You are interested in estimating the mean of a population. you plan to take a random sample from the population and use the sample's mean as an estimate of the population mean. assuming that the population from which you select your sample is normal, which of the statements about m are true? check all that apply. the standard deviation of the sampling distribution of m is equal to the standard deviation of the population divided by the squareroot of the sample size. you can only assume that the sampling distribution of m is normally distributed for sufficiently large sample sizes. you can assume that the sampling distribution of m is normally distributed for any sample size. the expected value of the sampling distribution of m is equal to the value of the population mean divided by the sample size.

3 1/3 x 2 3/5 = 8 2/3

step-by-step explanation:

just multiply the first number by the second number to get your answer.

  or  

step-by-step explanation:

if the four friends split the cost, p, of the pizza evenly, then each friend pays one-fourth of the cost of the pizza.

the expression is   or  

the above table 1 will calculate the population size (n) after a certain length of time (t). all you need to do is plug in the initial population number (no), the growth rate (r) and the length of time (t). the constant (e) is already entered into the equation. it stands for the base of the natural logarithms (approximately 2.71828). growth rate (r) and time (t) must be expressed in the same unit of time, such as years, days, hours or minutes. for humans, population growth rate is based on one year. if a population of people grew from 1000 to 1040 in one year, then the percent increase or annual growth rate is 40/1000 x 100 = 4 percent.

step-by-step explanation:

56 44 2 4

step-by-step explanation: