Exam II Review Flashcards

1
Q

When do you reject the null hypothesis?

A

When p < a

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2
Q

What does it mean when a result is statistically significant?

A

The result is not likely to be due to chance

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3
Q

What does the p-value actually mean?

A

The probability of observing a value more extreme (more greater than, less than, or equal to) than the observed value when compared to null hypothesis

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4
Q

When do you use the z-test?

A

When you know the population variance

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5
Q

When do you use one sided values in t-tables?

A

If the alternate hypothesis is <> null

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6
Q

What do confidence intervals say about probability?

A

Nothing

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7
Q

What conclusion can you draw from a confidence interval?

A

The likelihood that a population parameter lies within this range of values is (confidence level)

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8
Q

What does a confidence interval say about other samples?

A

Nothing

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9
Q

Where do you find critical values?

A

On the table

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10
Q

Single blinded study

A

Only researchers know who is in a control

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11
Q

What do matched pairs measures?

A

Differences between a pair of similar subjects

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12
Q

What’s the “sample” and what’s the “mean” for a matched pair?

A

Sample: differences; mean: 0

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13
Q

Test statistic definition

A

Numeric measure of distance from sample value to Null Hypothesis

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14
Q

What does a higher number of degrees of freedom indicate about normality?

A

More degrees of freedom = closer to normal

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15
Q

Matched pairs experiment design

A

Each unit receives two treatments

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16
Q
A