The average customer waiting time at a fast food restaurant has been 7.5 minutes. the customer waiting time has a normal distribution. the manager claims that the use of a new system will decrease average customer waiting time in the store. what is the null and alternative hypothesis for this scenario? (ch10)

a. h0: m =7.5 and h1: m ? 7.5

b. h0: m < =7.5 and h1: m > 7.5

c. h0: m > =7.5 and h1: m < 7.5

d. h0: m < 7.5 and h1: m > =7.5

e. h0: m > 7.5 and h1: m < = 7.5

C . and

Step-by-step explanation:

Definition:

Null hypothesis is a statement about the population parameter according to the objective raised by the researcher . It contains '=' , '≤' and  '≥' signs.

Alternative hypothesis is also a statement about the population parameter but against null hypothesis  . It contains '≠' , '<' and  '>' signs.

Let be the average customer waiting time for the population.

Given : The average customer waiting time at a fast food restaurant has been 7.5 minutes.

Objective of test : After using new system ,  the average customer waiting time is at least 7.5 or less than 7.5.

Then, the null and alternative hypothesis for this scenario will be :

i think there was a typo. you wrote pat brings 3 quarts of ice-cream to the party. each serving of ice-cream is 1 6 quart. how many total servings of ice-cream does pat bring to the party? i think the bold is supposed to be 1/6. so 1 quart of ice cream = 6 servings. 6 * 3 = 18.

the answer is (-8,-5)

step-by-step explanation:

the endpoint to midpoint is half the length. the length is (-2,-1) so when you are at the midpoint just add it to it to find your answer -6+(-2)= -8 and -4+(-1)=-5 so (-8,-5)