Topic
Q:
1. If \( 60 \% \) of the employees of company T in
HR department have MBA degree and
\( 40 \% \) of the employees of the same company
in the Marketing dept. have MBA degree,
then how many employees have MBA
degree in company T in both dept. together.
\( \begin{array}{ll}\text { (1) } 98 & \text { (2) } 108 \\ \text { (3) } 106 & \text { (4) } 92 \\ \text { (5) } 66 & \end{array} \)
Q:
The mean and variance of a distribution
are 40 and 625 , respectively. Find the
median if the skewness is -0.2
Q:
(b) The goodness - of - fit test seeks to find out if a given set of
observations is drawn from a specified distribution. Explain this statement.
Q:
2. Find the coefficient of skewness of the following data set: \( 5,10,15,17,20,35 \).
Interpret the results. hiven: \( 5,10,15,17,20,39 \)
Q:
from the argument he made. Is this margin large enough to disagree with his
statement? Use \( 4 \% \) significance level.
Q4. (a) What is contingency table in goodness -of - fit test? Give an example.
Q:
A species of endangered tigers has a population in 2023 of
about 900 , and that number is expected to decline by about
\( 5 \% \) each year. If this rate continues, what would we predict
the tiger population to be in 2040 ?
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Q:
A species of endangered tigers has a population in 2023 of
about 900, and that number is expected to decline by about
\( 5 \% \) each year. If this rate continues, what would we predict
the tiger population to be in 2040?
Question Help: \( \square \) Message instructor
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Q:
Diberi bahawa satu set data yang terdiri
daripada \( 2,4,6 \) dan 7 mempunyai varians 2.96 .
Hitung nilai varians yang baharu bagi set itu,
sekiranya setiap nilai dalam set itu didarab
dengan dua.
Q:
Assume that women's heights are normally distributed with a mean given by \( \mu=62.5 \mathrm{in} \), and a standard deviation given by \( \sigma=2.7 \mathrm{in} \).
(a) If 1 woman is randomly selected, find the probability that her height is less than 63 in .
(b) If 39 women are randomly selected, find the probability that they have a mean height less than 63 in .
Q:
Assume the random variable \( X \) is normally distributed with mean \( \mu=50 \) and standard deviation \( \sigma=7 \). Find the 81 st percentile.
The 81st percentile is \( \square \).
(Round to two decimal places as needed.)
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