Mathematics, 29.07.2019 17:30, anayabeatriz
Explain why increasing the sample size tends to result in a smaller sampling error when a sample mean is used to estimate a population mean. a. the above statement is incorrect, the sample size has no effect on the sampling error. b. the larger the sample size, the more closely the possible values of \bar{x} cluster around the mean of \bar{x} c. if the sample size is larger, the possible values of \bar{x} are farther from the mean of \bar{x},
Answers: 1
Mathematics, 21.06.2019 15:30, CoreyHammond1517
Click on the y intercept. -x +4 i know you cant click on it so could you just say the coordinates like (example - (1,0) you so much.
Answers: 2
Mathematics, 21.06.2019 16:30, jlewis711777
What are “like terms”? why can we only add like terms?
Answers: 1
Mathematics, 21.06.2019 21:30, xaguilar
Data from 2005 for various age groups show that for each $100 increase in the median weekly income for whites, the median weekly income of blacks increases by $105. also, for workers of ages 25 to 54 the median weekly income for whites was $676 and for blacks was $527. (a) let w represent the median weekly income for whites and b the median weekly income for blacks, and write the equation of the line that gives b as a linear function of w. b = (b) when the median weekly income for whites is $760, what does the equation in (a) predict for the median weekly income for blacks?
Answers: 2
Explain why increasing the sample size tends to result in a smaller sampling error when a sample mea...
Mathematics, 18.03.2021 02:40
Mathematics, 18.03.2021 02:40
Mathematics, 18.03.2021 02:40
Mathematics, 18.03.2021 02:40