Make a hypothesis test on two population means or proportions for variables X and Y are satisfied. If not, deliberate the assumptions you need to make about the two populations to satisfy the condition. Explain how to choose a distribution and justify the assumption made about the unknown population variances.Perform a hypothesis test of two-sample mean or proportion comparison for variables X and Y using the p-value

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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Make a hypothesis test on two population means or
proportions for variables X and Y are satisfied. If not, deliberate the assumptions you
need to make about the two populations to satisfy the condition. Explain how to choose
a distribution and justify the assumption made about the unknown population
variances.Perform a hypothesis test of two-sample mean or proportion comparison for variables
X and Y using the p-value approach at a 5% significance level. Then, interpret your
result.Give an example for each of the Type I and Type II errors.

By using Microsoft Excel Data Analysis TeolPak Add-in, the descriptive statistic on both dataset
of Variable X and Variable Y is carried out and descriptive statistics are as figure below.
Variable X
Variable Y
Mean
1197.32
Mean
1297.18
Standard Error
15.17278552
Standard Error
14.621809
Median
1209.5
Median
1290
Mode
1220
Mode
1290
Standard Deviation 107.2877953
Standard Deviation 103.391803
Sample Variance
11510.67102
Sample Variance
10689.8649
Kurtosis
-0.536048735
Kurtosis
1.68134799
Skewness
0.055068823
Skewness
0.92249475
Range
453
Range
500
Minimum
955
Minimum
1120
Maximum
1408
Mаximum
1620
Sum
59866
Sum
64859
Count
50
Count
50
Figure 1.1 Descriptive statistic table
Transcribed Image Text:By using Microsoft Excel Data Analysis TeolPak Add-in, the descriptive statistic on both dataset of Variable X and Variable Y is carried out and descriptive statistics are as figure below. Variable X Variable Y Mean 1197.32 Mean 1297.18 Standard Error 15.17278552 Standard Error 14.621809 Median 1209.5 Median 1290 Mode 1220 Mode 1290 Standard Deviation 107.2877953 Standard Deviation 103.391803 Sample Variance 11510.67102 Sample Variance 10689.8649 Kurtosis -0.536048735 Kurtosis 1.68134799 Skewness 0.055068823 Skewness 0.92249475 Range 453 Range 500 Minimum 955 Minimum 1120 Maximum 1408 Mаximum 1620 Sum 59866 Sum 64859 Count 50 Count 50 Figure 1.1 Descriptive statistic table
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