Question

In: Math

The ages of a group of 135 randomly selected adult females have a standard deviation of...

The ages of a group of 135 randomly selected adult females have a standard deviation of 17.9 years. Assume that the ages of female statistics students have less variation than ages of females in the general​ population, so let sigmaequals17.9 years for the sample size calculation. How many female statistics student ages must be obtained in order to estimate the mean age of all female statistics​ students? Assume that we want 95​% confidence that the sample mean is within​ one-half year of the population mean. Does it seem reasonable to assume that the ages of female statistics students have less variation than ages of females in the general​ population?

Solutions

Expert Solution

Let n be the size of the sample  of female statistics​ students that is needed to estimate with 95​% confidence that the sample mean is within​ one-half year of the population mean.

The population standard deviation of the age of female statistics​ students is less than 17.9 years. But we will assume it to be 17.9 years

is the standard deviation of the age of female statistics​ students

The standard error of mean for a sample size of n is

We need the critical value for 95% confidence interval. The significance level is

The right tail critical value is

Using the standard normal tables we can find that for z=1.96, P(Z<1.96) = 0.975

Hence

Lastly we want to estimate sample mean is within​ one-half year of the population mean. This means that the margin of error for 95% confidence interval is 0.5 years (one-half year)

The margin of error is

That is we need a sample of size 4924

ans: 4924 female statistics student ages must be obtained in order to estimate the mean age of all female statistics​ students.

The females statistics students are likely to belong to a narrower age band, compared to  adult  females in the general​ population (age of an adult female in general population may go as high or higher than 100 years, where as a female statistics student is not likely to be 100 year old) .

Hence it is reasonable to assume that the ages of female statistics students have less variation than ages of females in the general​ population.


Related Solutions

The ages of a group of 141 randomly selected adult females have a standard deviation of...
The ages of a group of 141 randomly selected adult females have a standard deviation of 18.9 years. Assume that the ages of female statistics students have less variation than ages of females in the general​ population, so let σ=18.9years for the sample size calculation. How many female statistics student ages must be obtained in order to estimate the mean age of all female statistics​ students? Assume that we want 95​% confidence that the sample mean is within​ one-half year...
Randomly selected 8080 student cars have ages with a mean of 88 years and a standard...
Randomly selected 8080 student cars have ages with a mean of 88 years and a standard deviation of 3.6 years, while randomly selected 9595 faculty cars have ages with a mean of 5.4 years and a standard deviation of 3.7 years. 1.    Use a 0.03 significance level to test the claim that student cars are older than faculty cars. The test statistic is   The critical value is   Is there sufficient evidence to support the claim that student cars are older than...
Randomly selected 2929 student cars have ages with a mean of 77 years and a standard...
Randomly selected 2929 student cars have ages with a mean of 77 years and a standard deviation of 3.43.4 years, while randomly selected 1515 faculty cars have ages with a mean of 5.95.9 years and a standard deviation of 3.73.7 years. 1. Use a 0.010.01 significance level to test the claim that student cars are older than faculty cars. (a) The null hypothesis is H0:μs=μfH0:μs=μf. What is the alternate hypothesis? A. HA:μs<μfHA:μs<μf B. HA:μs≠μfHA:μs≠μf C. HA:μs>μfHA:μs>μf (b) The test statistic...
Randomly selected 140 student cars have ages with a mean of 7.5 years and a standard...
Randomly selected 140 student cars have ages with a mean of 7.5 years and a standard deviation of 3.6 years, while randomly selected 75 faculty cars have ages with a mean of 5.4 years and a standard deviation of 3.5 years. 1. Use a 0.03 significance level to test the claim that student cars are older than faculty cars. The test statistic is The critical value is Is there sufficient evidence to support the claim that student cars are older...
Randomly selected 30 student cars have ages with a mean of 7 years and a standard...
Randomly selected 30 student cars have ages with a mean of 7 years and a standard deviation of 3.6 years, while randomly selected 23 faculty cars have ages with a mean of 5.9 years and a standard deviation of 3.5 years. 1. Use a 0.01 significance level to test the claim that student cars are older than faculty cars. (a) The test statistic is (b) The critical value is (c) Is there sufficient evidence to support the claim that student...
Randomly selected 23 student cars have ages with a mean of 8 years and a standard...
Randomly selected 23 student cars have ages with a mean of 8 years and a standard deviation of 3.6 years, while randomly selected 27 faculty cars have ages with a mean of 5.8years and a standard deviation of 3.7 years. 1. Use a 0.01significance level to test the claim that student cars are older than faculty cars. (a) The test statistic is (b) The critical value is (c) Is there sufficient evidence to support the claim that student cars are...
Randomly selected 24 student cars have ages with a mean of 8 years and a standard...
Randomly selected 24 student cars have ages with a mean of 8 years and a standard deviation of 3.6 years, while randomly selected 30 faculty cars have ages with a mean of 6 years and a standard deviation of 3.3 ears. 1. Use a 0.01 significance level to test the claim that student cars are older than faculty cars. (a) The test statistic is ___________ (b) The critical value is ___________ (c) Is there sufficient evidence to support the claim...
A group of 59 randomly selected students have a mean score of 29.5 with a standard...
A group of 59 randomly selected students have a mean score of 29.5 with a standard deviation of 5.2 on a placement test. What is the 90% confidence interval for the mean score, μ, of all students taking the test. Show Work
A group of 76 randomly selected students have a mean score of 29.5 with a standard...
A group of 76 randomly selected students have a mean score of 29.5 with a standard deviation of 5.2 on a placement test. Construct and interpret a 99% confidence interval for the mean score, μ, of all students taking the test.
A group of 76 randomly selected students have a mean score of 29.5 with a standard...
A group of 76 randomly selected students have a mean score of 29.5 with a standard deviation of 5.2 on a placement test. Construct and interpret a 95% confidence interval for the mean score, μ, of all students taking the test. Construct and interpret a 95% confidence interval for the mean score, μ, of all students taking the test.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT