Statistics and Probability Answers

You volunteered to be a part of the medical mission in your barangay and in charge to get weight of the children. The weight of 1000 children have an average of 45 kilograms and a standard deviation of 5 kilograms. A. How many children weight 35 kg to 55kg.B.How many are in the upper 10% of the population. C. Estimate the range of the number of children weighing.

On a Physicians Licensure Exam with a population mean of 83 and standard deviation of 8. Jenny scores 4 points below the mean, Jeffrey had a score of x=84 and Jolly had a z-score of 0.30. Place these three students in order from the lowest to highest.

A sample of size 3 is taken from a population of the number of students in each class of Grade 9 students listed as 25, 30, 35, and 40.

Compare the population mean and the sampling distribution of the sample means.

A sample of size 3 is taken from a population of the number of students in each class of Grade 9 students listed as 25, 30, 35, and 40.

Compute for the mean of the sampling distribution of the sample means.

A sample of size 3 is taken from a population of the number of students in each class of Grade 9 students listed as 25, 30, 35, and 40.

Create a histogram

A sample of size 3 is taken from a population of the number of students in each class of Grade 9 students listed as 25, 30, 35, and 40.

Construct the sampling distribution of the sample means

Suppose three coins are tosted.Let Y be the random variable representing the number of tails that occur.Find the values of the random variable Y.Make a table to show the values of the random variable

There are 7 defective light bulbs in a bin containing 80 light bulbs. In how many ways can you select at

least 6 defective light bulbs when you choose 8 light bulbs at random?

Problem: A sample with size n = 4 is drawn from the set 5, 6, 9, 12a 13. Construct the sampling distribution of the means. Find the mean and the standard deviation. Include your solution and box your final answer in mu overline x and 2 sigma overline x

A manufacturer of light bulbs produces bulbs that last a mean of 950 hours with a standard deviation of 120 hours. What is the probability that the mean lifetime of a random sample of 10 of these bulbs is less than 900 hours? what is the sampling distribution of the sample means