. Consider the following scores on a final exam.
Emma |
85 |
Noah |
90 |
Olivia |
95 |
Mason |
87 |
Liam |
88 |
Sophia |
94 |
Isabella |
92 |
Ethan |
95 |
James |
92 |
Charlotte |
91 |
3a. What is the mean test score?
3b. What is the standard deviation of the test scores?
3c. Compare the standard deviation and coefficient of variance from the Mid-Term Exam (problem 2) to the standard deviation and coefficient of variance from the Final Exam. What does this tell you about the scores on the mid-term compared to the final?
(3a) Mean test score () is given by:
So,
Answer is:
90.9
(3b)
x | (x - ) | (x - )2 |
85 | - 5.9 | 34.81 |
90 | - 0.9 | 0.81 |
95 | 4.1 | 16.81 |
87 | - 3.9 | 15.21 |
88 | - 2.9 | 8.41 |
94 | 3.1 | 9.61 |
92 | 1.1 | 1.21 |
95 | 4.1 | 16.81 |
92 | 1.1 | 1.21 |
91 | 0.1 | 0.01 |
total = | 104.9 |
Standard deviation (s) is given by:
So,
Answer is:
3.4140
(3c)
For Final Exam:
Standard deviation = 3.4140
Coefficient of Variation (CV) is given by:
%
Since the details of Mid Term Exam are not provided, comparison cannot be made.
. Consider the following scores on a final exam. Emma 85 Noah 90 Olivia 95 Mason...
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Calculate the sample standard deviation and sample variance for the following frequency distribution of final exam scores in a statistics class. If necessary, round to one more decimal place than the largest number of decimal places given in the data.Final Exam ScoresClassFrequency56 - 6456 - 64141465 - 7365 - 736674 - 8274 - 82131383 - 9183 - 918892 - 10092 - 1001212