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= 122 n2= 190 x¯1= 27.3 x¯2= 23.8 s1= 3.2 s2= 4.5 Determine the test statistic. Round to four decimal places. t=____________ Find the p-value. Round to 4 decimals

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= 122 n2= 190 x¯1= 27.3 x¯2= 23.8 s1= 3.2 s2= 4.5 Determine the test statistic. Round to four decimal places. t=____________ Find the p-value. Round to 4 decimals

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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= 122 n2= 190 x¯1= 27.3 x¯2= 23.8s1= 3.2s2= 4.5Determine the test statistic.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.4: Distributions Of Data

Problem 19PFA

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Question

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= 122	n2= 190
x¯1= 27.3	x¯2= 23.8
s1= 3.2	s2= 4.5

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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