Four different types of solar energy collectors were tested. Each was tested at five randomly chosen times, and the power (in watts) was measured. The results were as follows: Collector Power
A 1.9 1.6 2.0 1.8 1.6
B 1.7 1.9 1.8 1.7 1.7
C 1.2 0.9 1.2 0.9 1.4
D 1.5 1.0 1.4 1.3 1.4
a) If possible, check the assumptions of the ANOVA model for this problem. If not possible, state why.
b) Plot boxplots of the power generated by different collectors. Comment on the results.
c) Estimate mean power of collector C using a 95% confidence interval.
d) Does the mean power differ for different collectors? Please state appropriate hypotheses
e) If the mean power differs for different collectors, which collector types are different from each other? Justify your answer by providing appropriate confidence intervals. Use simultaneous confidence level of 95%.

okay so 15.15 *()5: +5/6

step-by-step explanation:

describing distributions is one of the key skills you’ll need to earn a high score on the ap statistics exam. if you need proof of this, just flip through some past exam questions, which can be found at the collegeboard website. you’ll notice that the first free response question is almost always a question requiring you to look at a graph and describe it.

step-by-step explanation: just trying to get points sorry : (

correct choice is b

step-by-step explanation:

when you calculate the average rate of change of a function, you are finding the slope of the secant line between the two points. for the function the average rate of change from point to point can be calculated as

to find the average rate of change from day 2 to day 10, note that at day 2, 8 houses were sold, so a(2,8) and at day 10, 2 houses were sold, so b(10,2). thus,