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We use inferential statistics to try to infer from the sample data what the population might think. Or, we use inferential statistics to make judgments of the probability that an observed difference between groups is a dependable one or one that might have happened by chance in this study.
Study with Quizlet and memorize flashcards containing terms like inferential statistics, relationships or differences, sample data and more.
Study with Quizlet and memorize flashcards containing terms like What is inferential statistics?, What is the difference between descriptive and inferential statistics?, What is a parameter? and more.
Study with Quizlet and memorize flashcards containing terms like What is the purpose of all inferential statistics?, In terms of inferential statistics, what do we mean by a "statistic"? What is a "parameter"?, What is the "sampling distribution of the mean"? What is the "standard error"? and more.
4 Σεπ 2020 · When you have collected data from a sample, you can use inferential statistics to understand the larger population from which the sample is taken. Inferential statistics have two main uses: making estimates about populations (for example, the mean SAT score of all 11th graders in the US).
18 Σεπ 2023 · Descriptive statistics give you the tools to succinctly summarize and describe data, whereas inferential statistics empowers you to draw conclusions and predictions about larger contexts or populations.
Inferential statistics makes use of analytical tools to draw statistical conclusions regarding the population data from a sample. Hypothesis testing and regression analysis are the types of inferential statistics.
