assume that the weights of 18-year old males in a population follow a normal distribution with mean 65 kg and standard deviation 11 kg. a) find the probability that a randomly chosen male weighs more...

1 answer below »
assume that the weights of 18-year old males in a population follow a normal distribution with mean 65 kg and standard deviation 11 kg. a) find the probability that a randomly chosen male weighs more than 70 kg b) find the interquartile range of the weights in the population c) find the weight exceeded by 7.3 % of the population d) eight boys are chosen at random from the population. find the probability that at most three of them weigh at least 70 kg e) in a sample of 1000 taken from the population, estimate how many would weigh below 60 kg
Answered 45 days AfterNov 22, 2021

Answer To: assume that the weights of 18-year old males in a population follow a normal distribution with mean...

Suraj answered on Jan 07 2022
129 Votes
Let X be the random variable denotes the weight of 18-year-old males follows normal distribution.
A
ssume that the weights of 18-year-old males in a population follow a normal distribution with mean 65 kg and standard deviation 11 kg.
Hence, .
a)
The probability that a randomly chosen male weighs more than 70 kg is calculated as follows:
(Using Standard normal table)
Hence, the probability that a randomly chosen male weighs more than 70 kg is 0.3247.
b)
The interquartile range is difference between first and third quartile.
The first quartile is calculated as follows:
From standard normal table value of c is -0.675.
Hence,
The third quartile is calculated as follows:
From standard normal table...
SOLUTION.PDF

Answer To This Question Is Available To Download

Related Questions & Answers

More Questions »

Submit New Assignment

Copy and Paste Your Assignment Here
April
January
February
March
April
May
June
July
August
September
October
November
December
2025
2025
2026
2027
SunMonTueWedThuFriSat
30
31
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
1
2
3
00:00
00:30
01:00
01:30
02:00
02:30
03:00
03:30
04:00
04:30
05:00
05:30
06:00
06:30
07:00
07:30
08:00
08:30
09:00
09:30
10:00
10:30
11:00
11:30
12:00
12:30
13:00
13:30
14:00
14:30
15:00
15:30
16:00
16:30
17:00
17:30
18:00
18:30
19:00
19:30
20:00
20:30
21:00
21:30
22:00
22:30
23:00
23:30