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Use the following information to answer the next \(12\) exercises: The U.S. Center for Disease Control reports that the mean life expectancy was \(47.6\) years for whites born in \(1900\) and \(33.0\) years for nonwhites. Suppose that you randomly survey death records for people born in \(1900\) in a certain county. Of the \(124\) whites, the mean life span was \(45.3\) years with a standard deviation of \(12.7\) years. Of the \(82\) nonwhites, the mean life span was \(34.1\) years with a standard deviation of \(15.6\) years. Conduct a hypothesis test to see if the mean life spans in the county were the same for whites and nonwhites.

Find the \(p-\)value.

Short Answer

Expert verified

\(p-\)value approximately \(0\)

Step by step solution

01

Step 1. Given information

  • The Whites born in \(1900\) had a life expectancy of \(47.6\) years
  • The nonwhites had a life expectancy of \(33.0\) years.
  • The average life duration of the \(124\) whites was \(45.3\) years, with a standard deviation of \(12.7\) years.
  • The average life span of the \(82\)nonwhites was \(34.1\) years, with a standard deviation of \(15.6\) years.
02

Step 2. Calculation

To find the \(p-\)value press STAT and twice to select TESTS.

Select the \(2\) sample T test and press ENTER as displayed,

Use the \(\rightarrow\) select Stats and enter the provided sample values.

Once all the sample entries are made press to obtain the results as,

From the above output the p-value is \(5.315896E-85.315896E-8\) which is approximately equal to \(0\).

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Most popular questions from this chapter

Use the following information to answer the next 12 exercises: The U.S. Center for Disease Control reports that the mean life expectancy was 47.6 years for whites born in 1900 and 33.0 years for nonwhites. Suppose that you randomly survey death records for people born in 1900 in a certain county. Of the 124 whites, the mean life span was 45.3 years with a standard deviation of 12.7 years. Of the 82 nonwhites, the mean life span was 34.1 years with a standard deviation of 15.6 years. Conduct a hypothesis test to see if the mean life spans in the county were the same for whites and nonwhites.

Sketch a graph of the situation. Label the horizontal axis. Mark the hypothesized difference and the sample difference. Shade the area corresponding to the p-value.

Use the following information to answer the next twelve exercises.In the recent Census, three percent of the U.S. population reported being of two or more races. However, the percent varies tremendously from state to state. Suppose that two random surveys are conducted. In the first random survey, out of 1,000 North Dakotans, only nine people reported being of two or more races. In the second random survey, out of 500 Nevadans, 17 people reported being of two or more races. Conduct a hypothesis test to determine if the population percents are the same for the two states or if the percent for Nevada is statistically higher than for North Dakota.

What is the random variable of interest for this test?

Use the following information to answer the next 15 exercises: Indicate if the hypothesis test is for

a. independent group means, population standard deviations, and/or variances known

b. independent group means, population standard deviations, and/or variances unknown

c. matched or paired samples

d. single mean

e. two proportions

f. single proportion

A sample of 12 in-state graduate school programs at school A has a mean tuition of \(64,000 with a standard deviation of \)8,000. At school B, a sample of 16 in-state graduate programs has a mean of \(80,000 with a standard deviation of \)6,000. On average, are the mean tuitions different?

Use the following information to answer the next five exercises. A study was conducted to test the effectiveness of a software patch in reducing system failures over a six-month period. Results for randomly selected installations are shown in Table 10.21. The โ€œbeforeโ€ value is matched to an โ€œafterโ€ value, and the differences are calculated. The differences have a normal distribution. Test at the 1% significance level.

What is the random variable?

At the 1% significance level, what is your conclusion?

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