Answer:
It is necessary to make the following assumptions when making inferences about a group of people based on a sample of subjects drawn from that group:
- Data is quantitative in nature.
- A sample size of 30 or more is required.
- The data set must consist of a simple random sample.
- A Normal Distribution must be present in the data.
The data must come from a sample that isn't all the same size so that it can be generalized well.
The sample size must be at least 30 or more, according to the central limit theorem.
Mean and standard deviation are two examples of quantitative data from which statistical conclusions can be drawn.
To avoid bias, the sample size should be increased rather than the distribution skewed.
Explanation:
<em>I hope this helps you</em>
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