Asked by Maddy Hernandez on May 18, 2024

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In which of the following steps of analyzing data is probability most important?

A) calculating measures of central tendency such as the mean or median
B) developing research hypotheses
C) examining your data by creating tables and figures
D) calculating inferential statistics

Central Tendency

A statistical measure that identifies a single value as representative of an entire distribution, typically via the mean, median, or mode.

Inferential Statistics

The field of statistics focused on drawing conclusions or making forecasts about a whole population from a subset of collected data.

Probability

An indicator of how probable an event is, represented numerically between 0 and 1.

  • Recognize the significance of probability in the analysis of inferential statistics.
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Tanzania BaconMay 24, 2024
Final Answer :
D
Explanation :
Probability is most important in calculating inferential statistics, as these methods involve using probability theory to make inferences about a population based on a sample of data.