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:
P(X<3) = 0.01004
Step-by-step explanation:
From the given information:
Consider the application of Poisson distribution
with the parameter
;
Therefore, we can calculate the required probability as follows:
P(X< 3) = P(X = 0) + P(X = 1) + P(X =2)


P(X<3) = 0.01004
Answer:
csc θ =
/6
sec θ =
/7
tan θ = 6/7
Step-by-step explanation:
The first thing to do will be to compute the length of the hypotenuse using the Pythagoras theorem;
6^2 +7^2 = hypotenuse^2
hypotenuse = 
csc θ = 1/sinθ
sinθ = opposite side/hypotenuse
= 6/
csc θ =
/6
sec θ = 1/cosθ
cosθ = adjacent side/hypotenuse
sec θ = hypotenuse/adjacent side
=
/7
tan θ = Opposite side/adjacent side
= 6/7
Answer: x^2 - 13x + 13
Step-by-step explanation:
Answer:
Slope is 1/2
Step-by-step explanation:
Brainliest please!