Answer:
The probability that a family spends less than $410 per month
P( X < 410) = 0.1151
Step-by-step explanation:
<u><em>Step(i):-</em></u>
<em>Given mean of the population = 500 </em>
<em>Given standard deviation of the Population = 75</em>
Let 'X' be the variable in normal distribution

<em>Given X = $410</em>
<em></em>
<em></em>
<u><em>Step(ii):-</em></u>
The probability that a family spends less than $410 per month
P( X < 410) = P( Z < - 1.2 )
= 0.5 - A( -1.2)
= 0.5 - A(1.2)
= 0.5 - 0.3849 ( ∵from normal table)
= 0.1151
<u>Final answer:-</u>
The probability that a family spends less than $410 per month
P( X < 410) = 0.1151
Answer:
32500 Days
Step-by-step explanation:
×
= 
We know that there are 24 hours in a day.
⇒24 Hours = 1 Day
therefore
hours =
Days
Answer: Given a sample of 200, we are 90% confident that the true proportion of people who watched educational TV is between 72.1% and 81.9%.
Step-by-step explanation:


=0.049
0.77±0.049< 0.819, 0.721
Let us assume that a person works for 8 hours a day.
Let us assume that the person works for 5 days a week.
Wage earned per hour = $15
So, wage earned in 8 hours = 15*8 = $120
Now, wage earned in 1 day = 120
So, wage earned in 5 days = 120*5 =$600
As the person works for 5 days in 1 week
So, in 50 weeks, he will work = 50*5 = 250 days
So, total number of hours he must have worked = 250*8 =2000 hours
Now, per hour wage = $15
wage in 2000 hours = 15*2000 = $30000
Hence, the estimated wage a person earns in 50 weeks = $30000
Answer: 
Step-by-step explanation:
given data:
height of the statue = 80m.
base of the statue =
.
scale of the statue replica = 1:15.
<u><em>solution:</em></u>


= 
the area of the replica is 