Answer:
2 and 4.
Step-by-step explanation:
(x+2)^2 - x^2 = 12
x^2 + 4x + 4 - x^2 = 12
4x + 4 = 12
4x = 8
x = 2.
Hence the integers are 2 and 4.
0.1994 is the required probability.
We are given the following information in the question:
Mean, μ = 166 pounds
Standard Deviation, σ = 5.3 pounds
Sample size, n = 20
We are given that the distribution of weights is a bell shaped distribution that is a normal distribution.
Formula:
Standard error due to sampling =
P(sample of 20 boxers is more than 167 pounds)
Calculation the value from standard normal z table, we have,
0.1994 is the probability that the mean weight of a random sample of 20 boxers is more than 167 pounds
11 degrees
Starting from -8 and counting upwards towards 0 then on to 19
-8 , -7 , -6 , -5 , -4 , -3 , -2 , -1 , 0 , 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19
Add 6 + 6 = 12
Multiple 12 * 2 = 24
Multiple 24 * 1 = 24