 hour At least one, but not all All at home Total
Under 25 38 16 14 68
25 to 49.999 54 26 12 92
50 to 74.999 35 22 9 66
75 33 29 12 74
Total 160 93 47 300
-H0: The two classifications are?
-H1: The two classifications are?
-Degree of Freedom?
-Test Statistics?
-x2=
-Critical Value=
Therefore, we can conclude that income and work-at-home status are _____________classifications.

2. An educational testing service, in developing a standardized test, would like the test
to have a standard deviation of at least 10. The present form of the test has produced
a standard deviation of s = 8.9 based on n = 30 test scores. Should the present form
of the test be revised based on these sample data? What p-value would you report?

-H0:σ 2 ≥
-H1: σ 2 ≥
-Test Statistic=
-x2=
-Critical value is ?
-Therefore, we _____________ reject the null hypothesis.

3. A quick technique for determining the concentration of a chemical solution has been
proposed to replace the standard technique, which takes much longer. In testing a
standardized solution, 30 determinations using the new technique produced a standard
deviation of s = 7.3 parts per million.

a. Does it appear that the new technique is less sensitive (has larger variability) than
the standard technique whose standard deviation is s = 5 parts per million?

b. Estimate the true standard deviation for the new technique with a 95% confidence
interval.
Solution:
-H0: σ ≤5
-H1: σ ≤5
- Test statistic
-X2=
Critical value=
-Thus, we ____________ reject the null hypothesis
-__________ <
-σ <

4. Fifty fifth-grade students from each of four city schools were given a standardized
fifth-grade reading test. After grading, each student was rated as satisfactory or not
satisfactory in reading ability, with the following results:
School
1 2 3 4
Not satisfactory 7 10 13 6

Is there sufficient evidence to indicate that the percentage of fifth-grade students with
an unsatisfactory reading ability varies from school to school? Use 1% level of
significance level.
-H0: p1=p2=p3=p4=p
-H1
-At least one proportion differs from at least one another. Test statistic?
-Degree of freedom=
-Therefore, we _____________ reject the null hypothesis that reading ability for the fifth grades as measured by the test does not vary from school to school.

5. An experiment to explore the pain thresholds to electrical shock for males and
females resulted in the following data summary:
Males Females
n 10 13
x 15.1 12.6
s2 11.3 26.9
Do these data supply sufficient evidence to indicate a significant difference in
variability of thresholds for these two groups at the 10% level of significance? What
p-value would you report?
-H0:n 10 13
x 15.1 12.6
s 2 11.3 26.9
Do these data supply sufficient evidence to indicate a significant difference in
variability of thresholds for these two groups at the 10% level of significance?
-H0: σ21= σ22
-H1:σ21 ≠ σ22
-Where population 1 is the population of thresholds for females.
Test statistics: F=____________
-Critical Value is _____________
-Therefore, we _____________ reject the null hypothesis and we ______________conclude that the two groups exhibit the same basic variation.

7. A company specializing in kitchen products offers a refrigerator in five different
models. A random sample of n = 250 sales has produced the following data:

Model 1 2 3 4 5
Number sold 62 48 56 39 45

Test the hypothesis that there is no model preference at the a = .05 level of
significance.

-H0:p1=p2=p3=p4=p5=
-H1
At least one of these equalities is incorrect.
-Degree of freedom=
-Test Statistic=
-Critical value-=
-Therefore, we ______________reject the null hypothesis.

8. On the basis of the following data, is there a significant relationship between levels of
income and political party affiliation at the a = .05 level of significance?
Party Affiliation
Income

Low Average High
Republican 33 85 27
Democrat 19 71 56
Other 22 25 13