Answer the three questions below:You can't calculate the mean of a category variable like sex. How might you provide a summary/representative score for this variable in your sample? Does the skewness meaningfully differ from the skewness of a normal curve? Why/why not? AND Does the kurtosis meaningfully differ from the kurtosis of a normal curve? Why?life_satisfactionValid N (listwise)Descriptive StatisticsNSkewnessStatistic Statistic Std. Error20.000.51220Why these two numbers are different, and which is the better one? Explain why the number that SPSS calculated for the mean is meaningless. What would be a meaningful measure of central tendency for EDUC?Descriptive StatisticsEDUCValid N (listwise)N2020MeanKurtosisStatistic Std. Error-.279.9923.00

Answered: Does the skewness meaningfully differ…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Related questions

Question

Answer the three questions below:

You can't calculate the mean of a category variable like sex. How might you provide a summary/representative score for this variable in your sample?

Does the skewness meaningfully differ from the skewness of a normal curve? Why/why not? AND Does the kurtosis meaningfully differ from the kurtosis of a normal curve? Why?
life_satisfaction
Valid N (listwise)
Descriptive Statistics
N
Skewness
Statistic Statistic Std. Error
20
.000
.512
20
Why these two numbers are different, and which is the better one? Explain why the number that SPSS calculated for the mean is meaningless. What would be a meaningful measure of central tendency fo
r EDUC?
Descriptive Statistics
EDUC
Valid N (listwise)
N
20
20
Mean
Kurtosis
Statistic Std. Error
-.279
.992
3.00

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

Expert Solution