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Question 1

is the science of the development of
applications of the most effective methods for
planning experiments, obtaining data, and then
analyzing, interpreting, and drawing conclusions
based on the data.

Answer 1

Statistics

Question 2

an attribute that describes a person,
place, thing, or idea. It is a characteristic that is
observable or measurable in every unit of
universe.

Answer 2

Variable

Question 3

the process of gathering and
measuring information on variables of interest,
in an established systematic fashion that
enables one to answer stated research
questions, test hypotheses, and evaluate
outcomes

Answer 3

Data collection

Question 4

is branch of mathematics that deals
with uncertainty. It is a measure or estimation
of how likely it is that an event will occur

Answer 4

Probability

Question 5

refers to the “likelihood” that
something will happen.

Answer 5

Chance

Question 6

the set of all possible outcome.

Answer 6

Sample Space

Question 7

a subset of a sample space. It is also a
specific or collection of outcomes.

Answer 7

Events

Question 8

the product of whole numbers from the given number descending to one.

Answer 8

Factorial or factorial function

Question 9

the product of two or more possible outcomes to
compute the total number of outcomes.

Answer 9

Fundamental Counting Principle (FCP)

Question 10

type of permutation
where the object of outcome does not repeat.

Answer 10

Linear Permutation

Question 11

type of permutation where the object of outcome
repeats.

Answer 11

Permutation with Repetition

Question 12

technique that determines the
number of possible arrangements in a collection
of items where the order of the selection does
not matter.

Answer 12

Combination

Question 13

is any specific collection of objects of interest.

Answer 13

population

Question 14

is any subset or subcollection of the population, including the case that the sample
consists of the whole population, in which case it is termed a census.

Answer 14

sample

Question 15

is a number or attribute computed for each member of a population or of a sample.

Answer 15

measurement

Question 16

The measurements of sample elements are collectively called

Answer 16

the sample data.

Question 17

is a number that summarizes some aspect of the population.

Answer 17

parameter

Question 18

is a number computed from the sample data.

Answer 18

statistic

Question 19

is a collection of methods for collecting, displaying, analyzing, and drawing
conclusions from data.

Answer 19

Statistics

Question 20

is the branch of statistics that involves organizing, displaying, and describing data.

Answer 20

Descriptive statistics

Question 21

is the branch of statistics that involves drawing conclusions about a population based on information contained in a sample taken from that population.

Answer 21

Inferential statistics

Question 22

are measurements for which there is no natural numerical scale, but which consist of attributes, labels, or other nonnumerical characteristics.

Answer 22

Qualitative data

Question 23

are numerical measurements that arise from a natural numerical scale.

Answer 23

Quantitative data

Question 24

a variable which can assume finite, or at most countably infinite number of values;
usually measured by counting or enumeration; data that can be counted

Answer 24

DISCRETE

Question 25

a variable which can assume infinitely many values corresponding to a line interval; values are obtained by measuring.

Answer 25

CONTINUOUS

Question 26

measurement arises when we have variables that are categorical and non-numeric or where the numbers have no sense of ordering.

Answer 26

NOMINAL SCALE

Question 27

measurement arises when we have variables that are categorical and non-numeric or where the numbers have no sense of ordering.

Answer 27

NOMINAL SCALE

Question 28

also deals with categorical variables like the nominal level, but in this level ordering is important, that is the values of the variable could be ranked.

Answer 28

ORDINAL SCALE

Question 29

tells us that one unit differs by a certain amount of degree from another unit. There is no absolute zero in this scale

Answer 29

INTERVAL SCALE

Question 30

tells us that one unit has so many times as much of the property as does another unit. The ratio level possesses a meaningful (unique and non-arbitrary) absolute, fixed zero point and allows all arithmetic operations. The existence of the zero point is the only difference between ratio and interval level of measurement.

Answer 30

RATIO SCALE

Question 31

It is a function that associates a real number to each element in the sample space.

Answer 31

Random Variable:

Question 32

It is a result of chance in an event that you can measure or count.

Answer 32

Random Variable:

Question 33

It is a numerical quantity that is assigned to the outcome of an experiment.

Answer 33

Random Variable:

Question 34

It is a quantitative variable which values depends on change.

Answer 34

Random Variable:

Question 35

has a countable number of positive values.

Answer 35

Discrete random Variable

Question 36

can assume an infinite number of values in one or more intervals.

Answer 36

Continuous random variable

Question 37

is the mathematical function that gives the probabilities of occurence of different possible outcomes for an experiment.

Answer 37

Probability Distribution-

Question 38

is a capacity that connects a real number with every component in the sample space.

Answer 38

Random Variable

Question 39

variables that can take on a finite number of distinct values.

Answer 39

Discrete Random Variable

Question 40

considered as a measure of the `central location' of a random variable. It is the weighted average of the values that random variable X can take, with weights provided by the probability distribution.

Answer 40

Mean

Question 41

is the sum of the products of each possible value of a random variable and that value’s probability. Symbolically, E(X).

Answer 41

Mean Value

Question 42

measures of spread.

Answer 42

Variance

Question 43

is a closely related measure of variability.

Answer 43

Standard Deviation

Question 44

a type of data distribution that is observed in a lot of instances in real life. It is characterized by a bell-shaped curve with the mean, mode and median as its center and peak.

Answer 44

Normal Distribution

Question 45

a normal distribution with a mean of 0 and a standard deviation of 1.

Answer 45

Standard Normal Distribution

Question 46

a measure of how spreadout numbers are.

Answer 46

Standard Deviation

Question 47

the relationship between observations and their probability.

Answer 47

Probability density

Question 48

also known as the standard normal table, provides the area under the curve

Answer 48

Z – Table

Question 49

selecting samples from a population using chance methods or random numbers from the table of random numbers.

Answer 49

Random Sampling

Question 50

a measure or characteristics obtained by using all the data values in the population.

Answer 50

Parameter

Question 51

a measure or characteristics obtained by using only the data values in a sample.

Answer 51

Statistics

Question 52

the probability distribution for the values of the sample statistic obtained when random samples are repeatedly drawn from a population.

Answer 52

Sampling Distributions

Question 53

Refers to the whole group under study or investigations.

Answer 53

POPULATION

Question 54

It consists of one or more data drawn from the populations

Answer 54

SAMPLE:

Question 55

is a descriptive population measure. It is a measure of the characteristics of the entire population (a mass of all the units under consideration that share common characteristics) based on all the elements within that population.

Answer 55

PARAMETER

Question 56

is the number that describes the sample. It can be calculated and observed directly.

Answer 56

STATISTIC

Question 57

A method of choosing samples in which all the members of the population are give EQUAL CHANCE TO BE SELECTED AS RESPONDENTS.

Answer 57

SIMPLE RANDOM SAMPLING

Question 58

The division might depend on different factors, like age, gender, grade or barangay.

Answer 58

STRATIFIED RANDOM SAMPLING

Question 59

starts off by dividing a population into groups with similar attributes. Then a random sample is taken from each group.

Answer 59

STRATIFIED RANDOM SAMPLING

Question 60

starts by dividing a population into groups, or clusters. What makes this different that stratified sampling is that each cluster must be representative of the population. Then, you randomly selecting entire clusters to sample.

Answer 60

CLUSTER RANDOM SAMPLING

Question 61

A method of selecting every nth element of the population.

Answer 61

SYSTEMATIC RANDOM SAMPLING

Question 62

is a sampling technique in which each member of the population has an equal chance of being selected. An instance of this is when members of the population have their names represented by small pieces of paper that are then randomly mixed and picked out. In the sample, the members selected will be included.

Answer 62

LOTTERY SAMPLING

Question 63

uses a combination of different sampling techniques. For example, when selecting respondents for a national election survey, we can use the lottery method first for regions and cities. We can then use stratified sampling to determine the number of respondents from selected areas and clusters.

Answer 63

MULTI-STAGE SAMPLING