In: Statistics and Probability
A student counsellor is concerned about students’ stress levels. S/he wants to understand whether students in different courses have similar stress levels.
The following table shows a random sample of students in different courses and their stress levels (n= 178178). Use the table to answer the questions which follow.
Stress Levels by Enrolment |
|||
---|---|---|---|
Enrolment | Low | Normal | High |
Arts | 33 | 39 | 26 |
Science | 23 | 31 | 26 |
(1 mark) What proportion of the students in the study have normal stress level? (3dp) Answer
(1 mark) What proportion of the Science students have low stress level? (3dp) Answer
(1 mark) What proportion of the students have high stress levels were Arts students? (3dp) Answer
The student counsellor would like to answer the following research question: Do students in different courses experience different stress levels? S/he sets up the following null and alternative hypotheses to answer the research question.
?0:H0: There is no association between enrolled course and level of stress. ?1:H1: There is an association between enrolled course and level of stress.
(1 mark) What is the expected value for Arts students who have low stress levels? (3dp) Answer
The absolute value of the test statistic is equal to (type your answer with 3 dp) Answer
(1 mark) The degrees of freedom is equal to (type your answer as an integer) Answer
(1 mark) The p-value is smaller than 0.05 Answertruefalse
(1 mark) We decide that Answerp -p value is greater than 0.05, therefore we do not reject the null hypotesisp -p value is less than 0.05, therefore we reject the null hypotesis
(2 mark) Our conclusion is that Answer -There is no association between enrolled course and level of stress. -There is an association between enrolled course and level of stress.
We are 95% confident that proportion of students with normal stress level for Science is between Answer (lower limit) and Answer (upper limit). Type your answers with 3dp.
Let us first calculate row totals and column total s
Low | Normal | High | Total | |
Arts | 33 | 39 | 26 | 98 |
Science | 23 | 31 | 26 | 80 |
Total | 56 | 70 | 52 | 178 |
1) Proportion of students have Normal stress level = 70 /178 = 0.393
2) Proportion of science students have low stress level = 23/ 80 = 0.288
Note : There are 80 science students , we can see that out of 80 23 have low stress level.
3) Proportion of having High stress level who are Arts students = 26 / 52
Note : There are 52 students with high stress levels. Out of 52 , 26 are Arts students .
4) Expected value of arts students who have low stress level = row total *column total / grand total
= 98*56 / 178
= 30.831
5) Test statistic
where Oi : observed frequency
Ei : expected frequency
The contingency table ( of expected and observed frequency)
The expected frequencies are in the parenthesis
Low | Normal | High | Total | |
Arts | 33(30.831) | 39(38.539) | 26(28.629) | 98 |
Science | 23(25.169) | 31(31.461) | 26(23.371) | 80 |
Total | 56 | 70 | 52 | 178 |
Calculation of Chi square
Oi | Ei | (Oi-Ei)^2/Ei | |
33 | 30.381 | 0.2258 | |
39 | 38.539 | 0.0055 | |
26 | 28.629 | 0.2414 | |
23 | 25.169 | 0.1869 | |
31 | 31.461 | 0.0068 | |
26 | 23.371 | 0.2957 | |
sum | 0.9621 |
Thus
0.962
6) degrees of freedom = (3-1)*(2-1) = 2
Note : degrees of freedom = ( number of rows -1) *( number of columns-1)
7) P value for 0.962 with df = 2 is
P value = 0.618
Since P value > 0.05
Answer is : FALSE
Note : Excel formula for P value "=CHISQ.DIST.RT(0.962,2)"
8)We decide that
Answer : P value is greater than 0.05 , thererefore we do not reject the null hypothesis .
Our conlcusion is
Answer : there is no association between enrolled course and level of stress.
9) 95% confidence interval for population proportion is
where
31/ 80 = 0.3875 ( sample proportion of science students who have normal stress level )
For 95% confidence , zc = 1.96 ( from z table)
Thus , 95% confidence interval is
= (0.281 , 0.494 )
Answer We are 95% confident that the proportion of students with normal stress level for Science is between 0.281 and 0.494 .