Practical Data Science (Yellow Pad)

Sampling is the process of selecting the subjects who will participate in a research study.

True

In non-probability sampling, there is no way to estimating the probability that each individual will be included in the sample

True

In probability sampling, each number of the population does have an equal chance of being selected as representative sample

True

The basic type and most popular sampling design is cluster sampling.

False - Sample Random Sampling

Lottery is an extremely large list of numbers that has no order of pattern.

True

In fishbowl method, each population element is assigned a number that is written on a slip of paper and drawn from a bowl.

True

Stratified random sampling involves selecting every k^th element in the population until the desired number of samples is obtained.

False - Systematic Random Sampling

Systematic sampling subdivides the population into subgroups or strata and drawing members at random from each subgroup.

False - Stratified Sampling

Cluster sampling design is used when the population is very large and widely spread out over a wide geographical area.

True

Simple random sampling involves several stages in drawing the representative’s sample from the population.

False - Cluster sampling

The top 10 students

Ordinal

Marital Status

Nominal

The scores in Mathematics of the Grade 7 students

Ratio

Currency Value

Ratio

Yes or No

Nominal

Height of students in inches

Ratio

Students rank in class

Ordinal

Religion afiiliation

Nominal

Writing Ability

Ordinal

Running speed

Ratio

It deals with the collection, organization, analysis, presentation and interpretation of numerical data.

Statistics

It is a measure calculated on the basis of data taken from a sample.

Statistic

It is a measure calculated on the basis of data taken from the population.

Parameter

It is any characteristic or quality that varies among the numbers of a particular group.

Variable

It is any characteristic or quality that is present in every member of a particular group.

Constant

This is a variable that varies in amount of degree, but not in kind

Quantitative Variable

This variable corresponds to attributes of the observations that are include in our samples.

Qualitative Variable

It is a variable presumed to be affected by one or more independent variables.

Dependent Variable

This variable is the presumed cause of the dependent variable

Independent Variable

It is an independent variable that may have unintended effects on a dependent variable in a particular study.

Continuing Variable

It consists of careful, systematic, patient study and investigation in some field at knowledge, undertaken for the purpose of discovering relationships between variables.

Research

This type of data is measured data

Qualitative Data

Data of this type are either counted or ranked

Ordinal

This type of statistical analysis limits generalization to the particular group of individual observed.

Descriptive Statistics

This statistical analysis always involves the process of sampling.

Probability Sampling