describe the skewness and kurtosis with the distribution graph. | |||||
X (income) | No. of persons | Cumulative frequency (cf) | |||
180 | 16 | 16 | |||
200 | 24 | 40 | |||
250 | 26 | 66 | |||
280 | 30 | 96 |
X | No. Of person | Cf | Xf | (X-xbar)^2 f | (X-xbar)^3 f | (X-xbar)^4 f |
180 | 16 | 16 | 2880 | 48770.3056 | -2692608.6 | 148658919 |
200 | 24 | 40 | 4800 | 29753.8584 | -1047633.4 | 36887170.4 |
250 | 26 | 66 | 6500 | 5687.3466 | 84115.8562 | 1244073.51 |
280 | 30 | 96 | 8400 | 60184.323 | 2695655.83 | 120738424 |
Total | 96 | 22580 | 144395.834 | -960470.24 | 307528588 | |
na | na | 235.21 | 1504.12 | -10004.898 | 3203422.79 |
Skewness,
Kurtosis,
The data is negatively skewed and platykurtic.
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describe the skewness and kurtosis with the distribution graph. X (income) No. of persons Cumulative frequency...
describe the skewness and kurtosis with the distribution graph. X (income) No. of persons (F) 200 24 250 26 180 16 300 20 350 6 280 30
demonstrate in graphic form the variability X (income) No. of persons Cumulative frequency (cf) 180 16 16 200 24 40 250 26 66 280 30 96
demonstrate in graphic form the variability X (income) No. of persons (F) 200 24 250 26 180 16 300 20 350 6 280 30
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