State whether the following statements are True or False. 1- A Type II error is

Question

State whether the following statements are True or False.

1- A Type II error is rejecting a true null hypothesis.

2- When testing a null hypothesis about a single population mean and the population standard deviation is unknown, if the sample size is less than 30, one compares the computed test statistic for significance with a value from the Z- distribution.

3- As the level of significance a decreases, we are more likely to fail to reject the null hypothesis.

4- For a hypothesis test about a population proportion or mean, if the level of significance is greater than the p-value, fail to reject null the null hypothesis.

5- If we are testing for the difference between two population means and assume that the two populations have equal but unknown standard deviations, the variances are pooled to compute the best estimated variance.

Explanation / Answer

State whether the following statements are True or False. 1- A Type II error is

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