Hi! Good day, ma'am or sir. I need an answer for the following attached photos. I need solution for each part. This is not rush. Explanation is not necessary, only solution. I need help to understand this lesson please. This will be helpful to me.

A. Lesson: key concepts of Applying the Normal Curve Concepts in Problem Solving.

A. Answer the following problems completely. Show your solutions. 1. Suppose salaries at a very large corporation have a mean of P60,000 and a standard deviation of P26,000. If 100 employees are randomly selected what is the probability that their average salary exceeds P65,000. 2. The weights of males are normally distributed with a mean of 185 lbs and a standard deviation of 15 Ibs. a. Find the probability that a randomly selected male weighs less than 90 Ibs. b. Find the probability that 20 randomly selected males will have a mean weight that is less 190 lbs.A. Answer the following problems completely. Show your solutions on the boxes below. 1. We want to estimate the average weight for the adult male population. The average weight of 100 randomly selected adult males is 180 Ibs. Assume a population standard deviation of 20 lbs. Compute 95% Confidence interval for the population average weight. 2. The test scores of 9 randomly selected students are 83,73,62,63,71,77,77,59,92. Compute the 99% confidence interval of the true mean.b. What length of time marks the shortest 70% of all pregnancies?A. Answer the following problems completely. Show your solutions on the boxes below 1. Most graduate schools of business require applicants for admission to take the Graduate Management Admission Council's GMAT examination. Scores on the GMAT are roughly normally distributed with a mean of 527 and a standard deviation of 112. a. What is the probability of an individual scoring above 500 on the GMAT? b. How high must an individual score on the GMAT in order to score in the highest 5%? 2. The isnyus er human pregnancies from conception to birth approximates a normal distribution with a mean of 266 days and a standard deviation of 16 days. a. What proportion of all pregnancies will last between 240 and 270 days (roughly between 8 and 9 months)