Test Statistics Flashcards

1
Q

What is the goal of hypothesis testing?

A

To make decisions about a population parameter based on sample data.

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2
Q

What does it mean to test ‘simple versus simple’ hypotheses?

A

To test two specific values for a parameter, such as H0: μ = 3 vs. HA: μ = 5.

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3
Q

What is a type I error?

A

Rejecting the null hypothesis when it is actually true.

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4
Q

What is the significance level (alpha) of a test?

A

The probability of making a type I error.

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5
Q

What are common choices for alpha?

A

0.05, 0.01, and 0.1.

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6
Q

What is the form of the test for H0: μ = 3 vs. HA: μ = 5?

A

Reject H0 if sample mean x̄ > c, where c is a critical value.

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7
Q

What is the form of the test for H0: μ = 5 vs. HA: μ = 3?

A

Reject H0 if sample mean x̄ < c, where c is a critical value.

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8
Q

What affects the probability of type II error?

A

The critical value c; increasing c makes type II error more likely.

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9
Q

What affects the probability of type I error?

A

The critical value c; decreasing c makes type I error more likely.

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10
Q

How is the sampling distribution of x̄ determined?

A

x̄ is normally distributed with mean μ and variance σ²/n.

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11
Q

What happens when you standardize x̄?

A

You convert it to a standard normal using Z = (x̄ - μ) / (σ/√n).

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12
Q

What is the role of the standard normal distribution in testing?

A

It is used to find critical values and rejection regions.

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13
Q

How do you find a critical value using R?

A

Use qnorm(1 - alpha) for right-tailed tests, or qnorm(alpha) for left-tailed.

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14
Q

What is the test statistic formula for x̄?

A

Z = (x̄ - μ) / (σ / √n).

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15
Q

What does a critical value represent?

A

A cutoff that defines the rejection region for a hypothesis test.

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16
Q

What is the conclusion rule in hypothesis testing?

A

Reject H0 if the test statistic falls in the rejection region.

17
Q

What is the rejection region for alpha = 0.05 (left-tailed)?

A

x̄ < critical value found using qnorm(0.05).

18
Q

Why is hypothesis testing not foolproof?

A

Because random samples can lead to wrong conclusions even when tests are correctly performed.

19
Q

What is the test conclusion for H0: μ = 5 vs. HA: μ = 3 with n = 10, σ² = 4, α = 0.05?

A

Reject H0 if x̄ < 3.9596.

20
Q

What is the value of the critical point Z0.05?