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:
The predicted life expectancy of men in a country in which the life expectancy of women is 70 years is 65.33 years.
Step-by-step explanation:
The least square regression line is used to predict the value of the dependent variable from an independent variable.
The general form of a least square regression line is:

Here,
<em>y</em> = dependent variable
<em>x</em> = independent variable
<em>α</em> = intercept
<em>β</em> = slope
The regression line to predict the life expectancy of men in a country from the life expectancy of women in that country is:

Compute the life expectancy of men in a country in which the life expectancy of women is 70 years as follows:


Thus, the predicted life expectancy of men in a country in which the life expectancy of women is 70 years is 65.33 years.
Answer:
20
Step-by-step explanation:
The weight Kristen can lift is 1.3 times more than Jane's
<h3>How to determine the number of times?</h3>
The given paramater can be represented using the following equation
Kristen = 133% * Jane
Express the percentage as decimal
Kristen = 1.33 * Jane
Hence, the weight Kristen can lift is 1.3 times more than Jane's
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