In: Statistics and Probability
Answers to Multiple-Choice Problems: A student wants to see if the correct answers to multiple choice problems are evenly distributed. She heard a rumor that if you don't know the answer, you should always pick C. In a sample of 100 multiple-choice questions from prior tests and quizzes, the distribution of correct answers are given in the table below. In all of these questions, there were four options {A, B, C, D}.
Correct Answers (n = 100)
A | B | C | D | |
Count | 22 | 25 | 30 | 23 |
The Test: Test the claim that correct answers for all multiple-choice questions are not evenly distributed. Test this claim at the 0.05 significance level.
(a) The table below is used to calculate the test statistic.
Complete the missing cells.
Round your answers to the same number of decimal places as
other entries for that column.
Correct | Observed | Assumed | Expected | ||||
i | Answer | Frequency (Oi) | Probability (pi) | Frequency (Ei) |
|
||
1 | A | (?) | 0.25 | 25.0 | 0.360 | ||
2 | B | 25 | (?) | 25.0 | 0.000 | ||
3 | C | 30 | 0.25 | (?) | 1.000 | ||
4 | D | 23 | 0.25 | 25.0 | (?) | ||
Σ | n = 100 | χ2 =(?) | |||||
(b) What is the value for the degrees of freedom?
(c) What is the critical value of
χ2? Use the answer found in
the χ2-table or round to 3
decimal places.
tα =
(d) What is the conclusion regarding the null hypothesis?
reject H0
fail to reject
H0
(e) Choose the appropriate concluding statement.
We have proven that correct answers for all multiple-choice questions are evenly distributed.
The data supports the claim that correct answers for all multiple-choice questions are not evenly distributed.
There is not enough data to support the claim that correct answers for all multiple-choice questions are not evenly distributed.
Solution:
the distribution of correct answers are given in the table below.
A | B | C | D | |
Count | 22 | 25 | 30 | 23 |
The Test: Test the claim that correct answers for all multiple-choice questions are not evenly distributed. Test this claim at the 0.05 significance level.
Part a) The table below is used to calculate the test statistic. Complete the missing cells.
Correct | Observed | Assumed | Expected | ||||
i | Answer | Frequency (Oi) | Probability (pi) | Frequency (Ei) |
|
||
1 | A | (?) | 0.25 | 25.0 | 0.360 | ||
2 | B | 25 | (?) | 25.0 | 0.000 | ||
3 | C | 30 | 0.25 | (?) | 1.000 | ||
4 | D | 23 | 0.25 | 25.0 | (?) | ||
Σ | n = 100 | χ2 =(?) |
From given table of the distribution of correct answers , Observed frequency for A is 22
Thus first blank cell is 22
Second blank is Probability and we assume all frequencies are equally distributed
thus P(B) =1/4 = 0.25
Thus second blank = 0.25
Third blank is for Expected count = 100 X P(C) = 100 X 0.25 = 25.0
Fourth blank is for contribution of D in chi-square test statistic and is given by:
Thus fourth blank = 0.16
Fifth blank is total of last column = 0.360+0.000+1.000 + 0.160 = 1.520
Correct | Observed | Assumed | Expected | ||||
i | Answer | Frequency (Oi) | Probability (pi) | Frequency (Ei) |
|
||
1 | A | 22 | 0.25 | 25.0 | 0.360 | ||
2 | B | 25 | 0.25 | 25.0 | 0.000 | ||
3 | C | 30 | 0.25 | 25.0 | 1.000 | ||
4 | D | 23 | 0.25 | 25.0 | 0.160 | ||
Σ | n = 100 | χ2 =1.520 |
Part b) What is the value for the degrees of freedom?
df = k - 1 = 4 - 1 = 3
Part c) What is the critical value of χ2?
df= 3 and level of significance = 0.05
Using Chi-square critical value table we get:
critical value of χ2= 7.815
Part d) What is the conclusion regarding the null hypothesis?
Since χ2 =1.520 < critical value of χ2= 7.815 , we fail to reject H0.
Part e) Choose the appropriate concluding statement.
There is not enough data to support the claim that correct answers for all multiple-choice questions are not evenly distributed.