Acompany manufactures tennis balls. when its tennis balls are dropped onto a concrete surface from a height of 100 inches, the company wants the mean height the balls bounce upward to be 55.4 inches. this average is maintained by periodically testing random samples of 25 tennis balls. if the t-value falls between minus−t 0.90 and t 0.90, then the company will be satisfied that it is manufacturing acceptable tennis balls. a sample of 25 balls is randomly selected and tested. the mean bounce height of the sample is 56.6 inches and the standard deviation is 0.25 inch. assume the bounce heights are approximately normally distributed.
is the company making acceptable tennis balls?

Step-by-step explanation:

Let X be the average of tennis balls.  

mu = 55.4 inches

Hypotheses:

H_0: x bar = 55.4\\

H_a: x bar \neq 55.4

(Two tailed test at 10% significance level)

n = 25:  x bar = 56.6 and s = 0.25

STd error =s/sqrt 25 = 0.05

Mean diff = 56.6-55.4 = 1.2"

t statistic = 1.2/0.05 = 24

df= 24

t critical value = ±1.318

Since t statistic lies outside this we reject null hypothesis

The company does not manufacture acceptable tennis balls and this is evidence at 90% confidence interval

a. turk and mcalister

b. howard, mission, and market

c. yes. since streets end some do not cross yet are not parallel to others. example: mcalister and 5th

step-by-step explanation:

parallel lines are lines which do not intersect ever and look a lot like railroad tracks. turk, mcalister and golden gate are examples of these.

intersect are streets which cross each other and a car on one can reach the other. howard, mission, and market intersect with 6th.

skew lines are lines which neither intersect nor are parallel. these lines exist here because some streets end and never intersect another like mcalister and 5th.