types of data
statistical measures
sampling methods
hypothesis testing
descriptive vs inferential
100

This type of data can be categorized based on attributes or properties

what is qualitative data?

100

this measure represents the average of a data set

what is the mean

100

this sampling technique selects individuals based on random selection, giving each member of the population an equal chance of being chosen

what is random sampling

100

this is a statement that can be tested and is typically formulated as a claim about a population parameter

what is a hypothesis

100

this branch of statistics involves summarizing and organizing data to describe its main features

what is descriptive statistics

200

this type of data consists of numerical values that can be measured

what is quantitative data

200

this measure indicated the middle value when data is stored in ascending order

what is the median

200

this method divides the population into subgroups and randomly selects samples from each subgroup

what is stratified sampling

200

this statistical test is used to compare means from two independent groups

what is a t-test

200

this branch of statistics makes predictions or inferences about a population based on a sample

what is inferential statistics

300

these two types of qualitative data involve ordered categories and nominal categories, respectively

what are ordinal and nominal data

300

this measure represents the most frequently occurring value in a data set

what is the mode

300

in this sampling technique, individuals are selected based on their availability or ease of access

what is convenience sampling

300

this is the threshold p-value commonly used to determine statistical significance

what is 0.05

300

this measure includes the mean, median, range, and mode as summary statistics

what are measures of central tendency

400

this type of qualitative data has a true zero point and allows for a wide range of mathematical operations

what is ratio data?

400

this measure indicates how extreme the outliers are in a data set

what is the range

400

this method involves selecting samples based on certain characteristics

what is non-random sampling

400

this is the hypothesis that there is no effect or no difference

what is the null hypothesis

400

this statistical technique estimates population parameters and tests hypotheses using sample data

what is inferential statistical analysis

500

this qualitative data type represents categories that do not have a natural order

what is nominal data
500

this measure indicated how spread out the values in the data set are

what is standard deviation

500

in this sampling technique, the researcher divides the population into clusters and randomly makes a selection

what is cluster sampling

500

this type of error occurs when a true null hypothesis is incorrectly rejected

what is type 1 error

500

this type of graph provides a quick overview of data distribution without making inferences beyond the sample

what is a descriptive graph