# Project #31299 - Psych Stats quiz

Psych Stats Quiz online.. start asap

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50 questions

... 3 hour time limit mult choice.. i get my grade right away and want a B or higher

here are examples

The t test assumes that the independent variable affects the ____ of the populations.
 means standard deviations a and b none of the above

Refer to the following partial ANOVA results from Excel (some information is missing).
ANOVA Table

The F statistic is
 2.88 4.87 5.93 6.91

If you examined the effect of studying 0, 1, or 2 hours a day on grades, what would be the value of k?
 3 1 the value of N We don't have enough information to decide.

If the null hypothesis is true, what value is expected on average for the related-samples t statistic is?
 a. t > 1.96 b. 1.96 c. 0 d. 1

A researcher obtains t = 2.35 for a repeated-measures study using a sample of n = 8 participants. Based on this t value, what is the correct decision?
 a. reject the null hypothesis with a = .05 but not with a = .01 b. reject the null hypothesis with either a = .05 or a = .01 c. fail to reject the null hypothesis with either a = .05 or a = .01 d. cannot make a decision without additional information

If the homogeneity of variance assumption is violated in an independent groups t test, this means ____.
 the populations from which the samples were drawn have different standard deviations you should use the sign test the sample sizes should be equal and N greater than 30 to use the t test a and c all of the above

An ANOVA procedure is applied to data obtained from 6 samples where each sample contains 20 observations. The degrees of freedom for the critical value of F are
 6 numerator and 20 denominator degrees of freedom 5 numerator and 20 denominator degrees of freedom 5 numerator and 114 denominator degrees of freedom 6 numerator and 20 denominator degrees of freedom

 Sourceof Variation Sumof Squares Degreesof Freedom MeanSquare F Between Treatments 2,073.6 4 Between Blocks 6,000 5 1,200 Error 20 288 Total 29

Refer to Exhibit 13-2. The null hypothesis for this ANOVA problem is
 m1=m2=m3=m4 m1=m2=m3=m4=m5 m1=m2=m3=m4=m5=m6 m1=m2= ... =m20

The personnel department of a large corporation reported sixty resignations during the last year. The following table groups these resignations according to the season in which they occurred:

 Season Number ofResignations Winter 10 Spring 22 Summer 19 Fall 9

Test to see if the number of resignations is uniform over the four seasons.
 c2 obt = 8.41 accept the H0 critical c2  = 7.815 df = 3

A researcher is interested in whether frequencies of ice cream preference are evenly distributed across the three categories of vanilla, chocolate, and strawberry.  Please select the INCORRECT answer:

Ice Cream Preference
Vanilla                                 100
Chocolate                              70
Strawberry                            40
Total                                    210
 Chi-square table = 5.991 the expected cell frequency is 70 Chi-square obtained = 2.57 Chi-square obtained = 25.71

Find the value of the linear correlation coefficient r.

 0.214 0.109 -0.054 -0.078

Obtain the linear correlation coefficient for the data. Round your answer to three decimal places.

The data below show the test scores (y) of 6 randomly selected students and the number of hours (x) they studied for the test.

 0.224 -0.678 0.678 -0.224

A chi-square test may be used to analyze the relationship between two variables when ______.
 a. both variables are qualitative in nature b. the two variables have been measured on the same subjects c. the observations on each variable are between-subjects in  nature d. all of these

From a factorial ANOVA with factors A and B, you can determine if
 the differences among the A groups are significant; the differences among the B groups are significant; the interaction between the A variable and the B variable is significant; all of the other alternatives are correct.

hoose the strongest correlation:
 +.66 +.12 -.28. -.76

A strong curvilinear relationship between two variables might yield a Pearson's r that is:
 strong and positive. strong and negative. large in expected frequency. weak or close to 0.

A positive correlation between variables X and Y implies:
 high scores on X are associated with low scores on Y. low scores on X are associated with low scores on Y. high scores on X are associated with high scores on Y. the variables X and Y are strongly related.

Pearson's r can be used when
 two variables might be linearly related. a quasi-IV and DV are interval or ratio data. an IV and DV are interval or ratio data. All of the above are true.

When carrying out an analysis of variance with equal sample sizes, the estimated variance of the distribution of means is converted to an estimated variance of the population of individual scores by
 dividing the estimated variance between groups by the number of groups. dividing the estimated variance of the distribution of means by the number of scores in each sample. multiplying the estimated variance of the distribution of means by the number of scores in each sample. multiplying the estimated variance of the population of individual scores by the number of groups.

 Subject Mathematics Due By (Pacific Time) 05/19/2014 03:00 pm
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