In: Statistics and Probability
3. A sample of 25 freshmen and senior students at a major university completed a survey that extent of satisfaction with the parking situation on the campus (the higher the score, the greater the satisfaction).
Freshmen |
11 43 30 30 45 41 12 40 42 35 45 25 10 33 50 42 32 38 11 47 22 26 37 38 10 |
Seniors |
10 45 35 28 52 35 12 50 40 30 40 10 10 38 12 40 15 30 20 43 23 25 30 40 12 |
Compute the median, mean and standard deviation scores for these data. Based on the measures of central tendency and dispersion, describe the change in the satisfaction with the parking service between freshman and seniors. Make sure that you make a reference to the possible shape of the underlying distributions for the two groups and the change in them over the period of four years? 5 Points
freshman
X | (X - X̄)² |
11 | 432.640 |
30 | 3.240 |
41 | 84.640 |
42 | 104.040 |
45 | 174.240 |
33 | 1.440 |
42 | 104.040 |
11 | 432.640 |
22 | 96.040 |
38 | 38.440 |
43 | 125.440 |
45 | 174.240 |
12 | 392.040 |
35 | 10.240 |
25 | 46.240 |
50 | 331.240 |
32 | 0.040 |
47 | 231.040 |
26 | 33.640 |
10 | 475.240 |
30 | 3.240 |
40 | 67.240 |
10 | 475.240 |
38 | 38.440 |
37 | 27.040 |
X | (X - X̄)² | |
total sum | 795 | 3902 |
n | 25 | 25 |
mean = ΣX/n = 31.8
sample std dev = √ [ Σ(X - X̄)²/(n-1)] =
12.7508
Median=0.5(n+1)th value = 13 th value from ascending order= 35
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senior
X | (X - X̄)² |
10 | 361.000 |
28 | 1.000 |
35 | 36.000 |
40 | 121.000 |
40 | 121.000 |
38 | 81.000 |
40 | 121.000 |
20 | 81.000 |
23 | 36.000 |
40 | 121.000 |
45 | 256.000 |
52 | 529.000 |
12 | 289.000 |
30 | 1.000 |
10 | 361.000 |
12 | 289.000 |
15 | 196.000 |
43 | 196.000 |
25 | 16.000 |
12 | 289.000 |
35 | 36.000 |
50 | 441.000 |
10 | 361.000 |
30 | 1.000 |
30 | 1.000 |
X | (X - X̄)² | |
total sum | 725 | 4342 |
n | 25 | 25 |
mean = ΣX/n = 29
sample std dev = √ [ Σ(X - X̄)²/(n-1)] =
13.4505
Median=0.5(n+1)th value = 13 th value= 30
__________________________________________________________________________________
freshman | senior | ||
Mean | 31.8 | Mean | 29 |
Standard Error | 2.550163 | Standard Error | 2.690105 |
Median | 35 | Median | 30 |
Mode | 11 | Mode | 40 |
Standard Deviation | 12.75082 | Standard Deviation | 13.45053 |
Sample Variance | 162.5833 | Sample Variance | 180.9167 |
Kurtosis | -0.84554 | Kurtosis | -1.23346 |
Skewness | -0.61812 | Skewness | -0.08029 |
Range | 40 | Range | 42 |
Minimum | 10 | Minimum | 10 |
Maximum | 50 | Maximum | 52 |
Sum | 795 | Sum | 725 |
Count | 25 | Count | 25 |
in frshman data, mean is smaller than median , so data is mild skew to left
here, median will represent center of measure of data
in junior data, mean is approximately equal to median , so mean will represent center of measure of data
dispersion of data is less in case of freshmen as compared to junior , because std dev is less in freshman data