Suppose a data distribution is normally distributed with the population mean µ = 60 and  the population standard deviation σ = 15. To find the probability of a randomly selected  value less than 45, we have to find the portion of the area under the normal curve from 45  all the way to the left. i. Whether the statement given in the question and the above graph are correct  according to the situation. Please justify properly ii. What if we have to find the 90% percentile of the data? iii. Why the scale of the graph does not show -∞ to +∞

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b) Suppose a data distribution is normally distributed with the population mean µ = 60 and  the population standard deviation σ = 15. To find the probability of a randomly selected  value less than 45, we have to find the portion of the area under the normal curve from 45  all the way to the left.

i. Whether the statement given in the question and the above graph are correct  according to the situation. Please justify properly

ii. What if we have to find the 90% percentile of the data?

iii. Why the scale of the graph does not show -∞ to +∞

iv. Find the probability of randomly selected value that makes more than 80, given  the same normal distribution.

v. Will finite population correction will be applied here, Justify your answer with all  the proofs.

vi. What is the impact of standard error?

Plz answer the first 3 parts

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