Descriptive Statistics Concepts

To test hypotheses

To summarize and describe data

To predict future trends

To establish causal relationships

P-value

Sample size

Regression coefficient

Standard deviation

Descriptive statistics summarize data, while inferential statistics make predictions about a population.

Descriptive statistics are more complex than inferential statistics.

Inferential statistics are used only in qualitative research.

Descriptive statistics require larger sample sizes than inferential statistics.

Mean

Median

Mode

Range

A flat line

A bell curve

A steep slope

A zigzag pattern

The average value

The difference between the largest and smallest values

The middle value

The most common value

Variance is the square root of standard deviation.

Variance is always larger than standard deviation.

Standard deviation is the square root of variance.

Variance is used only for qualitative data.

It identifies the most common data point.

It determines the sample size needed.

It provides insights into how data points are spread around the mean.

It helps in predicting future trends.

Data points are closely clustered around the mean.

The data set is normally distributed.

Data points are widely spread out from the mean.

The data set has a high mean value.

A measure of the asymmetry of the distribution

A measure of the spread of data

A measure of the average value

A measure of the most frequent value