Given the two independent samples below, conduct a hypothesis test for the desired scenario. Assume all populations are approximately normally distributed.Sample 1Sample 2 n1=n1= 988 n2=n2= 894 ¯x1=x¯1= 363 ¯x2=x¯2= 235s1=s1= 157s2=s2= 178Determine the test statistic. Round to four decimal places.t=____________Find the p-value. Round to 4 decimals.p-value =___________

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Description: Given the two independent samples below, conduct a hypothesis test for the desired scenario. Assume all populations are approximately normally distributed.Sample 1Sample 2 n1=n1= 988 n2=n2= 894 ¯x1=x¯1= 363 ¯x2=x¯2= 235s1=s1= 157s2=s2= 178Determine t

Given, n1=988, n2=894 X bar1=363 X bar 2=235 s1=157, s2=178

Answered: Given the two independent samples…

MATLAB: An Introduction with Applications

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ISBN:9781119256830

Author:Amos Gilat

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Given the two independent samples below, conduct a hypothesis test for the desired scenario. Assume all populations are approximately normally distributed.

Sample 1	Sample 2
n1=n1= 988	n2=n2= 894
¯x1=x¯1= 363	¯x2=x¯2= 235
s1=s1= 157	s2=s2= 178

Determine the test statistic. Round to four decimal places.
t=____________

Find the p-value. Round to 4 decimals.
p-value =___________

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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