To determine if a distribution is approximately normal we need to know the ___.
To determine if a distribution is approximately normal we need to know the ___. Skewness Kurtosis...
plz show me how to get skewness and kurtosis of normal distribution by using CGF(culmulants generating function)
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
Using Excel, calculate the mean, standard deviation, standard error, median, sample variance, kurtosis, skewness, range, minimum, maximum, sum, count, largest(1), smaller(1) of your distribution and interpret their meanings. Column Mean Standard error Median Mode Standard Deviation Sample variance Kurtosis Skewness Range Minimum Maximum Sum Count Largest(1) Smallest(1)
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
please help (b) In a continuous distribution, the frequency density function is given by Find yo, mean, variance, coefficients of skewness and kurtosis. Hence comment on 7 the nature of the distribution. The joint distribution of X and Y is given by (a) (x y #x, y)-Cxy e-(x" +y"),X20, y20. Find C. Test whether X and Y are independent. Also find the conditional density of X given Y- y. (b) In a continuous distribution, the frequency density function is given...
Which of the following is true? [i] Kurtosis is a measure of the variability [ii] Kurtosis is a measure of the peakedness of a distribution [iii] Standard deviation is a measure of location [iv] Skewness is a measure of the degree of asymmetry of a frequency distribution [v] A symmetric distribution has zero skewness [vi] Variance is the difference between the largest and smallest values of a distribution. i, ii, iii, vi ii, iii, v ii, iv, v iii, iv,...
12 a and b 12. A distribution has a skewness of-0.14 and a kurtosis of +0.09 a. Draw approximately what this distribution should look like. b. What terms would you use to describe this distribution? 13. Build a stem-and-leaf plot for the sibling age data in Table 3.1 14. Create a pie chart showing the percentage of subjects in Table 3.1 who gave each r the language development data in the Waite et al. (2015) study 15. The following data...
Which of the following is incorrect about the shape of distributions? a. Kurtosis is a measure of whether the data are heavy or light-tailed relative to a normal distribution. b. A distribution that is more peaked than normal is leptokurtic. c. Skewness is a measure of the lack of symmetry for a data set. d. All of the above are correct.
Explain why the normal distribution is USEFUL. If we know that a quality has a normal distribution, list three things we can then predict about this quality.
For a sampling distribution to be approximately normally distributed, we need that the underlying population distribution is also approximately normally distributed. True False