Confidence Interval Flashcards

1
Q

The most frequently advocated alternative to NHST is

A

to report effect sizes with confidence intervals.

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2
Q

Can CIs be used a an approach to statistical tests?

A

No, but used with NHST

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3
Q

What do CIs provide?

A

With a degree of certainty, the range within which a population value is likely to fall given sampling error.

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4
Q

What does a 95% CI mean? (100 sample ex.)

A

if we were to take 100 samples, we expect that for 95 of those, the mean would be within a given range.

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5
Q

Obtain confidence interval

A

To obtain this confidence interval, add and subtract the margin of error from the sample mean. This result is the upper limit and the lower limit of the confidence interval.

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6
Q

statistically significant for Ci

A

A statistically significant result is where the null hypothesis is outside of the CIs.

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7
Q

Ci definition

A

Communicated how accurate our estimate is likely to be

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8
Q

Variation

A

Greater variance leads to wider Ci

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9
Q

Small samples =

A

More variation

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10
Q

Large sample =

A

Smaller confidence level

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11
Q

If Ci = 95%, we can be sure that ..

A

The true parameter lies within interval

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12
Q

1.96

A

= z value for 95% Ci

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13
Q

Bigger confidence level =

A

Wider width

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14
Q

Bigger sample =

A

Narrow Ci

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15
Q

Bigger standard deviation

A
  • bigger Ci
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16
Q

How to get the Margin of error

A

= z* . Population standard deviation / √n

17
Q

Confidence interval calculation

A

= sample mean +/- margin of error (either scores are the lower and upper limit of interval)

18
Q

Population standard deviation v sample sd

A

The population standard deviation is a parameter, which is a fixed value calculated from every individual in the population. A sample standard deviation is a statistic.

19
Q

What is NHST

A

Null hypothesis significance testing : is a method of statistical inference by which an experimental factor is tested against a hypothesis of no effect or no relationship based on a given observation.

20
Q

Why does a bigger sample = narrow width Ci

A

Increasing the sample size decreases the width of confidence intervals, because it decreases the standard error.