Use what you know about the normal distribution, confidence intervals, or hypothesis testing to determine which of Plan A or Plan B, if either, you would choose to invest in. Include the mathematics you used to make your decision in your argument. Explain why you chose the metric you did (normal distribution, confidence interval, or hypothesis testing). Provide any the calculations to support your response. Use complete sentences and paragraphs, as needed, in your answer. Your financial advisor is offering two investment plans. The return on these investments is normally distributed. Plan A has medium risk,meaning that there is some risk of losing some or all of your money. This plan claims an average return of 3% on your investment with astandard deviation of 0.1%. Plan B has high risk, meaning that there is a stronger chance that you could lose a significant portion of yourinvestment. The plan claims to have an average return of 5% with a standard deviation of 1%.While investigating these plans, you discover that out of a random sample of 100 people who invested in Plan A, 78% of them received anaverage return of 2.75% with a standard deviation of 0.25%. Out of a random sample of 100 people who invested in Plan B, 88% of themexperienced an average return of 3.9% with a standard deviation of 1.2%.DiscussionUse what you know about the normal distribution, confidence intervals, or hypothesis testing to determine which of Plan A or Plan B, ifeither, you would choose to invest in. Include the mathematics you used to make your decision in your argument. Explain why you chosethe metric you did (normal distribution, confidence interval, or hypothesis testing). Provide any the calculations to support your response.Use complete sentences and paragraphs, as needed, in your answer.

Given information: μA=3, σA=0.1μB=5, σB=1 x¯A=2.75, sA=0.25, nA=100x¯B=3.9, sB=1.2, nB=100

Answered: Use what you know about the normal…

MATLAB: An Introduction with Applications

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Use what you know about the normal distribution, confidence intervals, or hypothesis testing to determine which of Plan A or Plan B, if either, you would choose to invest in. Include the mathematics you used to make your decision in your argument. Explain why you chose the metric you did (normal distribution, confidence interval, or hypothesis testing). Provide any the calculations to support your response. Use complete sentences and paragraphs, as needed, in your answer.

Your financial advisor is offering two investment plans. The return on these investments is normally distributed. Plan A has medium risk,
meaning that there is some risk of losing some or all of your money. This plan claims an average return of 3% on your investment with a
standard deviation of 0.1%. Plan B has high risk, meaning that there is a stronger chance that you could lose a significant portion of your
investment. The plan claims to have an average return of 5% with a standard deviation of 1%.
While investigating these plans, you discover that out of a random sample of 100 people who invested in Plan A, 78% of them received an
average return of 2.75% with a standard deviation of 0.25%. Out of a random sample of 100 people who invested in Plan B, 88% of them
experienced an average return of 3.9% with a standard deviation of 1.2%.
Discussion
Use what you know about the normal distribution, confidence intervals, or hypothesis testing to determine which of Plan A or Plan B, if
either, you would choose to invest in. Include the mathematics you used to make your decision in your argument. Explain why you chose
the metric you did (normal distribution, confidence interval, or hypothesis testing). Provide any the calculations to support your response.
Use complete sentences and paragraphs, as needed, in your answer.

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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