Unit 2 stats test

To construct an interval estimate for the difference between the means of two populations when the standard deviations of the two populations are unknown and it can be assumed the two populations have equal variances, we must use a t distribution with (let n1 be the sample 1 and n2 be sample size 2)

(n1+n2-1) degrees of freedom

Generally, the __________________ sample procedure for inferences about two population means provide better precision than the _____________ sample approach

matched, independent

The number of degrees of freedom associated with the chi-square distribution in a test of independence is

number of rows minus 1 times numbers of columns minus 1

The process of allocating the total sum of squares and degrees of freedom to the various components is called

partitioning

The test statistic for goodness of fit has a chi-square distribution with k-1 degrees of freedom provided that the expected frequencies for all categories are

5 or more

The F ratio in a completely randomized ANOVA is given by

MSTR/MSE

In an analysis of variance where the total sample size for the experiment is N and the number of populations is k, the mean square due to error is

SSE/ (N-k)

When an analysis of variance is performed on sample drawn from k populations, the mean square due to treatments (MSTR) is

SSTR/(k-1)

The test for goodness of fit and test of independence are designed for use with

categorical data

In the ANOVA, treatments refer to

different levels of a factor

An experimental design that permits simultaneous statistical conclusions about two or more factors is a

factorial design

A statistical test conducted to determine whether to reject or retain a hypothesized probability distribution for a population is known as a

goodness of fit test

The required condition for using an ANOVA procdure on data from several populations is that the

sample poulations have equal variances

In the analysis of variance procedure (ANOVA), "factor" refers to

the independent variable

The ANOVA procedure is a statistical approach for determining whether or not the means of

three or more populations are equal

In a factorial experiment, if there are x levels of factor A and y levels of factor B, there is a total of

xy treatment combinations