Chapter 10 Hypothesis Tests Regarding a Parameter Flashcards

1
Q

Notation for the Probability of Making a Type I Error

A

α = p(Type I error) = p(rejecting Ho when Ho is true)

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2
Q

Notation for the Probability of Making a Type II Error

A

β = p(Type II error) = p(not rejecting Ho when H1 is true)

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3
Q

Level of Significance

A

The probability of making a Type I error. Denoted by α.

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4
Q

What determines a researcher’s choice of the level of significance?

A

The choice of the level of significance depends on the consequences of making a Type I error. If the consequences are severe, the level of significance should be small (say, α=0.01). However, if the consequences are not severe, a higher level of significance can be chosen (say, α=0.05 or α=0.10).

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5
Q

What is the relation between a Type I error and a Type II error?

A

As the probability of a Type I error increases, the probability of a Type II error decreases (inverse).

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6
Q

We never reject the null hypothesis. Why?

A

Without having access to the entire population, we do not know the exact value of the parameter stated in the null hypothesis.

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7
Q

P-value

A

The probability of observing a sample statistic as extreme as or more extreme than one observed under the assumption that the statement in the null hypothesis is true.

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8
Q

Hypothesis Testing Using the P-Value Approach

A

If the probability of getting a sample statistic as extreme as or more extreme than the one obtained is small under the assumption that the statement in the null hypothesis is true, reject the null hypothesis.

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9
Q

Method for Testing Hypotheses Regarding a Population Proportion p

A
  1. Determine null and alternative hypotheses
  2. Select a level of significance
  3. Compute the test statistic and P-value
  4. Decision about the null hypothesis (If the P-value is less than alpha, reject the null hypothesis)
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10
Q

Three Conditions That Must Be Met Before Hypothesis Testing Can Proceed

A
  1. Sample is obtained from a simple random sampling
  2. np sub-zero(1 - p sub-zero) is greater than or equal to 10
  3. Sample values are independent: n less than or equal to 0.05N
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11
Q

Method for Testing Hypotheses Regarding a Population Proportion p Using TI-84 Calculator

A

STAT > TESTS > 5: 1-propZTest
Enter the values for p sub-zero, x, and n
Select the appropriate alternative hypothesis
Highlight Calculate: press ENTER

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12
Q

Testing a Hypothesis Using a Confidence Interval

A

STAT > TESTS > A: 1-propZInt
Enter values of x an n
Enter the confidence level following C-Level:
Highlight Calculate: press ENTER

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13
Q

p-naught

A

The symbol p-naught represents the population proportion according to the null hypothesis. If the null hypothesis is​ true, then p-naught = p.

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