A survey of 13,234 students in a country who enrolled in private career colleges was conducted to understand student participation in the private postsecondary educational system. In one part of the survey, students were asked about their field of study and about when they entered college. Here are the results.
Field of Study |
Number of Students |
Time of Entry | ||
---|---|---|---|---|
Right After High School | Later | |||
Trades | 992 | 34% | 66% | |
Design | 564 | 47% | 53% | |
Health | 5035 | 40% | 60% | |
Media/IT | 3118 | 31% | 69% | |
Service | 1310 | 36% | 64% | |
Other | 2215 | 52% | 48% |
In this table, the second column gives the number of students in each field of study. The next two columns give the marginal distribution of time of entry for each field of study.
(a) Use the data provided to make the 6 ✕ 2 table of counts for this problem.
Time of Entry | ||||
---|---|---|---|---|
Field of Study | Right After High School | Later | ||
Trades | ||||
Design | ||||
Health | ||||
Media/IT | ||||
Service | ||||
Other |
(b) Analyze the data. (Round your numerical answers to one decimal
place.)
The most popular field of study is ---Select--- Trades Design Health Media/IT Service Other with % of these students. The least popular field of study is ---Select--- Trades Design Health Media/IT Service Other with % of these students. Overall % of these students enrolled right after high school.
(c) Write a summary of your conclusions. Be sure to include the
results of your significance testing. (Use α =
0.01.)
State the null and alternative hypotheses.
Null Hypothesis:
H0: There is an association between field of study and number of students.
H0: There is an association between field of study and when students enter college.
H0: There is an association between when students enter college and number of students.
H0: There is not an association between field of study and number of students.
H0: There is not an association between field of study and when students enter college.
Alternative Hypothesis:
Ha: There is an association between field of study and number of students.
Ha: There is an association between field of study and when students enter college.
Ha: There is an association between when students enter college and number of students.
Ha: There is not an association between field of study and number of students.
Ha: There is not an association between field of study and when students enter college.
State the χ2 statistic, degrees of freedom, and
the P-value. (Round your answer for χ2
to one decimal place and your P-value to four decimal
places.)
χ2 | = | |
df | = | |
P-value | = |
Conclusion:
We have sufficient evidence to conclude that there is an association between field of study and number of students.
We have sufficient evidence to conclude that there is an association between field of study and when students enter college.
We have sufficient evidence to conclude that there is an association between when students enter college and number of students.
We do not have sufficient evidence to conclude that there is an association between field of study and number of students.
We do not have sufficient evidence to conclude that there is an association between field of study and when students enter college.
a)
Oi | right after | later |
Trades | 337 | 655 |
Design | 265 | 299 |
Health | 2014 | 3021 |
Media/IT | 967 | 2151 |
Service | 472 | 838 |
Other | 1152 | 1063 |
b)
The most popular field of study is Health r with 38.0% of these students. The least popular field of study is Design
with 4.3 % of these students. Overall 39.3 % of these students enrolled right after high school.
c)
H0: There is not an association between field of study and when students enter college.
Ha: There is an association between field of study and when students enter college.
X2 =272.410
df=5
p value =0.0000
We have sufficient evidence to conclude that there is an association between field of study and when students enter college.
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