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13 Cards in this Set

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What are the two regions of the sampling distribution of a test statistic?

Region of rejection and nonrejection

Define: critical value (hypothesis testing)

The value which divides the region of rejection and nonrejection

Define: null hypothesis. How is it symbolized? What is the opposite?

The statement which proves that a claim is true.




"H(0):"




Alternative Hypothesis: "H(1):"

Define: Type I error (hypothesis). How is it symbolized?

A "false alarm", when one falsely rejects the null hypothesis when it is true. Its symbol is a, alpha.

Define: Type II error (hypothesis). How is it symbolized?

A "missed opportunity to take corrective action", when one does not reject a false null hypothesis. Its symbol is b, beta.

Define: level of significance

The risk of committing a Type I error (a).

Define: B risk (beta). How is it calculated?

The risk of committing a Type II error. It calculates the difference between the hypothesis and actual values of the population parameter.

Define: confidence coefficient. How is it calculated?

The complement of Type I Error. It is probability of accepting H(0) when it should not be rejected and is true. "1 - a".

Define: power of a statistical test. How is it calculated?

The complement of a Type II error. It is probability of rejecting H(0) when it should be rejected and is false. "1 - b".

How does one reduce b, beta? Why?

Increase the sample size, n. This is because a large sample size enables the detection of the smallest difference between the hypothesis and the population values.

Define: p-value.

The probability of getting a test statistic equal to or more than the sample result, given that H(0) is true.




Intuitively, it is the probability that H(0) is true.

Using the p-value, what are the situations to accept or reject H(0)?

When p >= a, do not reject H(0).


When p <= a, reject H(0).

What are the assumptions for using t-distribution for hypothesis testing?

Normally distributed and population standard deviation is unknown.