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A whale-watching company noticed that many customers wanted to know

whether it was better to book an excursion in the morning or the afternoon.

To test this question, the company recorded the number of whales seen in the

morning and afternoon on 15 randomly selected days over the past month,

calculated differences between the observations in each pair (afternoon

minus morning), and then constructed a 95% confidence interval for the true

population mean difference.

What conclusion can you draw from the 95% confidence interval

(1. 507, 1. 307) for (8-4), the population mean difference?

Sagot :

Based on the 95% confidence interval, the conclusion would be that the whale-watching company has a 95% chance of seeing between -.507 and 1.307 whales on any given day.

Why can this conclusion be drawn?

The test was to find out how many whales could be seen on a given day and this was tested at a 95% significance level.

The 95% confidence interval was shown to be (-0.507, 1.307). This means that there is a 95% chance that between -0.507 and 1.307 whales will be seen on a given day.

Find out more on confidence intervals at https://brainly.com/question/26267323.

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