Science Quiz / HCHS Statistics 3 (w/TI-84)

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QuestionAnswerTI-84 command
In a hypothesis test, this statement accepts that the stated value of the mean is correct
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.
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?
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.
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.
Error in hypothesis testing in which one fails to reject the null hypothesis when it is actually false (i.e. false negative).
What is the probability of a Type I error when using a significance level of α = 0.01?
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.
QuestionAnswerTI-84 command
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
In a hypothesis test, this statement rejects that the stated value of the mean is correct
A significance level α = 0.05 corresponds to what % confidence interval?
When doing a hypothesis test this value is given by the value of alpha: α/it was first designated by Fisher
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.
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.
Error in hypothesis testing in which the null hypothesis is rejected when it is actually true (i.e. false positive).

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