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When we make inferences about ONE POPULATION PROPORTION, what assumptions do we need to make? Mark all that apply. Group of answer choices Counts of successes and failures at least 15 each. Data is quantitative. Data is categorical. Sample Size is 30 or more. Data must be from a simple random sample. The data must have a Normal Distribution. Counts of successes and failures at least 5 each.

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Answer:

Data is quantitative, data is categorical, data must be from a simple random sample, the data mut have normal distribution,

Step-by-step explanation:

When we make inference about one population proportion, we must ensure that the sample was taken randomly and observations follow a normal distribution. The sample size must be as large as possible with at least 10 counts of failures an 10 counts of successes. The  individual observations must be independent. They must be quantified and categorized.

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Making inferences about a population using a sample of subject from the population, the following assumptions needs to be made :

  • Data is quantitative
  • Sample Size is 30 or more
  • Data must be from a simple random sample
  • The data must have a Normal Distribution

The data must be from a randomly distributed sample in other to ensure that it can generalize well.

Based on the central limit theorem, the sample size must be atleast 30 or more.

Quantitative data in which statistical deductions can be made such as mean and standard deviation.

The distribution should not be skewed to avoid bias or rather increase the sample to be as large as possible.

Learn more : https://brainly.com/question/25589810

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