Psych 2100wq Exam 2 Questions And
Answers 100% Solved
p value the probability of obtaining a sample outcome, given that the value stated in the
null hypothesis is true. The p value for obtaining a sample outcome is compared to the level of
significance or criterion for making a decision.
beta type II error
t-statistic an inferential statistic used to determine the number of standard deviations in a t
distribution that a sample mean deviates from the mean value or mean difference stated in the
null hypothesis
degrees of freedom for a t distribution are equal to the degrees of freedom for sample
variance for a given sample: n-1. Each t distribution is associated with specified degrees of
freedom; as sample size increases, the degrees of freedom also increases
estimated standard error (Sm) an estimate of the standard deviation of a sampling
distribution of sample means selected from a population with an unknown variance. It is an
, estimate of the standard error or the standard distance that sample means can be expected to
deviate from the value of the population mean stated in the null hypothesis
single sample design comparing one sample to a known population mean
independent samples t comparing 2 samples to see if they differ (ex: do people who
exercise sleep better than those who do not exercise?)
pooled variance the combined sample variance of two samples. when the sample size is
unequal, the variance in each group or sample is weighted by its respective degrees of freedom
related samples t an inferential statistic used to test hypotheses concerning two related
samples selected from populations in which the variance in one or both populations is unknown
carry-over effects in a within subjects design, effects from the first condition can carry
over to the next condition
difference score a score or value obtained by subtracting one score from another
Answers 100% Solved
p value the probability of obtaining a sample outcome, given that the value stated in the
null hypothesis is true. The p value for obtaining a sample outcome is compared to the level of
significance or criterion for making a decision.
beta type II error
t-statistic an inferential statistic used to determine the number of standard deviations in a t
distribution that a sample mean deviates from the mean value or mean difference stated in the
null hypothesis
degrees of freedom for a t distribution are equal to the degrees of freedom for sample
variance for a given sample: n-1. Each t distribution is associated with specified degrees of
freedom; as sample size increases, the degrees of freedom also increases
estimated standard error (Sm) an estimate of the standard deviation of a sampling
distribution of sample means selected from a population with an unknown variance. It is an
, estimate of the standard error or the standard distance that sample means can be expected to
deviate from the value of the population mean stated in the null hypothesis
single sample design comparing one sample to a known population mean
independent samples t comparing 2 samples to see if they differ (ex: do people who
exercise sleep better than those who do not exercise?)
pooled variance the combined sample variance of two samples. when the sample size is
unequal, the variance in each group or sample is weighted by its respective degrees of freedom
related samples t an inferential statistic used to test hypotheses concerning two related
samples selected from populations in which the variance in one or both populations is unknown
carry-over effects in a within subjects design, effects from the first condition can carry
over to the next condition
difference score a score or value obtained by subtracting one score from another
