Statistics and Probability Answers

Random samples with size 5 are drawn from the population containing the values 26, 32, 41, 50, 58, and 63. Construct the distribution of the mean of all samples.

Random samples with size 5 are drawn from the population containing the values 26, 32, 41, 50, 58, and 63. Determine the number of possible samples with size 5. 

The following are the ages of 8 jeepney passengers in a waiting shed: 12, 15, 18, 19, 21, 23, 35, and 40. The sample with size 7 is chosen to ride in the current jeepney. Find the mean of the sample standard deviations.

The following are the ages of 8 jeepney passengers in a waiting shed: 12, 15, 18, 19, 21, 23, 35, and 40. The sample with size 7 is chosen to ride in the current jeepney. Determine the number of possible samples with size 7

. The annual salaries of four men were $15,000, $16,000, $16,500, and $40,000. 

Find the arithmetic mean of their salaries

Find the corresponding area under the normal curve:the right of z=-1.31

A manufacturer of automobile seats has a production line that produces an average of 100 seats per day. Because of new Government regulations, new safety devices have been installed, which the manufacturer believes will reduce average daily output. A random sample of 15 days output after the installation of the safety devices is shown below:

93, 103, 95, 101, 91, 105, 96, 94, 101, 88, 98, 94, 101, 92, 95

Assuming that the daily output is normally distributed, is there sufficient evidence at the 5% level of significance, to conclude that average daily output has decreased following the installation of the safety devices?

18, 19, 21, 27, 20

A new drug on the market is claimed by its manufacturers to reduce overweight women by 4.55 kg per month with a standard deviation of 0.91 kg. Forty women chosen at random have reported losing an average of 4.05 kg within a month. Does this data Suppose the claim of the manufacturer at 0.05 level of significance? Use the five steps of hypothesis.

A new drug on the market is claimed by its manufacturers to reduce overweight women by 4.55 kg per month with a standard deviation of 0.91 kg. Forty women chosen at random have reported losing an average of 4.05 kg within a month.