Chapter 5: Foundations For Inference Flashcards

(20 cards)

1
Q

What is a point estimate?

A

A sample statistic used to estimate a population parameter.

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2
Q

What is sampling error?

A

The difference between a point estimate and the true population parameter.

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3
Q

What does bias refer to in sampling?

A

A systematic tendency to over- or under-estimate the true parameter.

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4
Q

What is the Central Limit Theorem (CLT)?

A

It states that the sampling distribution of the sample proportion is approximately normal.

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5
Q

What is the standard error formula for a proportion?

A

SE = sqrt[p(1 - p) / n]

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6
Q

When can the CLT be applied?

A

When sampled observations are independent and there are at least 10 expected successes and failures.

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7
Q

What is a confidence interval?

A

A range of plausible values for the population parameter.

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8
Q

What is the formula for a 95% confidence interval?

A

Point estimate ± 1.96 × SE

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9
Q

How does increasing the confidence level affect the interval?

A

It makes the interval wider.

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10
Q

What does a 95% confidence level mean?

A

If we repeated the sampling process many times, about 95% of the intervals would contain the true parameter.

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11
Q

What is a hypothesis test?

A

A method for testing a claim about a population parameter.

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12
Q

What is the null hypothesis (H0)?

A

The default assumption, typically that there is no effect.

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13
Q

What is the alternative hypothesis (HA)?

A

The claim we are testing for, indicating a difference or effect.

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14
Q

What is a p-value?

A

The probability of observing data as extreme or more if the null hypothesis is true.

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15
Q

When do we reject the null hypothesis?

A

When the p-value is less than the significance level (typically 0.05).

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16
Q

What is a Type I Error?

A

Rejecting the null hypothesis when it is actually true.

17
Q

What is a Type II Error?

A

Failing to reject the null hypothesis when it is actually false.

18
Q

What is a one-sided test?

A

A hypothesis test where the alternative hypothesis is directional.

19
Q

What is a two-sided test?

A

A hypothesis test where the alternative considers deviations in both directions.

20
Q

What does increasing the sample size do to the standard error?

A

It decreases the standard error.