An srs of 400 high school seniors gained an average of x = 20 points in their second attempt at the sat mathematics exam. assume that the change in score has a normal distribution with standard deviation σ-51.
(a) find a 99% confidence interval for the mean change in score t, in the population of all high school seniors. (enter your answers rounded to two decimal places.)
lower bound of
interval upper bound of confidence interval:
(b) what is the margin of error for 99%? (enter your answer rounded to two decimal places.)
margin of error:
(c) suppose we had an srs of just 100 high school seniors. what would be the margin of error for 99% confidence? (enter your answer rounded to three decimal places.)
margin of

Solve the equation using the given values: x= -2.5; y= -7.51. 2xy + 2x²

Desmond wants to sell his car that he paid $8,000 for 2 years ago. the car depreciated, or decreased in value, at a constant rate each month over a 2-year period. if x represents the monthly depreciation amount, which expression shows how much desmond can sell his car for today? 8,000 + 24x 8,000 - 24x 8,000 + 2x 8,000 - 2xdesmond wants to sell his car that he paid $8,000 for 2 years ago. the car depreciated, or decreased in value, at a constant rate each month over a 2-year period. if x represents the monthly depreciation amount, which expression shows how much desmond can sell his car for today? 8,000 + 24x 8,000 - 24x 8,000 + 2x 8,000 - 2x

1. the manager of collins import autos believes the number of cars sold in a day (q) depends on two factors: (1) the number of hours the dealership is open (h) and (2) the number of salespersons working that day (s). after collecting data for two months (53 days), the manager estimates the following log-linear model: q 4 equation 1 a. explain, how to transform the log-linear model into linear form that can be estimated using multiple regression analysis. the computer output for the multiple regression analysis is shown below: q4 table b. how do you interpret coefficients b and c? if the dealership increases the number of salespersons by 20%, what will be the percentage increase in daily sales? c. test the overall model for statistical significance at the 5% significance level. d. what percent of the total variation in daily auto sales is explained by this equation? what could you suggest to increase this percentage? e. test the intercept for statistical significance at the 5% level of significance. if h and s both equal 0, are sales expected to be 0? explain why or why not? f. test the estimated coefficient b for statistical significance. if the dealership decreases its hours of operation by 10%, what is the expected impact on daily sales?