SP

DISCRETE

DISCRETE

________- a variable which can assume finite, or at most countably infinite number of values; usually measured by counting or enumeration; data that can recounted.

Probability Distribution

________- is the mathematical function that gives the probabilities of occurrence of different possible outcomes for an experiment.

Sample

________ is a subset taken from a population, either by random sampling or by non- random sampling.

Parameter

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

LEVELS

________ OF DATA MEASUREMENT AND SCALES NOMINAL SCALE of measurement arises when we have variables that are categorical and non- numeric or where the numbers have no sense of ordering.

Statistics

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

branch of mathematics

Is a(n) ________ that deals with uncertainty.

Data collection

________- 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.

Statistic

________ is the number that describes the sample.

Standard Deviation

________ is a closely related measure of variability.

Events

________ is a subset of a sample space, and it is also a specific or collection of outcomes.

Probability

________- the possibility of the result of any random event.

Random Variable It

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

central location

Mean- considered as a measure of the "________ "of a random variable.

Fundamental Counting

________ Principle (FCP)- the product of two or more possible outcomes to compute the total number of outcomes.

ORDINAL SCALE

________ 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.

Sample Space

________ is the set of all possible outcome.

RATIO SCALE

________ also tells us that one unit has so many times as much of the property as does another unit.

Qualitative data

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

Measurement

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

Multi stage Sampling

________- uses a combination of different sampling techniques.

numerical quantity

It is a(n) ________ that is assigned to the outcome of an experiment.

Probability density

________- the relationship between observations and their probability.

Factorial

________ or factorial function- the product of whole numbers from the given number descending to one.

Normal Distribution

________- a type of data distribution that is observed in a lot of instances in real life.

Theratio level

________ possesses a meaningful (unique and non- arbitrary) absolute, fixed zero point and allows all arithmetic operations.

Random Variable

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

Random Sampling

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

Lottery Sampling

________- is a sampling technique in which each member of the population has an equal chance of being selected.

Quantitative data

________ are numerical measurements that arise from a natural numerical scale.

Discrete Random Variable

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

measurement scale

A(n) ________ that ranks individuals in terms of the degree to which they possess a characteristic, but these ranks can not be quantified or measured.

Population

________ is any specific collection of objects of interest.

INTERVAL SCALE

________ tells us that one unit differs by a certain amount of degree from another unit.

probability distribution

Sampling Distributions- the ________ forthe values of the sample statistic obtained when random samples are repeatedly drawn from a population.

Parameter

________ is a descriptive population measure.

Statistics

________ refers to numbers being studied, data themselves, or numbers derived from the data.

Statistic

________ is a number computed from the sample data.

Sample

________ is any subset or sub- collection of the population, including the case that the ________ consists of the whole population, in which case it is termed a census.

Probability

________- fraction or decimal (frequency /the total number of possible outcomes)

Parameter

________ is a number that summarizes some aspect of the population.

Probability

the possibility of the result of any random event

Variable

an attribute that describes a person, place, thing, or idea

Factorial or factorial function

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

Fundamental Counting Principle (FCP)

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

Linear Permutation

type of permutation where the object of outcome does not repeat

Permutation with Repetition

type of permutation where the object of outcome repeats

Combination

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

DISCRETE

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

CONTINUOUS

a variable which can assume infinitely many values corresponding to a line interval; values areobtained by measuring

Quantitative Data

numeric data

Primary Data

personal encounters or experiences of a person or data obtained from observation, survey, and experimentation

Secondary Data

works or research made by other persons

Ungrouped Data

a set or an array of things or observations whether arranged or not arranged in a particular order

Grouped Data

data presented in a frequency distribution presentation

Discrete random variable

has a countable number of possible values

Continuous random variable

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

Probability Distribution

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

Mean

considered as a measure of the "central location" of a random variable

Normal Distribution

a type of data distribution that is observed in a lot of instances in real life

Standard Normal Distribution

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

Probability density

the relationship between observations and their probability

Random Sampling

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

Parameter

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

Statistics

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

Sampling Distributions

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

RANDOM SAMPLING

where each point of the sample has an equal chance of being selected using the appropriate sampling technique

Sample Means

in this table list the unique value of sample means from the previous table will be listed (if you have the same sample mean on the first table takeit as one on this table)