a university department administers a survey regardring student satisfaction based on the survey results the department provides a confidence interval estimate of 60% to 80% for student satisfaction if the department wishes to construct a confidence interval the more accurate represents the proportion of a student satisfaction how should the design be altered

Change the confidence interval.

Step-by-step explanation:

The confidence interval should be altered . If a 95 % or 90% confidence interval is set then better results can be obtained for student satisfaction.

A 90 or 95  or 99 percent confidence interval will show  a greater range of the data that lies within or without the given criteria.

95 % confidence interval does not mean that the probability is 95% . It means that we are 95% of the data lies  or does not lie within the specific range.

This gives better results as compared to 60- 80 % confidence intervals.

If 95% of the students are satisfied as compared to 60% or 80% , this shows more accuracy.

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step-by-step explanation: