In: Statistics and Probability
The following table shows the Myers-Briggs personality preferences for a random sample of 406 people in the listed professions. E refers to extroverted and I refers to introverted.
Personality Type | |||
Occupation | E | I | Row Total |
Clergy (all denominations) | 66 | 41 | 107 |
M.D. | 66 | 96 | 162 |
Lawyer | 61 | 76 | 137 |
Column Total | 193 | 213 | 406 |
Use the chi-square test to determine if the listed occupations and personality preferences are independent at the 0.05 level of significance.
(a) What is the level of significance?
State the null and alternate hypotheses.
H0: Myers-Briggs preference and profession
are not independent
H1: Myers-Briggs preference and profession are
not independent.
H0: Myers-Briggs preference and profession
are independent
H1: Myers-Briggs preference and profession are
independent.
H0: Myers-Briggs preference and profession
are independent
H1: Myers-Briggs preference and profession are
not independent.
H0: Myers-Briggs preference and profession
are not independent
H1: Myers-Briggs preference and profession are
independent.
(b) Find the value of the chi-square statistic for the sample.
(Round the expected frequencies to at least three decimal places.
Round the test statistic to three decimal places.)
Are all the expected frequencies greater than 5?
Yes
No
What sampling distribution will you use?
chi-square
normal
uniform
binomial
Student's t
What are the degrees of freedom?
(c) Find or estimate the P-value of the sample test
statistic. (Round your answer to three decimal places.)
(d) Based on your answers in parts (a) to (c), will you reject or
fail to reject the null hypothesis of independence?
Since the P-value > α, we fail to reject the null hypothesis.
Since the P-value > α, we reject the null hypothesis.
Since the P-value ≤ α, we reject the null hypothesis.
Since the P-value ≤ α, we fail to reject the null hypothesis.
(e) Interpret your conclusion in the context of the
application.
At the 5% level of significance, there is insufficient evidence to conclude that Myers-Briggs preference and the profession are not independent.
At the 5% level of significance, there is sufficient evidence to conclude that Myers-Briggs preference and the profession are not independent.
a)
level of significance =0.05
H0: Myers-Briggs preference and profession
are independent
H1: Myers-Briggs preference and profession are
not independent.
b)
Applying chi square test of independence: |
Expected | Ei=row total*column total/grand total | E | I | Total |
Clergy | 50.865 | 56.135 | 107 | |
MD | 77.010 | 84.990 | 162 | |
Lawyer | 65.126 | 71.874 | 137 | |
total | 193 | 213 | 406 | |
chi square χ2 | =(Oi-Ei)2/Ei | E | I | Total |
Clergy | 4.504 | 4.081 | 8.5847 | |
MD | 1.574 | 1.426 | 3.0003 | |
Lawyer | 0.261 | 0.237 | 0.4982 | |
total | 6.3392 | 5.7439 | 12.0831 | |
test statistic X2= | 12.083 |
Are all the expected frequencies greater than 5? :Yes | |
What sampling distribution will you use? chi-square | |
degrees of freedom =(row-1)*(column-1)=2 |
c)
p value = | 0.002 | from excel: chidist(12.0831,2) |
d)
Since the P-value ≤ α, we reject the null hypothesis.
e) At the 5% level of significance, there is sufficient evidence to conclude that Myers-Briggs preference and the profession are not independent.