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Question 1

Two Branches of Statistics

Answer 1

Descriptive Statistics & Inferential Statistics

Question 2

Using the data gathered on a group to describe or reach conclusions about the same group
(E.g. class average, range of scores in an exam)

Answer 2

Descriptive Statistics

Question 3

A researcher gathers data from a sample and uses thestatistics generated to reach conclusions about thepopulation from the sample drawn.

Answer 3

Inferential Statistics

Question 4

Two Types of Variable

Answer 4

Qualitative & Quantitative

Question 5

TWO KINDS OF Quantitative Variables

Answer 5

Discrete & Continuous

Question 6

• Countable
• Data are obtained by counting

Answer 6

Discrete

Question 7

Can assume an infinite number of values in an interval between any two specific values

Answer 7

Continuous

Question 8

Four Levels of Data Management

Answer 8

Nominal
Ordinal
Interval
Ratio

Question 9

4 TYPES OF Data Collection Method

Answer 9

Survey
Direct Observation
Experiment method
Registration Method

Question 10

lowest level of data management- for identification and classification

Answer 10

Nominal

Question 11

use to reflect some rank or order ofindividual or objects

Answer 11

Ordinal

Question 12

zero is arbitrary (eg. Temperature)

Answer 12

Interval

Question 13

highest level of data measurement

Answer 13

Ratio

Question 14

zero is absolute (e.g. height)

Answer 14

Ratio

Question 15

makes use of questionnaires (can be telephone, email, personal)

Answer 15

Survey

Question 16

data regarding the behavior,attitudes, values, or cultural patterns of individuals are gathered

Answer 16

Direct Observation

Question 17

objective is to determine cause and effect relationship

Answer 17

Experiment method

Question 18

provide information to comply with a law or policy

Answer 18

Registration Method

Question 19

Different Forms of Presentation of Data

Answer 19

Textual
Tabular
Graphical Presentation

Question 20

consists of bars either vertically or horizontally and usually constructed in comparative purposes

Answer 20

Bar Graph

Question 21

shows relationship between one or more sets of quantities; best used to establish trends

Answer 21

Line Graph

Question 22

used to represent quantities that make up a whole

Answer 22

Pie Chart

Question 23

is a single score or value that stands for or represents a group of scores or values of the items in a set of data.

Answer 23

MEASURES OF CENTRAL TENDENCY

Question 24

3 TYPES OF MEASURES OF CENTRAL TENDENCY

Answer 24

Mean
Median
MODE

Question 25

The sum divided by the count

Answer 25

Mean ( X )

Question 26

is a positional measure and the middlemost value in the distribution

Answer 26

Median ( Md )

Question 27

is the value or item in a distribution which occurs most frequently or has the highest frequency

Answer 27

Mode ( Mo )

Question 28

Divides the distribution in 100 parts

Answer 28

PERCENTILE

Question 29

Divides the distribution into 4 parts

Answer 29

Quartiles

Question 30

also known as the standard score is the number of standard deviations that a number is above or below the data set

Answer 30

Z score

Question 31

BELL SHAPE CURVE

Answer 31

Normal Distribution

Question 32

SYMMETRIC ABOUT VERTICAL LINE

Answer 32

Normal Distribution

Question 33

LOCATED AT THE HIGHEST POINT

Answer 33

CENTER

Question 34

THE MEAN,MEDIAN,MODE ARE

Answer 34

EQUAL

Question 35

TOTAL AREA IS

Answer 35

1 OR 100%

Question 36

the data lie within 1 standard deviation of the mean.

Answer 36

68%

Question 37

the data lie within 2 standard deviations of the mean.

Answer 37

95%

Question 38

the data lie within 3 standard deviations of the mean.

Answer 38

99.7%

Question 39

measures the relationship between bivariate data.

Answer 39

Correlation

Question 40

are data sets in which each subject has two observations associated with it.

Answer 40

Bivariate data

Question 41

measures an outcome or result of a study.

Answer 41

response variable (dependent variable)

Question 42

is a variable that we think explains or causes changes in the response variables.

Answer 42

explanatory variable (independent variable)

Question 43

Is an approach for modeling the relationship between a dependent variable (outcome) and one or more explanatory variables.

Answer 43

Linear regression

Question 44

The case of one explanatory variable is called

Answer 44

simple linear regression.

Question 45

is a graph of plotted points showing the relationship between two numerical variables.

Answer 45

Scatterplot

Question 46

Graphing the data in the scatter plot gives

Answer 46

preliminary information about the shape

Question 47

The range of values of the correlation coefficient is

Answer 47

form -1 to +1.

Question 48

It means that, when X increases, Y also increases and when X decreases, Y also decreases.

Answer 48

POSITIVE correlation

Question 49

High scores in distribution X are associated with low scores in distribution Y. Low scores in distribution X are associated with high scores in distribution Y.

Answer 49

NEGATIVE correlation

Question 50

There is no association between the scores in distribution X and distribution Y. No single line can be drawn that best fits to all points or no discernable pattern can be formed.

Answer 50

ZERO CORRELATION

Question 51

It is indicated as r x y also known as Pearson Product-Moment Correlation Coefficient in honor of Karl Pearson who developed the formula.

Answer 51

CORRELATION