- IB
- Question Type 11: Calculating critical value and/or p-value to conclude the one sample t-test
Testing a population mean using a sample size of , a sample mean , and a sample standard deviation .
A chemical concentration test is performed with the following sample data: , , and . Test the null hypothesis against the alternative hypothesis at the significance level using the -value approach.
[6]A study records observations with and . Test at the significance level whether . Use the -value method.
[6]A treatment yields , , and . Test at the 5% level whether the population mean equals 14 using the -value approach.
[6]A sample of size has mean and standard deviation . Test at the 5% significance level whether the population mean differs from using the critical value approach. Include hypotheses, critical value, test statistic, and conclusion.
[6]A sample of yields and . Use the -value approach at to test versus . Compute the -value and state your conclusion.
[6]A manufacturer claims that their bulbs last on average 1200 hours. A quality control sample of bulbs gives and . Test at whether the true mean lifetime is less than 1200 hours using the critical value method.
[6]A psychologist measures reaction times: , ms, ms. Test ms versus ms at by finding the critical -value and comparing.
[6]A sample of yields and . Using the p-value approach at the level of significance, test against .
[5]A sample of size yields and . At the 1% significance level, test whether the true mean exceeds 100 using the critical value approach. Provide all steps.
[6]An educator tests if students' scores differ significantly from 75. Given , , and , test the hypothesis against at the significance level () using the critical value method.
[6]In a lab, measurements give and . Test against at . Find the critical values and conclude via comparison.
[6]