ily Driving The average number of miles a person drives per day is 24. A researcher wishes to see if people over age 60 drive U00 s than 24 miles per day. She selects a random sample of 33 drivers over the age of 60 and finds that the mean number of les driven is 22.7. The population standard deviation is 3.7 miles. At a = 0.10, is there sufficient evidence that those drivers er 60 years old drive less than 24 miles per day on average? Assume that the variable is normally distributed. Use the critical lue method with tables. Part: 0 / 5 Part 1 of 5 State the hypotheses and identify the claim with the correct hypothesis. H: not claim H: not claim The hypothesis test is a one-tailed test.

Q: What is the correct answer ? I have to show work.

A: Given Information: Sample size (n) = 22  Mean (u) = 12 Standard deviation (s) = 5.4

Q: A. Two golfing venues offer bays that customers con reserve to play various golf ing games. The…

A: Since we only answer up to 3 sub-parts, we’ll answer the first 3. Please resubmit the question and…

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A: or you can use Heron's Formula to find the area of the triangle.

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A: The expectation of a continuous random variable X is given by EX=∫-∞∞xfxdx. Where,fx is the…

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A: Solution and Explanation is given below....

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A: A is diagonalizable if there exists a invertible matrix P such that A=PDP-1  where D is the diagonal…

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A: Note :  1. Corresponding angles are equal. 2. Alternate exterior angles are equal.

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A: Given that, A factory makes two products. Product A takes 4  hours on Machine 1 and 2 hours on…

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A: Linear functions are polynomials with highest exponent equal to 1 or of the form y = c where c is…

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A: Here, the objective is to find the area function for Kite.

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A: Given:

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A: We find inverse of given Matrix

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A: Hey, since there is multiple sub part questions posted, we will answer first three sub part…

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Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.