Determine the critical value(s) and rejection region(s) for a right-tailed chi-square test with a sample size n=15 and level of significance a = 0.05.
Round three decimal places.
A light bulb manufacturer guarantees that the mean of a certain type of light bulb is at least 761 hours. A random sample of 28 light bulbs has a mean of 736 hours. Assume the population is normally distributed and the population standard deviation is 61 hours. At significance level a =0.05, do you have enough evidence to reject the manufacturer's claim?
Identify the null hypothesis and alternative hypothesis. * Identify which is the claim.
Identify the critical value(s). z0 (z with subscript 0) =
Identify rejection region.
Identify the standardized test statistic.
Decide whether o reject or fail to reject the null hypothesis, and interpret the decision in the context of the original claim. Do we fail or reject the null hypothesis? Is there sufficient evidence to reject the claim that the mean bulb life is at least 761 hours