Chapters 8, 9, 10 terms Flashcards

1
Q

A point estimate

A

is a summary statistic from a sample that is just one number used as an estimate of the population parameter

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2
Q

An interval estimate

A

is based on a sample statistic and provides a range of plausible values for the population parameter.

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3
Q

confidence interval

A

is an interval estimate based on a stample statistic; it includes the population mean a certain percentage of the time if the same population is sampled from repeatedly.

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4
Q

effect size

A

indicates the size of a difference and is unaffected by sample size.

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5
Q

Cohen’s d

A

is a measure of effect size that expresses the difference between two means in terms of standard deviation.

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6
Q

Meta-analysis

A

is a study that involves the calculation of a mean effect size from the individual effect sizes of more than one study.

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7
Q

statistical power

A

is a measure of the likelihood that we will reject the null hypothesis, given that the null hypothesis is false.

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8
Q

t statistic

A

indicates the distance of a sample mean from a population mean in terms of the estimated standard error.

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9
Q

single-sample t test

A

a hypothesis test in which we compare a sample from which we collect data to a population for which we know the mean but not the standard deviation.

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10
Q

degrees of freedom

A

is the number of scores that are free to vary when we estimate a population parameter from a sample.

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11
Q

paired-samples t test

A

is used to compare two means for a within-group study, a situation in which every partner is in both samples; also called a dependent-samples t test.

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12
Q

replication

A

is the repetition of a study that gives us confidence that a particular observation is true.

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13
Q

independent samples t test

A

is used to compare two means for a between-groups design, a situation in which each participant is assigned to only one condition.

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14
Q

pooled variance

A

is a weighted average fo the two estimates of variance; one from each sample; that are calculated when conducting an independent-samples t test.

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15
Q

error bars

A

are vertical lines added to bars or dots on a graph that represent the variability of those data and give us a sense of how precise an estimate summary statistic is.

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