John is cooking 234 pounds of chicken. He is making a dinner for 8 people, including himself. If everyone gets an equal amount,
1 answer:
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Answer:
0.1994 is the required probability.
Step-by-step explanation:
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
Answer:
the answer is: '-2'
Step-by-step explanation:
" A residual value is a difference between observed y-value(from scatter plot) and the predicted y-value( from regression equation line) ".
when we look at the scatter plot we see that the value of y at is
,and when we substitute the value into the given equation
we get
so, the residual value is given as:
Hence, the residual value at x=-2 is -2.