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Final Exam Review!

Total questions: 25

Worksheet time: 2hrs 20mins

Name
Class
Date
1.

Martha is curious if sunshine has an effect on happiness. She plans on measuring happiness using a scale from 1 (not happy at all) to 5 (very happy). What scale of measurement is the dependent variable?

a)

interval

b)

ratio

c)

ordinal

d)

nominal

2.

What is the mode for this histogram?

a)

4

b)

6

c)

5.13

d)

7

3.

Jack wants to know how many people in his class are taller than him. Jack is 67 inches. What percentage of the class is taller than jack?

Sample mean= 64.67 in

Sample Standard deviation= 3.43

a)

78%

b)

68%

c)

25%

d)

0

4.

(a)   is the percentage of scores equal to or below the given raw score

5.

If 12% is due to chance and 88% is not, are the results significant?

a)

I have no idea

b)

No

c)

Yes

6.

A type two error is when.....

4 lines
7.

Dr. Palumbo wants to know if certain foods affect happiness more than others. She randomly assigns 10 people to eat tomatoes, 10 different people to eat berries, and 10 different people to eat an ice cream sundae. She measures the level of happiness by counting the number of times they smile while eating the food. Using the SPSS data file Final.sav, determine if poc hoc tests are needed. 

a)

Poc hoc tests are needed

b)

Poc hoc tests are not needed

c)

Poc hoc tests are needed for some

d)

What is a poc hoc test?

8.

    After discovering a new passion for psychological research, Guy Fieri decides to find out if people who regularly dine at his restaurant report more overall life satisfaction, in comparison to the general population. Because he is known for his robust flavors and charismatic personality, Guy predicts that those who eat at his restaurant are more satisfied with their life than the general population. He knows that the average score for the general population on the Life Satisfaction Assessment is 60.21, (σ= 10). After giving the Life Satisfaction Assessment to his regular customers, Guy find that their average score is 82.47.

Which type of test would you run?

a)

Single samples t-test

b)

single sample z test

c)

independent sample t test

d)

No test can be run

9.

Jessica is comparing a sample to a population where the population mean is known but not the standard deviation. She has 50 participants in her sample, what are the degrees of freedom.

a)

50

b)

48

c)

49

d)

51

10.

1.       Dr. Hipp wants to know if there is a difference between energy levels before a rock concert, in comparison to after a rock concert. To measure energy levels, Dr. Hipp distributes a questionnaire to 30 random people at a Pink Freud concert, a new and upcoming band. She asks them to rate their energy from (1= very unenergetic) to (5= very energetic). Once the concert is over, she has the same participants complete the same questionnaire.

What statistical test should Dr. Hipp run and

is this a one-tailed or two-tailed hypothesis?

a)

Correlated groups t test and one tailed

b)

single sample t test

and two tailed

c)

Correlated groups t test and two tailed

d)

two way anova

11.

Dr. Hipp wants to know if there is a difference between energy levels before a rock concert, in comparison to after a rock concert. To measure energy levels, Dr. Hipp distributes a questionnaire to 30 random people at a Pink Freud concert, a new and upcoming band. She asks them to rate their energy from (1= very unenergetic) to (5= very energetic). Once the concert is over, she has the same participants complete the same questionnaire. (Use variables “EnergyBefore” and “EnergyAfter” in SPSS dataset)

Using exam2reviewdata, which is the correct complete summary statment?

a)

Energy levels before a rock concert (M= 4.13, SD= 0.73) were not significantly different compared to energy levels after a rock concert (M= 1.90, SD= 0.66), t (29)= 14.97, p < .05, d= 2.73.

b)

  Energy levels before a rock concert (M= 4.13, SD= 0.73) were significantly different compared to energy levels after a rock concert (M= 1.90, SD= 0.66), t (29)= 14.97, p < .05.

c)

    Energy levels before a rock concert (M= 4.13, SD= 0.73) were significantly different compared to energy levels after a rock concert (M= 1.90, SD= 0.66), t (29)= 14.97, p= .00, d= 2.73.

d)

Energy levels before a rock concert (M= 4.13, SD= 0.73) were not significantly different compared to energy levels after a rock concert (M= 1.90, SD= 0.66), t (29)= 14.97, p = .05, d= 2.73.

12.

Dr. Ellis wants to see if there is a relationship between the number of hours of studying per day to exam scores. Using the SPSS data file Final.sav, determine the strength of the correlation. ( weak, medium, and strong). 

(a)  

13.

Dr. Phee thinks that students who consume a bag of fruit snacks will do better on their stats final. He has one group of 20 students eat a bag of fruit snacks then take the final. He then has another group of 20 students take the final without eating the fruit snacks. Assuming a symmetrical distribution, what statistical test would he run?

a)

No test can be run

b)

independent samples t test

c)

correlated groups t test

d)

z test

14.

What is the difference between a one-way and two-way ANOVA?

a)

Two way has 2 dependent variables

b)

One way has two IVs and 3 or more DVs

c)

No clue

d)

Two way has two IVs where one way has one IV

15.

Dr. Spencer wants to know if type of dog (golden doodle vs. poodle) and dog gender (male vs female) influences levels of happiness in their owners.

- What is the factorial design?

- what are the IVs and their levels?

a)

- 1X1

- golden doodle and poodle

b)

-2X2

- type of dog and dog gender

c)

-2X2

- type of dog (golden doodle v poodle) and dog gender (male v female)

d)

- 2X2X2X2

- golden doodle, poodle, male, female

16.

A recent survey found that students living on a college campus in Connecticut consume an average of 3 cups of coffee per day. I believe that Eastern students drink significantly more often than this. I surveyed 40 Eastern students and asked them how much coffee they drink per day.  Using the SPSS data file Final.sav, determine if my hypothesis was significant.

a)

It was

b)

It was not

c)

I'm not sure

17.

In a 4X2 design how many interaction effect are possible?

a)

6

b)

8

c)

2

d)

1

18.

Dr. Bright hypothesizes that both the brightness of lightbulbs in an office and the number of light bulbs in an office impact worker productivity. He has four conditions in his study:

(1)4 bright lightbulbs

(2)4 dim lightbulbs

(3)1 bright lightbulb

(4)1 dim lightbulb

Participants are randomly assigned to one of these four groups, and number of math problems successfully completed in the office in 30 minutes is measured.

Does the effect of brightness on productivity depends on number of lights?

a)

no

b)

yes

c)

maybe

19.

Dr. Fay wants to see if there is a relationship between amount of studying and test scores. Would she use a correlation or regression analysis?

a)

Correlation

b)

neither

c)

regression

20.

In the equation Y'= bx+a

What does each letter stand for?

a)

Y'= predicted value

b= slope of the line

x= individuals score

a= y intercept

b)

Y'= y intercept

b= individuals score

x= predicted value

a= constant

c)

Y'= predicted value

b= slope of the line

x= individuals score

a= IV

21.

Based on the regression analysis output, what would be the predicted self control score for Ryan, who waits 8 minutes.

4 lines
22.

(a)   is used when the scale of measurement for DV is ordinal data with TWO levels, distribution is not normal and have independent observations.

23.

Using the table, what percentage of employees worked 8 hours or more? (8 ≥)

a)

21.7%

b)

78.3%

c)

76.7%

d)

23.3%

24.

If variable is nominal, use _ and report the frequencies for each category.

If variable ordinal, use median and _.

If variable is normally distributed and interval/ratio, use mean and _.

If variable is _ and interval/ratio, use median and range.

a)

mode

range

median

normally distributed

b)

mode

standard deviation

range

skewed

c)

mean

standard deviation

standard deviation

normally distributed

d)

mode

range

standard deviation

skewed

25.

Based on this table, what is the Cohen's d effect size?

(a)