Easy Level 1 Flashcards

1
Q

Interpreting a confidence interval

A

I am 95% confident that the interval from __ to __ captures the true __.

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2
Q

Bias

A

A sampling method is biased if it consistently produces estimates that are too small or large

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3
Q

Advantage of using stratified random sample over SRS

A

Guarantees each strata is represented

They produce better information (more precise) than an SRS

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4
Q

Describing an association in a scatterplot

A

Direction
Outliers
Form
Strength

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5
Q

Scope of inference generalizing to a larger population

A

We can generalize the results of a study to a larger population if we used a SRS from that population

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6
Q

Interpreting LSRL y-intercept

A

When the x variable is zero, the y variable is predicted to be ___

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7
Q

Interpreting stand dev

A

Measures spread by giving the typical distance from the mean

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8
Q

Chi squared tests df and expected counts

A

GOF

  • df = # of categories - 1
  • expected counts = sample size times hypothesis of each categorical proportion

Homogeneity or independence

  • df = (# rows - 1)(# columns - 1)
  • expected counts = row total-col total/ total total
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9
Q

Factors that affect power

A

Sample size
Significance level
Data collection
Effect size

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10
Q

Power

A

Probability of avoiding a type 2 error = probability of finding convincing evidence that Ha is true when it is

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11
Q

Interpreting expected value/ mean

A

If we were to repeat the chance process many times the average value of ___ would be about ____

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12
Q

Scope of inference

Cause and effect

A

If we randomly assign treatments to experimental units we can conclude cause and effect

Association is NOT causation

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13
Q

Compare distribution

A

Shape
Outliers
Center
Spread

Greater than
Less than

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14
Q

Standard error vs Margin error

A

Standard error is an estimate of how far the value of the statistic typically differs from the true value of the parameter

The margin of error estimates how far we expect the parameter to differ from the statistic

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15
Q

What affects margin of error

A

Decreases when

  • Sample size increases
  • confidence level decreases
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16
Q

What is a sampling distribution

A

The distribution of a sample statistic in all possible samples of the same size.

It describes all possible values of a statistic and how likely these values are

17
Q

What is the CLT

A

If The population distribution is not normal the sampling distribution of the sample mean will become more and more normal as N increases

18
Q

Explain p value

A

Assuming the HO is true there is a ___ probability of observing a statistic as large as or larger than one that occured alone

19
Q

Interpreting confidence interval

A

If many many samples are selected and many many confidence intervals are calculated, about ___% of them will capture the true ___