Answer:
Hello! answer: y = 40 x = 67
Step-by-step explanation:
63 - 23 = 40 therefore y = 40
63 + 63 = 126 360 - 126 = 234 234 ÷ 2 = 117
67 × 2 = 134 134 - 17 = 117 therefore x = 67 hope that helps!
Answer:
a) 81.5%
b) 95%
c) 75%
Step-by-step explanation:
We are given the following information in the question:
Mean, μ = 266 days
Standard Deviation, σ = 15 days
We are given that the distribution of length of human pregnancies is a bell shaped distribution that is a normal distribution.
Formula:

a) P(between 236 and 281 days)

b) a) P(last between 236 and 296)

c) If the data is not normally distributed.
Then, according to Chebyshev's theorem, at least
data lies within k standard deviation of mean.
For k = 2

Atleast 75% of data lies within two standard deviation for a non normal data.
Thus, atleast 75% of pregnancies last between 236 and 296 days approximately.
Answer:
Trevon scored -8.
Beth's score was 3/4 of trever's score = -8 *3/4 = -6
leah's score was 1/4 of beth's score. = -6 *1/4 = -1.5
Leah's score was -1.5
Answer:
-17x-1
Step-by-step explanation:
Answer:
P(X
74) = 0.3707
Step-by-step explanation:
We are given that the score of golfers for a particular course follows a normal distribution that has a mean of 73 and a standard deviation of 3.
Let X = Score of golfers
So, X ~ N(
)
The z score probability distribution is given by;
Z =
~ N(0,1)
where,
= population mean = 73
= standard deviation = 3
So, the probability that the score of golfer is at least 74 is given by = P(X
74)
P(X
74) = P(
) = P(Z
0.33) = 1 - P(Z < 0.33)
= 1 - 0.62930 = 0.3707
Therefore, the probability that the score of golfer is at least 74 is 0.3707 .