The level of nitrogen oxides (nox) in the exhaust of cars of a particular model varies normally with standard deviation σ=0.05grams per mile (g/mi). government regulations call for nox emissions no higher than 0.3 g/mi. in testing h0 : μ=0.3versus ha : μ< 0.3using significance level 0.05, we find that the power of this test against an alternative of μ=0.28 based on a random sample of size n = 40 is 0.808.using a larger sample size (n = 50) would select one: a. increase the power of this particular test. b. decrease the power of this particular test. c. increase the probability of a type i error. d. decrease the probability of a type i error.

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?

Customers are used to evaluate preliminary product designs. in the past, 93% of highly successful products received good reviews, 51% of moderately successful products received good reviews, and 14% of poor products received good reviews. in addition, 40% of products have been highly successful, 35% have been moderately successful and 25% have been poor products. round your answers to four decimal places (e.g. 98.) what is the probability that a product attains a good review? (b) if a new design attains a good review, what is the probability that it will be a highly successful product? (c) if a product does not attain a good review, what is the probability that it will be a highly successful product?

If twice a number is at least three less than four times the number, which of the following are true? let n represent the number.