6) If the null hypothesis is not rejected, we conclude that the alternative 7) I

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6) If the null hypothesis is not rejected, we conclude that the alternative 7) If the null hypothesis is not rejected, we conclude that the null hypothesis 8) A Type I error occurs when the investigator 9) A Type II error occurs when the investigator 10) The probability of committing a Type I error is designated by the symbol which is also called the 11) Values of the test statistic that separate the acceptance region from the rejection are called 12) The following is a general statement of a decision rule: If, when the null hypothesis is values. true, the probability of obtaining a value of the test statistic as than that actually obtained is less than or equal to , the null hypothesis is Otherwise, the null hypothesis is as or more 13) The probability of obtaining a value of the test statistic as extreme as or more extreme than that actually obtained, given that the tested null hypothesis is true, is called for the test. 14) When one is testing Ho:-Ho on the basis of data from a sample of size n from a normally , the test statistic is distributed population with a known variance of 15) When one is testing Ho: = on the basis of data from a sample of size n from a normally distributed population with a unknown variance, the test statistic is

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6) If we do not reject the null hypothesis,we conclude that there is not enough statistical evidence to infer that the alternativehypothesis is true.

7) If we reject the null hypothesis, we conclude that there is enough evidence to infer that the alternative hypothesis is true.

8) In statistical hypothesis testing, a type I error is made when investigator incorrectly rejects a true null hypothesis (also known as a "false positive" finding).

9) While a type II error is made when investigator incorrectly retains a false null hypothesis (also known as a "false negative" finding).

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6) If an event is certain to occur, its probability is__________________ , and i

6) If you know the amounts of acid and base components in the buffer you can use

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6) If the null hypothesis is not rejected, we conclude that the alternative 7) I

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