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____ [38]
3 years ago
12

Which of the following situations would result in a t-test that not likely to be accurate? Choose all that apply

Biology
1 answer:
Mariana [72]3 years ago
3 0

Answer:

The correct options are (c) and (d).

Explanation:

The assumptions made before using a <em>t</em>-distribution for a hypothesis test are:

  1. The scale of the data should be continuous or ordinal.
  2. The sample selected should be a simple random sample.
  3. The data selected should follow a normal distribution or form a bell-shaped curve when plotted.
  4. The sample selected must be large enough so that when plotted a normal distribution curve is formed.
  5. Homogeneous variance exists so that the standard deviations of the samples are approximately equal.

A sample size of 5 a sample size of 50 sample will not be accurate for a <em>t</em>-test because on of the sample size is, 5.

This sample size is very small and when plotted will not follow a normal distribution.

The sets that differed in variance will not be accurate for a <em>t</em>-test because for using a <em>t</em>-test homogeneity of variances is assumed.

Thus, the correct options are (c) and (d).

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