Descriptive statistical tests for demographic variables

  • Can descriptive statistics be used for population?

    Descriptive statistics are brief informational coefficients that summarize a given data set, which can be either a representation of the entire population or a sample of a population.
    Descriptive statistics are broken down into measures of central tendency and measures of variability (spread)..

  • How do you compare demographic data between two groups?

    Descriptive statistics for one categorical variable
    Descriptive statistics used to analyse data for a single categorical variable include frequencies, percentages, fractions and/or relative frequencies (which are simply frequencies divided by the sample size) obtained from the variable's frequency distribution table..

  • What are the demographic variables in descriptive statistics?

    A common way to approach that question is by performing a statistical analysis.
    The two most widely used statistical techniques for comparing two groups, where the measurements of the groups are normally distributed, are the Independent Group t-test and the Paired t-test..

  • What are the demographic variables in descriptive statistics?

    A demographic variable is a variable that is collected by researchers to describe the nature and distribution of the sample used with inferential statistics.
    Within applied statistics and research, these are variables such as age, gender, ethnicity, socioeconomic measures, and group membership..

  • What types of descriptive statistics are most appropriate for ratio variables?

    The most common descriptive statistics that are calculate to summarize interval or ratio data are:

    Central tendency measure (mean, median or mode)Variability measures (e.g. standard deviation of the sample, standard error of the mean, variance)Normality measures (e.g. measures of skewness and/or kurtosis).

  • What types of descriptive statistics are most appropriate for ratio variables?

    A demographic variable is a variable that is collected by researchers to describe the nature and distribution of the sample used with inferential statistics.
    Within applied statistics and research, these are variables such as age, gender, ethnicity, socioeconomic measures, and group membership..

What Does A Statistical Test do?

Statistical tests work by calculating a test statistic – a number that describes how much the relationship between variables in your test differs

When to Perform A Statistical Test

You can perform statistical tests on data that have been collected in a statistically valid manner – either through an experiment

Choosing A Parametric Test: Regression, Comparison, Or Correlation

Parametric tests usually have stricter requirements than nonparametric tests, and are able to make stronger inferences from the data

Choosing A Nonparametric Test

Non-parametric tests don’t make as many assumptions about the data, and are useful when one or more of the common statistical assumptions are violated

Flowchart: Choosing A Statistical Test

This flowchart helps you choose among parametric tests. For nonparametric alternatives, check the table above

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