The mean for a given population is 29 but the st dev is unknown. An SRS of 40 is taken w/mean 27.9 & sample st dev of 4.3. Find the p-value for alt hyp < null hyp.

T-Test

The mean of a population is 12 with a st dev 3. If a sample mean for an SRS of 400 is 12.25, find the p-value for a hypothesis test for the alternative hyp does not equal null hyp.

Z-Test

In a hypothesis test, this statement accepts that the stated value of the mean is correct

On a yes/no survey 80% of total population said yes. For an SRS of 100 only 73 said yes. Find the p-value for alt hyp does not equal null hyp.

Z-Test

Data: (299.4, 297.7, 296.9, 300.9, 299.1, 297.0, 301.0). If the mean is 300 and the st dev is 3, find the z-score associated with the p-value for a hyp test w/alt hyp < null hyp.

Z-Test

What is the probability of a Type I error when using a significance level of α = 0.01?

Brit statistician who developed Student's t-distribution while working for Guinness Brewery/used stats to select best yielding varieties of barley/friends w/both Pearson & Fisher

The mean proportion of a population is 0.75. If an SRS population of 60 is taken, what is the probability of finding a sample mean of 0.68?

Z-Test

Question

Answer

TI-84 command

Error in hypothesis testing in which the null hypothesis is rejected when it is actually true (i.e. false positive).

In a hypothesis test, this statement rejects that the stated value of the mean is correct

When doing a hypothesis test this value is given by the value of alpha: α/it was first designated by Fisher

Error in hypothesis testing in which one fails to reject the null hypothesis when it is actually false (i.e. false negative).

The mean of a population is 12 with a st dev 3. If a sample mean for an SRS of 400 is 12.25, find the p-value for a hypothesis test for the alternative hyp > null hyp.

Z-Test

A significance level α = 0.05 corresponds to what % confidence interval?

When doing a hypothesis test, this value gives the probability (assuming null hyp true) of getting a test statistic at least as extreme as that which is observed.

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