Answer:
P(2.50 < Xbar < 2.66) = 0.046
Step-by-step explanation:
We are given that Population Mean,
= 2.58 and Standard deviation,
= 0.75
Also, a random sample (n) of 110 households is taken.
Let Xbar = sample mean household size
The z score probability distribution for sample mean is give by;
Z =
~ N(0,1)
So, probability that the sample mean household size is between 2.50 and 2.66 people = P(2.50 < Xbar < 2.66)
P(2.50 < Xbar < 2.66) = P(Xbar < 2.66) - P(Xbar
2.50)
P(Xbar < 2.66) = P(
<
) = P(Z < -1.68) = 1 - P(Z 1.68)
= 1 - 0.95352 = 0.04648
P(Xbar
2.50) = P(
) = P(Z
-3.92) = 1 - P(Z < 3.92)
= 1 - 0.99996 = 0.00004
Therefore, P(2.50 < Xbar < 2.66) = 0.04648 - 0.00004 = 0.046
Since the width of each math textbook is 0.75 you have to find a number that multiplied by 0.75 will be equal 18
so, 0.75 x 24 = 18
18 books can be placed in the shelf
1/12. There are 12 possibilities, and only one number under 2.
Answer: t _(α/2) = 2.060
Step-by-step explanation:
Given that;
sample size n = 26
confidence interval = 95%
level of significance α = ( 1 - 95/100 ) = 0.05
but from the question the salaries (26) are use to estimate the mean of the population so, its a two tail test
therefore our level if significance α will be divided by 2 = 0.05/2 = 0.025
now our degree of freedom df = 26 - 1 = 25
FROM standard t-table value
the critical value of t for the level of significance 0.025
and 25 degree of freedom is 2.060
therefore, t _(α/2) = 2.060
75%= 3/4
120*4=480
480/3=160
160/10=16
16*4=64
Hope you understand it