Chapters 8, 9, 10 terms Flashcards
A point estimate
is a summary statistic from a sample that is just one number used as an estimate of the population parameter
An interval estimate
is based on a sample statistic and provides a range of plausible values for the population parameter.
confidence interval
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.
effect size
indicates the size of a difference and is unaffected by sample size.
Cohen’s d
is a measure of effect size that expresses the difference between two means in terms of standard deviation.
Meta-analysis
is a study that involves the calculation of a mean effect size from the individual effect sizes of more than one study.
statistical power
is a measure of the likelihood that we will reject the null hypothesis, given that the null hypothesis is false.
t statistic
indicates the distance of a sample mean from a population mean in terms of the estimated standard error.
single-sample t test
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.
degrees of freedom
is the number of scores that are free to vary when we estimate a population parameter from a sample.
paired-samples t test
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.
replication
is the repetition of a study that gives us confidence that a particular observation is true.
independent samples t test
is used to compare two means for a between-groups design, a situation in which each participant is assigned to only one condition.
pooled variance
is a weighted average fo the two estimates of variance; one from each sample; that are calculated when conducting an independent-samples t test.
error bars
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.