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Gender and Direction. Refer to Exercise 10.46 and obtain a 98% confidence interval for the difference between the mean absolute pointing errors for males and females.

Short Answer

Expert verified

We can be 98% sure that a male's mean absolute pointing inaccuracy is between 45.24and 8.84 degrees less than a female's.

Step by step solution

01

Given Information

Given in the question that, the sample data is supplied from two male and female groups.

x¯1=37.6

s1=38.5

x¯2=55.8

s2=48.3

The significance level is 5%.

02

Explanation

Let's consider the first population:

Male, x¯1=37.6

s1=38.5and

n1=30

Let's consider the second population:

Female, x¯2=55.8

s2=48.3and

n2=30

The main goal is to calculate a 98%confidence interval for the difference between the two population means, μ1and μ2

The null and alternate hypotheses should be stated.

Null hypotheses: H0=μ1μ2

Alternate hypotheses: Ha=μ1<μ2

Hypotheses have a left-tailed structure.

Use Table IV to calculate tα/2for a confidence level of 1-awith df=n1+n2-2

for a 98%confidence level.

df=n1+n2-2=(30+30-2)=58.

When df=58, using table IV for critical values,

Critical value, tα/2=t0.02/2=t0.01=2.392

Find the confidence interval's endpoints.

Pooled standard deviation,

sp=n1-1s1+2n2-1s22n1+n2-2

sp=(30-1)(38.5)2+(30-1)(48.3)230+30-2

sp=29(1482.25)+29(2352.25)58

sp=43.786

Confidence interval =x¯1-x¯2±tα/2·sp1n1+1n2

Confidence interval =(37.6-55.8)±2.392×43.786130+130

Confidence interval=-18.2±27.043

Confidence interval =-45.24to8.84.

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Most popular questions from this chapter

A variable of two population has a mean of 7.9and standard deviation of 5.4for one of the population and a mean of 7.1and a standard deviation of 4.6 for the other population.

a. For independent samples of sizes 3and6respectively find the mean and standard deviation of x1-x2

b. Must the variable under consideration be normally distributed on each of the two population for you to answer part (a) ? Explain your answer.

b. Can you conclude that the variable x1-x2is normally distributed? Explain your answer.

Right-Tailed Hypothesis Tests and CIs. If the assumptions for a pooled t-interval are satisfied, the formula for a (1-α)-level lower confidence bound for the difference, μ1-μ2, between two population means is

x¯1-x^2-ta·Sp1/n1+1/n2

For a right-tailed hypothesis test at the significance level α,

the null hypothesis H0:μ1=μ2will be rejected in favor of the alternative hypothesis Ha:μ1>μ2if and only if the (1-α)-level lower confidence bound for μ1-μ2is greater than or equal to 0. In each case, illustrate the preceding relationship by obtaining the appropriate lower confidence bound and comparing the result to the conclusion of the hypothesis test in the specified exercise.

a. Exercise 10.47

b. Exercise 10.50

The primary concern is deciding whether the mean of Population 2 differs from the mean of Population 1 .

Refer to Exercise 10.85and determine a98%confidence interval for the difference between the mean dopamine activities of psychotic and nonpsychotic patients.

Give an example of interest to you for comparing two population means. Identify the variable under consideration and the two populations.

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