Chi-square Goodness of Fit
In may 2002 the AP statistics exam was administered to a total of 48,790 students. The national grades and CLHS students grades are listed below.
National Scores
Score (5) (4) (3) (2) (1)
Percent (11.1) (21.6) (23.9) (19.2) (24.2)
CLHS Student Scores
Score (5) (4) (3) (2) (1)
Students (16) (21) (11) (2) (0)
Is the distribution of scores for CLHS students significantly different from national scores?
Ho: distribution of scores for CLHS students is not different from national scores
H1: distribution of scores for CLHS students is significantly different from national scores
Chi square test for Goodness of fit
expected frequncy,E = expected proportions*total frequency
| category | observed frequencey, O | expected proportion | expected frequency,E | (O-E)²/E | ||
| 5 | 16 | 0.111 | 5.55 | 19.676 | ||
| 4 | 21 | 0.216 | 10.8 | 9.633 | ||
| 3 | 11 | 0.239 | 11.95 | 0.076 | ||
| 2 | 2 | 0.192 | 9.6 | 6.017 | ||
| 1 | 0 | 0.242 | 12.1 | 12.100 |
| total frequency | (O-E)²/E | |
| total sum ,Σ | 50 | 47.502 |
level of significance, α= 0.05
Degree of freedom=k-1= 5 -
1 4
chi square test statistic,X² = Σ(O-E)²/E =
47.502
P value = 0.0000 [ excel function: =chisq.dist.rt(test-stat,df)
]
since, p value < α, reject Ho,
hence, distribution of scores for CLHS students is significantly different from national scores at α=0.05
Chi-square Goodness of Fit In may 2002 the AP statistics exam was administered to a total of 48,790 students. The national grades and CLHS students grades are listed below. National Scores Score (5) (...
the
data below are the final exam scores of 10 randomly selected
statistics students and the number of hours they studied for the
exam. What is the best predicted value for the exam score for a
student who stuided 2 hours? Assume that the varibles x and y have
a significant correlation.
Question 10 1 pts The data below are the final exam scores of 10 randomly selected statistics students and the number of hours they studied for the exam....
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Please attempt at problem dealing in Chi-Square (Goodness of Fit).
Thank you
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