Linear Regression
... This option specifies the parameter to be solved for from the other parameters. Under most situations, you will select either Power for a power analysis or Sample Size for sample size determination. Select Sample Size when you want to calculate the sample size needed to achieve a given power and alp ...
... This option specifies the parameter to be solved for from the other parameters. Under most situations, you will select either Power for a power analysis or Sample Size for sample size determination. Select Sample Size when you want to calculate the sample size needed to achieve a given power and alp ...
Independent t-Test
... • Random selection of samples to allow for generalization of results to a target population. • Variables. IV: a dichotomous categorical variable, e.g., observation (pretest,posttest). DV: an interval or ratio scale variable. The data are dependent. • Normality. The sampling distribution of the diffe ...
... • Random selection of samples to allow for generalization of results to a target population. • Variables. IV: a dichotomous categorical variable, e.g., observation (pretest,posttest). DV: an interval or ratio scale variable. The data are dependent. • Normality. The sampling distribution of the diffe ...
Two samples comparing means
... ‘unequal variance’ version of the t statistic as well as the pooled variance version. PASW uses the second of these methods that is why you may have a non integer value for the unequal variances t statistic. If you want to see how this is achieved see Howell 2007 p.202. To know if we need to use eit ...
... ‘unequal variance’ version of the t statistic as well as the pooled variance version. PASW uses the second of these methods that is why you may have a non integer value for the unequal variances t statistic. If you want to see how this is achieved see Howell 2007 p.202. To know if we need to use eit ...
CRIM 483: Lecture 1
... To meet the goals of sampling, it is best to use probability sampling Probability sampling is a method of sampling in which each member of a population has a known chance or probability of being selected A sample is representative if the aggregate characteristics of the sample closely approximate th ...
... To meet the goals of sampling, it is best to use probability sampling Probability sampling is a method of sampling in which each member of a population has a known chance or probability of being selected A sample is representative if the aggregate characteristics of the sample closely approximate th ...
HOMEWORK 12 Due: next class 3/15
... using simulations is a reasonable way to obtain information about sampling distributions? The actual values from the simulation are very close to the theoretical values. Based on this, I would say using simulations is a reasonable way to obtain information about sampling distributions. c. Looking at ...
... using simulations is a reasonable way to obtain information about sampling distributions? The actual values from the simulation are very close to the theoretical values. Based on this, I would say using simulations is a reasonable way to obtain information about sampling distributions. c. Looking at ...