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The mean number of English courses taken in a two–year time period by male and female college students is believed
to be about the same. An experiment is conducted and data are collected from 29 males and 16 females. The males took an
average of three English courses with a standard deviation of 0.8. The females took an average of four English courses with
a standard deviation of 1.0. Are the means statistically the same?

Short Answer

Expert verified

We reject hypothesis H0and conclude at 5% significance level, and provide sufficient evidence to conclude that the mean number of college English course that males and females takes is different.

Step by step solution

01

Given Information

Find the male and female of English course

02

Part (a) Step 2: Explanation

Given the table with data:

AssumeX1-X2 represent that the difference between the mean of English course taken by males and females

Test these hypothesis:

H0:μ1=μ2H1:μ1≠μ2

To perform the test, we need to distribute the student.

First, calculate the standard error:

SE=s21n1+s22n2=0.8229+1216=0.084569=0.290807

03

Part (b) Step 3: Calculation

Test statistic

t=X1-X2SE=3-4SE=-3.438707

Now we have to find the number of degree of freedom of our test statistic and for that, we are using the formula

df=SEs41n21(n1-1)+s42n21(n2-1)=25.7436

04

Part (c) Step 4: Graph

We get the p=0.002

If we take α=0.05, then p- value is less than 0.005, thus we reject the hypothesis H0and conclude that at 5%significance level, and there is a sufficient evidence to conclude that the mean number of college English course that male and female takes is different

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Most popular questions from this chapter

A student at a four-year college claims that mean enrollment at four–year colleges is higher than at two–year colleges in the United States. Two surveys are conducted. Of the \(35\) two–year colleges surveyed, the mean enrollment was \(5,068\) with a standard deviation of \(4,777\). Of the \(35\) four-year colleges surveyed, the mean enrollment was \(5,466\) with a standard deviation of \(8,191\).

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