In: Math
Variable Mean Median Q1 Q3 Two-Star 65.08 69.50 46.50 79.25 Three-Star 89.74 87.00 70.75 107.00 Four-Star 127.74 125.50 90.75 150.00 B. Variable Range Interquartile Range Variance Standard deviation Coefficient of variation Two - star 94.00 32.75 473.80 21.77 33.45 Three-star 126.00 36.25 761.66 27.60 30.75 Four-star 134.00 59.25 1583.60 39.79 31.15 Based on the results, what conclusions can you reach concerning these variables?
The data given is -
Variable | Mean | Median | Q1 | Q3 | ||
Two-Star | 65.08 | 69.5 | 46.5 | 79.25 | ||
Three-Star | 89.74 | 87 | 70.75 | 107 | ||
Four-Star | 127.74 | 125.5 | 90.75 | 150 | ||
Range | Interquartile Range | Variance | Standard Deviation | Coefficient of Variation | ||
Two-Star | 94 | 32.75 | 473.8 | 21.77 | 33.45 | |
Three-Star | 126 | 36.25 | 761.66 | 27.6 | 30.75 | |
Four-Star | 134 | 59.25 | 1583.6 | 39.79 | 31.15 | |
We can clearly see that the mean of variable 'Two-star ' is least while its maximum for the variable 'Four-Star'. The variable 'Three-Star' has mean in between these variables.
The median of the 'Two-start' variable is to the right of mean while for the 'Three-Star' and 'Four-Star', the median is to the left of mean. It means that the 'Two-Star' variable has left-skewed distribution while the other two have right skewed distribution.
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Now note that the range of variable 'Two-Star' is least but there is not much difference between the range of 'Three-Star' and 'Four'Star' variables. Which indicates that the linear spread of the three-star variable and the four-star variable are similar. But the variance of four-star variable is almost twice to that of three-star variable.
Which means there is a lot of fluctuation in the 'four-star' variable which results in such high variance.