Measurement and evaluation

Descriptive statistics focuses on organizing, summarizing, and presenting data in an informative way. Inferential statistics involves hypothesis testing to evaluate claims about a population based on a sample.

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după Remek Debski

după Jennifer Boxmeyer

după Kelly Cone

după Desi McKeown

sampling types

Simple random sampling: A subset of the population is randomly selected to form the sample.

Stratified sampling: The population is divided into groups or strata, and a sample is selected from each stratum.

Cluster sampling: The population is divided into clusters, and some clusters are selected to form the sample.

Systematic sampling: An element from the population is selected, and then subsequent elements are chosen at a constant interval.

Convenience sampling: The most accessible or convenient elements are selected to form the sample

Descriptive statistics

It is a branch of statistics that is responsible for organizing, summarizing, and presenting data in an informative manner.

Inferential statistics

The performance of hypothesis testing is used to evaluate claims about the population based on the sample.

variable

quantitative variable

numerical values and can be measured or counted

qualitative variable

describes characteristics or attributes that cannot be measured numerically

Facts that are collected for analysis and can be textual or graphical are called data.

*surveys *measurements *records *database

*Data analysis *Patterns *Decision making *Data quality *Data veracity