statistics and probability 4th quarter examination definitions

Normal probability distribution

The probability distribution of continuous random variable

Mean

Average number

Median

Middle term

Mode

The most repeated number

Population mean

The total average/number

Standard deviation

Is a stattistical measure of how dispersed data points are in relation to their mean

Skinnier and taller

Large value of standard deviation yields a ______ normal curve

Shorter And spread out

Lower value of standard deviation will results to?

Standard normal curve

Is a normal probabilitty distribution that has a population mean of 0 and standard deviation of 1

Z-score

Measures of how many standard deviations away from the mean a raw score is

3.1416

The complete value of pie

Z= x-m/O

Formula in finsing the z-score

2,7183

The complete value of e

68%-95%-99.7%

The empirical rule

To the right

Above

More than

Greater than

At least

The probability notation for shading the ride side

To the left

Below

No more than

Less than

At most

The probability notation for shading the left side

Between

A probability notation where you add and shade the middle part only

Population

The set of all possible values of the bvariable

Sample

It consist of one or more data drawn from the population

Random sampling

It is a sampling method of choosing representatives from the population wherein accurate every sample to have an equal chance of being selected

Probability sampling

Non-probability sampling

Types of random sampling

Probability sampling

The sampling technique that involves random sampling

Non-probability sampling

The sampling technique that do not involve random selection of data

Simple random sampling

Systematic random sampling

Statified random sampling

Cluster random sampling

4 different types of probability random sampling

Simple random sampling

The most basic random sampling wherein each element in the population has an equal chance of being selected

Systematic random sampling

This sampling is done by listing all the elements in the population and selecting every kth element in your population

K=N/n

The formula for using the systematic random sampling

Stratified random sampling

This is a sampling technique wherein the population is divided into diffrerent strata or divisions, the number of samples will be proportionately picked in each stratum

Strata

In a stratified random sampling, this is what you vcall to people that you grouped

Stratum

In a stratified random sampling, this is what you call the group or divisions

Cluster random sampling

This is a random sampling technique wherein population is divided into clusters and then randomly selected

Conviience sampling

Snowball sampling

Quota sampling

Volunteer sampling

4 different non-probability sampling

Convinience sampling

A sampling that gathers data from nearby sources of information exerting minimal effort

Snowball sampling

Also known as chain referral sampling, the samples have traits that are rare to find and needs to provide referrals to

Quota sampling

Sampling where units are picked for convinience but certain quotas are given to interviewers. Mostly used in market research

Volunteer sampling

Sample units are volunteers in studies wherein the population has an equal chance of being selected

Sample random sampling

SRS means?

N=N/1-Ne2

Slovin's formula