BSTAT 1st Edition by Gerald Keller – Test Bank

Get Test Bank For BSTAT 1st Edition by Gerald Keller

1. ISBN-10

   0538479825

2. ISBN-13

   978-0538479820

CHAPTER 11: INFERENCE ABOUT A POPULATION

TRUE/FALSE

1. To possess the capability to identify the p-value linked to hypothesis testing concerning the population mean μ, understanding the value of the test statistic is crucial.
2. To interpret the p-value associated with hypothesis testing concerning the population mean μ, knowledge of the test statistic is essential.
3. If a sample consists of 15 observations and a 95% confidence interval estimate for μ is required, the correct t-value is 1.753.
4. Having 18 observations in a sample and requiring a 90% confidence interval estimate for μ, the appropriate t-value is 1.740.
5. When the sampled population is normally distributed, the statistic follows a Student t-distribution with n degrees of freedom.
6. Even if the sampled population is non-normal, the t-test for the population mean μ remains valid if the conditions are not extreme.
7. A racing driver conducted tests from 0 to 60 mph, with a mean of 48.5 seconds and a standard deviation of 1.47 seconds over 20 trials. The 95% confidence interval for the 0 to 60 time is from 45.2 seconds to 51.8 seconds.
8. When creating a 95% confidence interval for a population mean from a sample size of 20, the degrees of freedom from the t-distribution are not 20.
9. The t-distribution is used in a confidence interval estimation for a mean when the exact standard error is unknown.
10. The t-distribution does not allow the computation of confidence intervals for means in small samples when the population variance is not known, irrespective of the distribution shape in the population.
11. The t-distribution is employed to construct a confidence interval estimate of the population mean when the population standard deviation is unspecified.