In: Statistics and Probability
The following data shown are the Test scores from our first Test .
63 70 93 80 90 82 75 75 48 92 97 70
56 79 34 67 48 66 60 90 95 89 76 82
61 96 60 93 54 88 59 71 92 55 70 57
59 69 80 45 74 75 68 57 100 86 79 59 *
1. Construct the Histogram and Calculate Statistics from data for the first test.
2. If minimum averages have been established for each of these grades:
A 93% B83% C73% D63% F< 60%
Construct a Pie Graph and Bar Chart for the data
3. Construct a Box plot
4. Calculate the z-score for your first test score.
5. Compute the percentile score for your first test score.
6. What value corresponds to the 40th percentile?
7. Check the data for outliers. Does your score belong to outliers?
8. From Histogram determine if the data are approximately normally distributed .
9. Using Chebyshev’s theorem at least what percentage will fall between B and C grade.
10. If I curve the scores by10% how will the standard deviation be affected.
a) The data has the following statistics
N | Max | Min | Mean S.D |
48 | 100 | 34 | 72.58 15.83 |
The data has been arranged in to following interval data
Histogram | |
Marks | Frequency |
33-43 | 1 |
43-53 | 4 |
53-63 | 11 |
63-73 | 9 |
73-83 | 11 |
83-93 | 7 |
93-103 | 6 |
b) the barchart and pie chart are as fellow
c) the boxplot is as fellow
5.- the Z score and percentle scores are as fellow
marks | Z-Score | Percentile Rank |
63 | -0.605 | 32% |
70 | -0.163 | 43% |
93 | 1.29 | 89% |
80 | 0.468 | 66% |
90 | 1.1 | 81% |
82 | 0.595 | 70% |
75 | 0.153 | 53% |
75 | 0.153 | 53% |
48 | -1.553 | 4% |
92 | 1.226 | 85% |
97 | 1.542 | 98% |
70 | -0.163 | 43% |
56 | -1.047 | 13% |
79 | 0.405 | 62% |
34 | -2.437 | 0% |
67 | -0.353 | 36% |
48 | -1.553 | 4% |
66 | -0.416 | 34% |
60 | -0.795 | 26% |
90 | 1.1 | 81% |
95 | 1.416 | 94% |
89 | 1.037 | 79% |
76 | 0.216 | 60% |
82 | 0.595 | 70% |
61 | -0.732 | 30% |
96 | 1.479 | 96% |
60 | -0.795 | 26% |
93 | 1.29 | 89% |
54 | -1.174 | 9% |
88 | 0.974 | 77% |
59 | -0.858 | 19% |
71 | -0.1 | 49% |
92 | 1.226 | 85% |
55 | -1.111 | 11% |
70 | -0.163 | 43% |
57 | -0.984 | 15% |
59 | -0.858 | 19% |
69 | -0.226 | 40% |
80 | 0.468 | 66% |
45 | -1.742 | 2% |
74 | 0.089 | 51% |
75 | 0.153 | 53% |
68 | -0.289 | 38% |
57 | -0.984 | 15% |
100 | 1.732 | 100% |
86 | 0.847 | 74% |
79 | 0.405 | 62% |
59 | -0.858 | 19% |
7. the value corresponds to 40th percentile is 69
8. Yes the data is positively skewed but is not completely normal.
9. about 23% of the data.
10. Standard deviation will alter.