Question

B. A soft-drink vending machine is supposed to pour 8 ounces of the drink into a paper cup. However, the actual amount poured into a cup varies. The amount poured into a cup follows a normal distribution with a mean that can be set to any desired amount by adjusting the machine. The standard deviation of the amount poured is always 0.07 ounce regardless of the mean amount. If the owner of the machine wants to be 99% sure that the amount in each cup is 8 ounces or more, to what level should she set the mean?

Answer 1

B. A soft-drink vending machine is supposed to pour 8 ounces of the drink into a paper cup. However, the actual amount poured into a cup varies. The amount poured into a cup follows a normal distribution with a mean that can be set to any desired amount by adjusting the machine. The standard deviation of the amount poured is always 0.07 ounce regardless of the mean amount. If the owner of the machine wants to be 99% sure that the amount in each cup is 8 ounces or more, to what level should she set the mean?

for the 99% ,is it a confinece interval??


the 8 ounce will come under what quantity (n) or (x)??

and is it T-distribution..?

Answer 2

sales manager was interested in determining if there is a relationship between college GPA and sales performance among salespeople hired within the last year. A sample of recently hired salespeople was selected and the number of units each sold last month recorded. The data, scatterplot, regression results, and residual plots appear below.

The regression equation is
Units Sold = - 0.48 + 7.42 GPA

Predictor Coef SE(Coef) T P
Constant -0.484 3.256 -0.15 0.884
GPA 7.423 1.044 7.11 0.000

S = 1.57429 R-Sq = 78.3% R-Sq(adj) = 76.8%

Answer 3

Reject the null

Answer 4

WHAT'S THE NULL???!!!