Answer: Reject the eight- ounces claim.
Step-by-step explanation:
For left tailed test , On a normal curve the rejection area lies on the left side of the critical value.
It means that if the observed z-value is less than the critical value then it will fall into the rejection region other wise not.
As per given ,
Objective : A coffee-dispensing machine is supposed to deliver eight ounces of liquid or less.
Then ,
, since alternative hypothesis is left-tailed thus the test is an left-tailed test.
the critical value for z for a one-tailed test with the tail in the left end is -1.645 and the obtained value is -1.87.
Clearly , -1.87 < -1.645
⇒ -1.87 falls under rejection region.
⇒ Decision : Reject null hypothesis.
i.e. we reject the eight- ounces claim.
C.
12/30=0.4
You should really learn how to do probabilities. They don't go away after like the sixth grade.
Answer:
Option A. 17.6%
Step-by-step explanation:
Since it is given that stems are in whole percent and leaves are tenths of percent which means if we take the first steam value of 5 7;
it means that 5 is whole percent and 7 will be written as 
= 0.7 percent which as a whole indicate that the first stem leaf represent 5.7% of residents aged 65 and over.
Now the highest percent of older residents for Florida will be the last stem leaf in the data given as 17 + 0.6 will represent 17.6% which is the highest among all others.
5.7% is the lowest of them all and there is no value as of 176% in the given stem leaf plot data.
Therefore option A id correct with 17.6% percent as of Florida.
So i think here you would FOIL. so -5x^2+10x-5x+10 and then combine like terms :)
25 goes into 200 exactly 8 times.
