Recall that the owner of a local health food store recently started a new ad campaign to attract more business and wants to know if average daily sales have increased. Historically average daily sales were approximately $2,700. The upper bound of the 95% range of likely sample means for this one-sided test is approximately $2,843.44. If the owner took a random sample of forty-five days and found that daily average sales were now $2,984, what can she conclude at the 95% confidence level?

The answer to the given problem is provided below.

Step-by-step explanation:

She can make the conclusion at 95% confidence level that average sales have increased:

Since the sample mean, $2,984, falls outside the range of likely sample means (which has an upper bound=$2,843.44), the store owner can reject the null hypothesis that μ≤ $2,700 μ≤ $2,700 at a 95% confidence level.

Since she can reject the null hypothesis, she can essentially accept the alternative hypothesis and conclude the average daily sales have increased.

the fist one is not equalvalent but i think th second one isand the third isnt definetly or the last one is i think. hope this !

step-by-step explanation: