Answer should be 2, 7/2 hopefully this helped ^^
Answer:

Step-by-step explanation:
Given the mean is 3.2, standard deviation is 0.8 and the sample size is 64.
-We calculate the probability of a mean of 3.4 as follows:
#First determine the z-value:

#We then determine the corresponding probability on the z tables:

Hence, the probability of obtaining a sample mean this large or larger is 0.0228
Answer:
First, calculate 18% of 23.
23 x 0.18 = 4.14
Then, add this value (the increase) to the original value of 23.
23 + 4.14 = 27.14
Rounding off, we get 27.
Step-by-step explanation:
There are 678 meters inkilometersmeters
A)
x 0 1 2 3 4
y 5 10 15. 20. 25
b) x 0 1 2 3. 4
y 1. 10. 37. 82. 145