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Psychological Statistics

Total questions: 78

Worksheet time: 3hrs 40mins

Name
Class
Date
1.

It refers to a range of techniques and procedures for analyzing, interpreting, displaying, and making decisions based on data.

a)

Mathematics

b)

Graphs

c)

Statistics

d)

Comparing Distributions

2.

is simply a characteristic or feature of the thing we are interested in understanding.

a)

Statistics

b)

Sample

c)

population

d)

variable

3.

Is the variable is manipulated by the experimenter. (small letters)

(a)  

4.

A variable that can be measured.(small)

(a)  

5.

Two basic divisions of statistics are

a)

inferential and descriptive.

b)

population and sample.

c)

sampling and scaling.

d)

mean and median.

6.

are those that express a qualitative attribute such as hair color, eye color, religion, favorite movie, gender, and so on.

(a)  

7.

are those variables that are measured in terms of numbers.

(a)  

8.

Check that apply Descriptive statistics

a)

allow random assignment to experimental conditions.

b)

use data from a sample to answer questions about a population.

c)

summarize and describe data.

d)

allow you to generalize beyond the data at hand.

9.

do not imply any ordering among the responses.

a)

Nominal

b)

Ordinal

c)

Interval

d)

Ratio

10.

It is an interval scale with the additional property that its zero position indicates the absence of the quantity being measured. 

a)

Nominal

b)

Ordinal

c)

Interval

d)

Ratio

11.

allow comparisons of the degree to which two subjects possess the dependent variable

a)

Nominal

b)

Ordinal

c)

Interval

d)

Ratio

12.

numerical scales in which intervals have the same interpretation throughout. 

a)

Nominal

b)

Ordinal

c)

Interval

d)

Ratio

13.

Which of the following is qualitative variables?

a)

height measured in number of feet

b)

gender

c)

number of days it snowed

d)

weight measured in number of pounds

e)

hair color

14.

In a study of the effect of handedness on athletic ability, participants were divided into three groups: right-handed, left-handed, and ambidextrous. Athletic ability was measured on a 12-point scale. The independent variable is _________; the number of levels of the independent variable is _______.

a)

athletic ability; three

b)

athletic ability; twelve

c)

handedness; three

d)

handedness; twelve

15.

For the scores 3, 5, 7, 9, 12, 21, 25, 30, calculate the 25th percentile based on "Definition 3."

(a)  

16.

requires every member of the population to have an equal chance of being selected into the sample.

(a)  

17.

 quickly gather data and get a general idea of how things work before fully investing a lot of time and money into well-designed research projects with proper sampling

a)

Stratified Sampling

b)

Inferential Sampling

c)

Descriptive Sampling

d)

Convenience Sampling

18.

This research design involves observing things as they occur naturally and recording our observations as data. 

a)

experimental design

b)

quasi-experimental design

c)

non-experimental design

d)

qualitative design

19.

This research design is defined by the use of random assignment to treatment conditions and manipulation of the independent variable.

a)

experimental design

b)

quasi-experimental design

c)

correlational research

d)

quantitative design

20.

This research involves manipulating the independent variable but not randomly assigning people to groups.

a)

experimental design

b)

quasi-experimental design

c)

non-experimental design

d)

correlational research

21.

Identify the scale of measurement for the following: military title -- Lieutenant, Captain, Major.

a)

Nominal

b)

Ordinal

c)

Interval

d)

Ratio

22.

Identify the scale of measurement for the following categorization of clothing: hat, shirt, shoes, pants

a)

Nominal

b)

Ordinal

c)

Interval

d)

Ratio

23.

Identify the scale of measurement for the following: heat measured in degrees centigrade.

a)

Nominal

b)

Ordinal

c)

Interval

d)

Ratio

24.

A score on a 5-point quiz measuring knowledge of algebra is an example of a(n)

a)

Nominal

b)

Ordinal

c)

Interval

d)

Ratio

25.

City of birth is an example of a(n)

a)

Nominal

b)

Ordinal

c)

Interval

d)

Ratio

26.

Enumerate the graph distributions that we can use in qualitative variables.

(just use "," to separate your answers).

(a)  

27.

Enumerate the graphing distributions for quantitative variables.

(a)  

28.

A frequency distribution contains the frequency of every value in the distribution.

a)

True

b)

False

29.

A symmetric distribution

a)

has equal positive and negative skews.

b)

has no skew.

c)

can have either positive or negative skew, but not both.

30.

The following distribution has

a)

positive skew

b)

negative skew

c)

no skew

31.

Compute

(a)  

32.

Compute

(a)  

33.

Which of the following is the Upper Hinge?

(capital letter)

(a)  

34.

Which of the following is the Median?

a)

E

b)

F

c)

D

d)

G

35.

The letter C is?

a)

Upper Hinge

b)

Inner Fence

c)

Upper Adjacent

d)

H-Spread

36.

The H-Spread is?

a)

C-H

b)

D-G

c)

E-F

d)

H-Spread

37.

for what formula is this?

a)

Population variance

b)

Population deviation

c)

Sample variance

d)

Sample deviation

38.

what formula is this?

a)

Population variance

b)

Population deviation

c)

Sample variance

d)

sample deviation

39.

what formula is this?

a)

Population variance

b)

Population deviation

c)

Sample variance

d)

sample deviation

40.

what formula is this?

a)

Population variance

b)

Population deviation

c)

Sample variance

d)

sample deviation

41.

the process of collecting data in a systematic manner, examining those data, and making inferences from them

a)

Operational definition

b)

Statistics

c)

Case study

d)

Variable

42.

any measurable characteristic of a person, environment, or experimental treatment that varies from person to person, environment to environment, or experimental situation to experimental situation

a)

Independent variable

b)

Dependent variable

c)

variable

d)

data

43.

a number that represents a construct that does not change

a)

constant

b)

construct

c)

dependent variable

d)

independent variable

44.

an outcome of interest (e.g., some aspect of behavior) that is observed and measured by a researcher to assess the effects of the independent variable.

a)

constant

b)

construct

c)

dependent variable

d)

independent variable

45.

- the variable that an experimenter uses to describe or explain the differences in the dependent variable or to cause changes in the dependent variable.

a)

constant

b)

construct

c)

dependent variable

d)

independent variable

46.

- the variable that an experimenter uses to describe or explain the differences in the dependent variable or to cause changes in the dependent variable.

a)

Subject Variable

b)

Manipulated or Experimental Variable

c)

Data

d)

Data Set

47.

the type that the experimenter systematically controls or manipulates and to which the subjects are assigned.

a)

Subject Variable

b)

Manipulated or Experimental Variable

c)

Data

d)

Data Set

48.

numbers or measurements that are collected as a result of observations.

a)

Subject Variable

b)

Manipulated or Experimental Variable

c)

Data

d)

Data Set

49.

- a collection of measurements or observations

a)

Subject Variable

b)

Manipulated or Experimental Variable

c)

Data

d)

Data Set

50.

a complete set of individuals, objects, or measurements having some common observable characteristic.

a)

Population

b)

Sample

c)

Parameter

d)

Statistic

51.

a subset of a population that shares the same characteristics as the population.

a)

Population

b)

Sample

c)

Parameter

d)

Statistic

52.

a number resulting from the manipulation of sample data according to certain specified procedures;

a)

Population

b)

Sample

c)

Parameter

d)

Statistic

53.

- a value summarizing a measurable characteristic of a total population that is estimated based on the value of a statistic

a)

Population

b)

Sample

c)

Parameter

d)

Statistic

54.

a subset of a population selected in such a way that each member of the population has an equal an independent opportunity to be selected.

a)

Random Assignment

b)

Simple Random Sample

c)

Samplibg Error

d)

Margin Error

55.

assigning subjects to different treatment conditions in such a way that each subject has an equal and independent opportunity to be placed in each treatment condition

a)

Random Assignment

b)

Simple Random Sample

c)

Samplibg Error

d)

Margin Error

56.

is the naturally occurring discrepancy, or error, that exists between a sample statistic and the corresponding population parameter.

a)

Random Assignment

b)

Simple Random Sample

c)

Samplibg Error

d)

Margin Error

57.

selection of the samples based on the convenience of the researcher.

a)

Convenience Sampling

b)

Purposive Sampling

c)

Quota Sampling

d)

Snow

58.

the selection of the sample is based on the selective judgment of the researcher

a)

Convenience Sampling

b)

Purposive Sampling

c)

Quota Sampling

d)

Snow

59.

The researcher identifies population sections or strata and decides how many participants are required from each section.

a)

Convenience Sampling

b)

Purposive Sampling

c)

Quota Sampling

d)

Snowball sampling

60.

a technique wherein initial sample members are asked to refer other people who meet the criteria required by the researcher.

a)

Convenience Sampling

b)

Purposive Sampling

c)

Quota Sampling

d)

Snowball sampling

61.

most basic probability sampling technique.

a)

Simple Random Sampling

b)

Systematic Sampling

c)

Interval Sampling

d)

Stratified Sampling

62.

- a process of selecting the kth element in the population until the desired number of samples is attained.

a)

Simple Random Sampling

b)

Systematic Sampling

c)

Interval Sampling

d)

Stratified Sampling

63.

standard distance between element chosen for the sample.

a)

Simple Random Sampling

b)

Systematic Sampling

c)

Interval Sampling

d)

Stratified Sampling

64.

the population is divided into subgroups or strata. After the stratification, an appropriate number of elements are selected from each stratum randomly.

a)

Simple Random Sampling

b)

Systematic Sampling

c)

Cluster Sampling

d)

Stratified Sampling

65.

– is a method of selecting cluster from a population that is large and widely dispersed over a wide geographical area.

a)

Simple Random Sampling

b)

Systematic Sampling

c)

Cluster Sampling

d)

Stratified Sampling

66.

- a set of statistical procedures used to organize, summarize, and present the data collected in a research project.

a)

Descriptive Statistics

b)

Inferential Statistics

c)

Discrete Variable

d)

Continuous Variable

67.

- a collection of statistical procedures that allow one to make generalizations about population parameters based on sample statistics,

a)

Descriptive Statistics

b)

Inferential Statistics

c)

Discrete Variable

d)

Continuous Variable

68.

consists of separate, divisible categories. No values can exist between two neighboring categories.

a)

Descriptive Statistics

b)

Inferential Statistics

c)

Discrete Variable

d)

Continuous Variable

69.

- there are an infinite number of possible values that fall between any two observed values.

a)

Descriptive Statistics

b)

Inferential Statistics

c)

Discrete Variable

d)

Continuous Variable

70.

Boundaries of intervals for scores that are represented on a continuous number line.

a)

Real Limits

b)

Range

c)

Relative frequency

d)

Upper Limit

71.

consists of a set of categories that have different names

a)

Nominal

b)

Ordinal

c)

Interval

d)

Ratio

72.

consists of a set of categories that are organized in an ordered sequence.

a)

Nominal

b)

Ordinal

c)

Interval

d)

Ratio

73.

-consists of ordered categories that are all data of exactly the same size.

a)

Nominal

b)

Ordinal

c)

Interval

d)

Ratio

74.

- is an interval scale with the additional feature of an absolute zero points.

a)

Nominal

b)

Ordinal

c)

Interval

d)

Ratio

75.

is a statistical measure to determine a single score that defines the center of a distribution.

a)

Central Tendency

b)

Mean

c)

Median

d)

Mode

76.

- also known as the arithmetic average is computed by adding all the scores in the distribution and dividing by the number of scores.

a)

Central Tendency

b)

Mean

c)

Median

d)

Mode

77.

is the midpoint of the list if the scores in a distribution are listed in order from smallest to largest.

a)

Central Tendency

b)

Mean

c)

Median

d)

Mode

78.

- is the score or category that has the greatest frequency in a distribution.

a)

Central Tendency

b)

Mean

c)

Median

d)

Mode