BSLEC 2

Question 1

Statistical procedures used to organize, summarize, and simplify data.

Answer 1

Descriptive Statistics

Question 2

Does not allow conclusions made beyond the data analyzed

Answer 2

Descriptive Statistics

Question 3

Comes in Count, Frequency, and/or Percent

Answer 3

Measures of Frequency

Question 4

Shows how frequent something occurs

Answer 4

Measures of Frequency

Question 5

Comes in Mean, Median, and Mode

Answer 5

Measures of Central Tendency

Question 6

Use when there is a need to show an average or the most commonly indicated response

Answer 6

Measures of Central Tendency

Question 7

Comes in Range, Variance, and Standard Deviation

Answer 7

Measures of Dispersion or Variation

Question 8

dentifies the spread of scores by stating intervals

Answer 8

Measures of Dispersion or Variation

Question 9

dispersed or “spread out” the data are. It is helpful to know when your data are so spread out that it affects the mean.

Answer 9

Measures of Dispersion or Variation

Question 10

Percentile ranks, Quartile Ranks

Answer 10

Measures of Position

Question 11

Use this when you need to compare scores to a normalized score (e.g., a national norm)

Answer 11

Measures of Position

Question 12

Use when there is a need to show how a response was given

Answer 12

Measures of Frequency

Question 13

Statistical measure to determine a single score that defines the center of the distribution; the goal is to find the single score that is most typical or most representative of the entire group

Answer 13

Central Tendency

Question 14

Concept of an average or representative score – usually attempts to identify the “average” or “typical” individual

Answer 14

Central Tendency

Question 15

There is no single, standard procedure for determining central tendency.

Answer 15

Central Tendency

Question 16

Arithmetic average

Answer 16

MEAN

Question 17

Greek letter of mean

Answer 17

µ

Question 18

Amount that each individual gets when the total is distributed equally

Answer 18

MEAN

Question 19

Balance point of a distribution

Answer 19

MEAN

Question 20

Goal: To locate the midpoint of the distribution

Answer 20

MEDIAN

Question 21

Definition and computations for a sample and for a population are the identical

Answer 21

MEDIAN

Question 22

“customary fashion” or a “popular style”

Answer 22

MODE

Question 23

Same as median, has no symbols

Answer 23

MODE

Question 24

Same definition with sample and population mo

Answer 24

MODE

Question 25

Distribution with two modes

Answer 25

Bimodal

Question 26

Distribution with more than two modes

Answer 26

Multimodal

Question 27

Provides a quantitative measure of the differences between scores in a distribution and describes the degree to which the scores are spread out or clustered together

Answer 27

Variability

Question 28

Purpose of measuring variability

Answer 28

To obtain an objective measure of how the scores are spread out in a distribution

Question 29

Usually, variability is defined in terms of___

Answer 29

distance

Question 30

measures how well an individual score (or group of scores) represents the entire distribution.

Answer 30

Variability

Question 31

means specific method of estimation

Answer 31

Measure

Question 32

means deviation or difference of certain values from their central value

Answer 32

Dispersion

Question 33

Distance covered by the scores in a distribution, from the smallest score to the largest score

Answer 33

Range

Question 34

most obvious way to describe how spread out the scores are

Answer 34

Range

Question 35

Most commonly used

Answer 35

Standard Deviation

Question 36

Uses the mean of the distribution as reference point and measures variability by considering the distance between each score and the mean

Answer 36

Standard Deviation

Question 37

represents the rate of divergence from the mean in a date set and is used a lot in trading

Answer 37

Standard Deviation

Question 38

Measures the dispersion of set of data points around their mean

Answer 38

Variance

Question 39

square root of the variance and provides a measure of the standard, or average distance from the mean.

Answer 39

Standard deviation

Question 40

measure that indicates the extent to which the central 50% of values within the dataset are dispersed.

Answer 40

Interquartile Range

Question 41

same way that the median divides a dataset into two halves, it can be further divided into quarters by identifying the upper and lower quartiles.

Answer 41

Interquartile Range

Question 42

One quarter of the way along a dataset

Answer 42

Lower quartile

Question 43

lies halfway between the median and the highest value in the dataset

Answer 43

upper quartile

Question 44

found three quarters along the dataset

Answer 44

upper quartile

Question 45

lies halfway between the median

Answer 45

lower quartile

Question 46

provides a clearer picture of the overall dataset by removing/ignoring the outlying values.

Answer 46

interquartile range

Question 47

most important distribution. It describes well the distribution of random variables that arise in practice, such as the heights or weights of people,

Answer 47

normal distribution

Question 48

NORMAL DISTRIBUTION AKA ____

Answer 48

GAUSSIAN DISTRIBUTION

Question 49

However, even if the data are not known to be exactly normal, but are known to be bell shaped, then the exact results stated above will be approximately true.

Answer 49

empirical rule.

Question 50

An organized tabulation of the number of individuals located in each category on the scale of measurement

Answer 50

FREQUENCY DISTRIBUTION