Answer:
Step-by-step explanation:
Given that for a sample size of 25, sample mean = 102 lbs. and sample std deviation = 10 lbs.

(Right tailed test)
Given that we assume population is normally distributed
Test statistic:
Mean difference = +2
Std error of sample = 
t = test statistic = Mean diff/Std error 
degree of freedom
Critical value of t = 1.711
Our test statistic >1.71
Accept alternate hypothesis
Because there is significant difference between the test statistic and test statistic lies above critical value.
14,28,42,56,70,84,98,112,126,140,154,168,182,196,210,224,238,252,266,280,294,308,
Is that enough?
10 lbs/$12= 1 lb/x dollars.
If you rewrite it up and down and not slanted, it would be clearer to understand, but anyways, you cross multiply:
12*1=12
12/10= 1.2
So the answer is 1.2, if you put it on that bubble sheet, put 1, then a decimal, after the decimal 2, and then all 0's,.
I think that answer would be C