A team of researchers suspect that there is a difference between the before and after scores; such that, the after scores will be significantly lower compared to the before scores. They run a SPSS analysis to test for a significant difference between the two groups. Enter this data into SPSS and conduct the appropriate test for this analysis. Before scores (14, 17, 11, 13, 17, 18, 11, 12). After scores (2, 4, 6, 8, 10, 12, 12, 16). Intrepret the output tables and select the correct statistical statement based on the results of the analysis: Select one:
a. t(7) = 2.72, p = .029
b. t(7) = 2.72, p = .057
c. t(7) = 2.97, p = .021
d. t(7) = 2.97, p = .011
e. t(7) = 2.63, p = .034
f. t(7) = 2.63, p = .017

option 1

data plot with   3 dots over 33, 1 dot over 34, 2 dots over 35, no dot over 36, 1 dot over 37, 2 dots over 38, 4 dots over 39, and 2 dot over 40.

i dont know if you cant find a way its best to actually add all of them start from 105 tho

step-by-step explanation:

answer: 177/8

step-by-step explanation:

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,