Psych Stats Flashcards

1
Q

Which of the following is true for a symmetrical distribution?

a. the mean, median, and mode are all
b. mean = median
c. mean = mode
d. median = mode

A

mean = median

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2
Q

For a negatively skewed distribution with a mode of X 25 and a median of 20, the mean is probably

A greater than 25
b. less than 20
c. between 20 and 25
d. cannot be determined from the information given

A

less than 20

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3
Q

A distribution is positively skewed. Which is the most probable order for the three measures of central tendency?

a. mean = 40, median = 50, mode = 60
b. mean = 60, median = 50, mode = 40
c. mean = 40, median = 60, mode = 50
d. mean = 50, median = 50, mode = 50

A

mean = 60, median = 50, mode = 40

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4
Q

refers to a set of mathematical procedures for organizing, summarizing, and interpreting information.

A

statistics

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5
Q

are used to organize and summarize the information so that the researcher can see what happened in the research study and can communicate the results to others

A

statistics

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6
Q

help the researcher to answer the questions that initiated the research by determining exactly what general conclusions are justified based on the specific results that were obtained.

A

statistics

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7
Q

entire group that a researcher wishes to study is called a ___

A

population

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8
Q

is the set of all the individuals of interest in a particular study.

A

population

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9
Q

a set of individuals selected from a population

A

sample

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10
Q

is a set of individuals selected from a population, usually intended to represent the population in a research study

A

Sample

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11
Q

is a characteristic or condition that changes or has different values for different individuals.

A

variable

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12
Q

the measurements or observation

A

Data

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13
Q

is a collection of measurements or observations

A

data set

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14
Q

is a single measurement or observation and is commonly called a ____

A

datum (singular)

score or raw score

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15
Q

describes a population

A

Parameter

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16
Q

Describes a sample

A

Statistic

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17
Q

is a value, usually a numerical value, that describes a population. A parameter is usually derived from measurements of the individuals in the population

A

parameter

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18
Q

is a value, usually a numerical value, that describes a sample. It is usually derived from measurements of the individuals in the sample.

A

statistic

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19
Q

are statistical procedures used to summarize, organize, and simplify data.

A

Descriptive statistics

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20
Q

consist of techniques that allow us to study samples and then make generalizations about the populations from which they were selected.

A

Inferential statistics

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21
Q

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

A

Sampling error

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22
Q

A researcher is interested in the sleeping habits of American college students. A group of 50 students is interviewed and the researcher finds that these students sleep an average of 6.7 hours per day. For this study, the average of 6.7 hours is an example of a(n)

a. parameter

b. statistic

c. population

d. sample

A

Statistic

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23
Q
  1. A researcher is curious about the average IQ of registered voters in the state of Florida.

The entire group of registered voters in the state is an example of a

a. sample

b. statistic

c. population

d. parameter

A

Population

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25
Statistical techniques that summarize, organize, and simplify data are classified as a. population statistics b. sample statistics c. descriptive statistics d. inferential statistics
descriptive statistics
26
In general, a research study and statistical techniques are used to summarize the data from statistical techniques are used to determine what conclusions are justified by the results. a. inferential, descriptive b. descriptive, inferential c. sample, population d. population, sample
descriptive, inferential
27
IQ tests are standardized so that the average score is 100 for the entire group of people who take the test each year. However, if you selected a group of 20 people who took the test and computed their average IQ score you probably would not get 100. What statistical concept explains the difference between your mean and the mean for the entire group? a. statistical error b. inferential error c. descriptive error d. sampling error
sampling error
28
two different variables are observed to determine whether there is a relationship between them.
correlational method
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relationship between the two variables is usually measured and described using a statistic
correlation
30
cannot demonstrate the cause and effect relationship
correlational method
31
We can say that changes in one variable are accompanied by changes in a second variable, but we can not say why.
Nonexperimental
32
demonstrate a cause-and-effect relationship between two variables.
Experimental
33
two distinct research methods that both produce groups of scores to be compared:
Experimental Nonexperimental
34
one variable is manipulated while another variable is observed and measured. To establish a cause-and-effect relationship between the two variables, an experiment attempts to control all other variables to prevent them from influencing the results
experimental method
35
These are characteristics such as age, gender, and intelligence that vary from one individual to another.
Participant Variables
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are internal attributes or characteristics that cannot be directly observed but are useful for describing and explaining behavior.
Constructs
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there are an infinite number of possible values that fall between any two observed values. It is divisible into an infinite number of fractional parts.
continuous variable
52
are the boundaries of intervals for scores that are represented on a con-tinuous number line.
Real limits
53
-for example, the number of children in a family or the number of students attending class. If you observe class attendance from day to day, you may count 18 students one day and 19 students the next day. However, it is impossible ever to observe a value between 18 and 19. It may also consist of observations that differ qualitatively.
discrete variable
54
is at the top of the interval
upper real limit
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is at the bottom.
lower real limit
56
"having to do with names." It involves classifying individuals into categories that have different names but are not related to each other in any systematic way
Nominal
57
For example, if you were measuring the academic majors for a group of college students, the categories would be art, biology, business, chemistry, and so on.
Nominal
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