PSY200 Final

statistic

A researcher uses an anonymous survey to investigate the study habits of American college students. Based on the set of 56 surveys that were completed and returned the researcher finds that these students spend an average of 4.1 hours each week working on course material outside of class.

For this study, the average of 4.1 hours is an example of  a________.

sample

A researcher uses an anonymous survey to investigate the study habits of American college students. Based on the set of 56 surveys that were completed and returned the researcher finds that these students spend an average of 4.1 hours each week working on course material outside of class.

For this study, the set of 56 students who returned surveys is an example of a ________

nominal

Identify the scale of measurement of the following as nominal, ordinal, interval, or ratio.

:flavors of frozen yogurt

sampling error

The average verbal SAT score for the entire class of entering freshmen is 530. However, if you select a sample of 20 freshmen and compute their average verbal SAT score you probably will not get exactly 530. What statistical concept is used to explain the natural difference that exists between a sample average and the corresponding population average?

population

A researcher uses an anonymous survey to investigate the study habits of American college students. The entire group of American college students is an example of a __________.

bimodal

Describe the probable shape—normal, bimodal, positively skewed (right-skewed), or negatively skewed (left-skewed)—for the following distribution.

:A frequency distribution of incomes for a group composed of equal numbers of skilled and unskilled wage earners. 

five different classes of religious affiliation are being distinguished

In a survey of religious affiliation, numbers are assigned as follows:

1‑None, 2‑Christian, 3‑Jewish, 4‑Buddhist, 5‑Other

Therefore it is appropriate to conclude that…

generalizing

A single word that best describes inferential statistics is

only random error

In ANOVA, regardless of whether the null hypothesis is true or false, variability within groups reflects

both a) and b)

in ANOVA, rejection of the overall null hypothesis usually raises some additional questions regarding

a) the estimated size of the overall effect.

b) which differences between population means cause rejection of the overall null hypothesis.

c) both a) and b)

d) neither a) nor b)

two-variable chi-square test with 4 degrees of freedom

each person in a sample of 180 male college students is cross classified in terms of his own political preference (Democrat, Republican, Other) and that of his father (Democrat, Republican, Other). When using a chi-square test, the statistical test can be described as a

one variable chi-square test with 2 degrees of freedom.

two-variable chi-square test with 4 degrees of freedom.

one variable chi-square test with 179 degrees of freedom.

two-variable chi-square test with 179 degrees of freedom.

variability between groups will tend to exceed variability within groups

In ANOVA, if a treatment effect exists,

1/3 (i.e., one-third)

In the one-variable chi-square test, the null hypothesis makes a statement about two or more population proportions. If the null hypothesis specifies that voters are equally likely to prefer three political candidates for governor, each hypothesized population proportion equals

small enough to qualify as a common outcome

In chi-square test, if the null hypothesis is true, discrepancies between observed and expected frequencies will tend to be

more closely approximate a straight line

Given that the relationship between GPA and IQ is stronger in high school than in college, the dot cluster for high school (compared to that for college) should

imperfect

A predicted college GPA is unlikely to coincide with a student's true GPA because the relationship between SAT score and college GPAs is

negative

Without doing any calculations, describe the relationship for the following pairs of observations.
                     X        Y
                     6       118
                   12       109
                     3       140
                   10       111
                     1       142

18.4

A researcher is studying the factors that influence test anxiety among college students. Based on data from a large sample, the following multiple regression equation was developed:

Test Anxiety Score = 11 + 0.90*X1 + 0.50*X2

Where

• X1: Number of hours spent studying per week

• X2: Number of hours of sleep the night before the test

• Test Anxiety Score is measured on a standardized scale (higher scores indicate more anxiety)

Using this model, what is the predicted test anxiety score for a student who studies 6 hours per week and sleeps 4 hours the night before the test?

a slight tendency for more anxious students to be slower problem solvers

You're told that, for a large group of students, an r of .23 describes the relationship between anxiety score and time to complete a problem solving task. This implies that there probably is

a negative relationship

A dot cluster that tilts from upper left to lower right reflects