Part 1. Multiple Choice/ Match/ Fill Blank Question (36 pts) priate word or phra

Question

Part 1. Multiple Choice/ Match/ Fill Blank Question (36 pts) priate word or phrase from the lists to complete the sentences A. Type I error B. significance level C. Type II error D. p-value E. power of hypothesis test is the same as the probability of a Type I error In a hypothesis test, if you reject a true null hypothesis, you have In a hypothesis test, if you fail to reject a false null hypothesis, you have committeda In a hypothesis test, the of the test is the probability of rejecting a false null hypothesis committed a is the probability of obtaining a value of the test statistic or more extreme if the null hypothesis is true. 2. (6pts) In a certain population of students, the mean number of hours spent studying per weck is 10.3 hours with a standard deviation of 4 hours, so, the mean of the sampling distribution for the sample mean number of hours spent studying per week for a sample of size 400 from this population will be standard deviation of the sampling distribution for the sample mean number of hours spent studying per week for a sample of size 400 from this population will be hours and the hours For which shape of a population distribution would you need the smallest sample size to apply the Central Limit Theorem? A. Unimodal and slightly skewed right B. Unimodal and symmetric C. Unimodal and moderately skewed right. D. Unimodal and highly skewed right. For a random sample of 25 pieces of plastic, the strengths of plastic welds, in Newtons (0N), found to have a mean of 16.43 and a standard deviation of 1.03. Use the following scenario to answer questions 3 through 4:

Explanation / Answer

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1)

Type I and type II errors. ... In statistical hypothesis testing, a type I error is the incorrect rejection of a true null hypothesis (also known as a "false positive" finding), while a type II error is incorrectly retaining a false null hypothesis (also known as a "false negative" finding).

So, Fill in the blanks:

1) Significance level

2) Type 1

3) Type 2

4) A test's power is the probability of correctly rejecting the null hypothesis when it is false

So, power

5) p value

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