Use the standard normal distribution or the t-distribution to construct a 99% confidence interval for the population mean. Justify your decision. If neither distribution can be used, explain why. Interpret the results. In a random sample of 40 people, the mean body mass index (BMI) was 26.7 and the standard deviation was 6.15. Which distribution should be used to construct the confidence interval? Choose the correct answer below. O A. Use a t-distribution because the sample is random, n2 30, and o is unknown. O B. Use a t-distribution because the sample is random, the population is normal, and o is unknown. O C. Use a normal distribution because the sample is random, the population is normal, and o is known. O D. Use a normal distribution because the sample is random, n2 30, and o is known. O E. Neither a normal distribution nor a t-distribution can be used because either the sample is not random, orn<30, and the population is not known to be normal. Select the correct choice below and, if necessary, fill in any answer boxes to complete your choice. O A. The 99% confidence interval is (,). (Round to two decimal places as needed.) O B. Neither distribution can be used to construct the confidence interval.

Q: could you explain the steps you took to get there ?

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Q: Can you explain how you found part b? It does not make sense to me

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Q: Can you clarify the answer for the second step (a) ? It says that it's wrong.

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Q: X y X > -4 6 -6 7 -3 0 -5 0 -2 -4 -4 -5 -1 -6 -3 -8 0 -6 -2 -9 1 -4 2 0 -1 0 -8 -5 3 6 1 0 4 14 2 7…

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Q: why part b and c you not solved ?

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Q: need B and C of this answered

A: Given

Q: My question was how to solve it ? I neeed to know how to do it step-by-step too.

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Q: How do you solve this problem?

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Q: Answer this problem correctly

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Q: please check my work for this problem. thank you.

A: Yes your work is correct. Well done.

Q: How would I go about doing d and e?

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Q: Can you perform parts iii and iv in R please?

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Q: Can you teach people a simpler way to do this?

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Q: these ans

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Q: could you actually show the work for the answer?

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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.