Exam 3 review Flashcards

1
Q

What is the population distribution?

A

the distribution of a particular characteristic or variable among all individuals

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2
Q

What is a sampling distribution?

A

a probability distribution of a statistic (such as the sample mean)

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3
Q

Is the shape of a population distribution always normal?

A

No

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4
Q

What does the central limit theorem say about the shape of a sampling distribution?

A

That it will approach a normal distribution as n increases and can be considered normal for n >= 30

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5
Q

What is a confidence interval?

A

The probability that combining a sample statistic with a margin of error that produces a range of values produces an interval containing the population parameter (95% confident that 0.8435 < P < 0.8720)

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6
Q

what is the t distribution and when is it used?

A

Similar to normal distribution bit it has thicker tails and changes with sample size n.

used for estimating population parameters for small sample sizes or unknown variances.

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7
Q

what are two ways to make the margin of error smaller?

A

Increase sample size or lower confidence interval

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8
Q

what is a test of significance?

A

a test comparing observed data with a claim whose truth is being questioned

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8
Q

what is the p-value?

A

the probability of obtaining the test statistic or a more significant result under the null hypothesis

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8
Q

What are the four steps in a test of significance?

A
  1. Identify parameter and hypotheses
  2. check if normal
  3. Find test statistic and p-value and evaluate p-value
  4. reject or not reject null hypothesis
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9
Q

what is the test statistic?

A

describes how many standard errors the point estimate falls from the null hypothesis

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9
Q

what is the level of significance, alpha?

A

the maximum allowed probability of rejecting null hypothesis when it is actually true

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10
Q

when do we reject/not reject the null hypothesis?

A

When P-value <= alpha, reject

When P-value > alpha, don’t reject

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11
Q

What is a point estimate?

A

a best guess for the parameter using p hat

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12
Q

When is a hypothesis test right tailed?

A

H_a: P > P_0

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13
Q

When is a hypothesis test left tailed?

A

H_a: P < P_0

14
Q

When is a hypothesis test two tailed?

A

H_a: P != P_0