statistics
Score=6.6
STAT 200 Week 3 Homework Problems
4.1.4
A project conducted by the Australian Federal Office of Road Safety asked people many questions about their cars. One question was the reason that a person chooses a given car, and that data is in table #4.1.4 ("Car preferences," 2013).
Table #4.1.4: Reason for Choosing a Car
|
Safety |
Reliability |
Cost |
Performance |
Comfort |
Looks |
|
84 |
62 |
46 |
34 |
47 |
27 |
Find the probability a person chooses a car for each of the given reasons.
|
Safety |
Reliability |
Cost |
Performance |
Comfort |
Looks |
|
84/300=0.28 |
62/300=0.21 |
46/300=0.15 |
34/300=0.11 |
47/300=0.16 |
27/300=0.09 |
4.2.2
Eyeglassomatic manufactures eyeglasses for different retailers. They test to see how many defective lenses they made in a time period. Table #4.2.2 gives the defect and the number of defects.
Table #4.2.2: Number of Defective Lenses
|
Defect type |
Number of defects |
|
Scratch |
5865 |
|
Right shaped – small |
4613 |
|
Flaked |
1992 |
|
Wrong axis |
1838 |
|
Chamfer wrong |
1596 |
|
Crazing, cracks |
1546 |
|
Wrong shape |
1485 |
|
Wrong PD |
1398 |
|
Spots and bubbles |
1371 |
|
Wrong height |
1130 |
|
Right shape – big |
1105 |
|
Lost in lab |
976 |
|
Spots/bubble – intern |
976 |
a.) Find the probability of picking a lens that is scratched or flaked.
P(s or f)
= p (s) + p (f)
=5865/25891 + 1992/25891
=0.23 +0.08
=0.31
b.) Find the probability of picking a lens that is the wrong PD or was lost in lab.
=0.05 +0.04
=0.09
c.) Find the probability of picking a lens that is not scratched.
=1- p(s)
=1- 0.23
=0.77
d.) Find the probability of picking a lens that is not the wrong shape.
=1 – p (ws)
=1- 0.06
=0.94
(0.0)4.2.8
In the game of roulette, there is a wheel with spaces marked 0 through 36 and a space marked 00.
a.) Find the probability of winning if you pick the number 7 and it comes up on the wheel.
=p 7 x p 00
=1/37 x 1/2
=0.014
b.) Find the odds against winning if you pick the number 7.
=1-0.014
=0.986
c.) The casino will pay you $20 for every dollar you bet if your number comes up. How much profit is the casino making on the bet?
=$ 20 x 0.986
=$19.72
(Total number of spaces in the wheel is 38.
a.) There is only one space with 7. Therefore, P(7) =
b.) odds against winning with a 7 =
c.) $1 gets you $20. If the casino had used the actual odds against, for every $1 you would get $37. So the casino makes a profit of $17 for every $1 bet.)
nPr= n! / (n-r)!
=151200
4.4.12 How many ways can you choose seven people from a group of twenty?
= 77520
(0.6)5.1.2
Suppose you have an experiment where you flip a coin three times. You then count the number of heads.
a.) State the random variable.
Heads
b.) Write the probability distribution for the number of heads.
X= 1 if Heads, 0 otherwise
c.) Draw a histogram for the number of heads.
Elementary event Value of X
TTT 0
TTH 1
THT 1
HTT 1
THH 2
HTH 2
HHT 2
HHH 3
d.) Find the mean number of heads.
=12/8
=1.5 (Mean needs not be an integer)
e.) Find the variance for the number of heads.
=(-4) ^2/ 7
=2.286
()
f.) Find the standard deviation for the number of heads.
=sqrt 2.286
=1.51
()
g.) Find the probability of having two or more number of heads.
= 4/8
=0.5
h.) Is it unusual to flip two heads?
No. there is a fifty-fifty change of getting two heads.
(0.0)5.1.4
An LG Dishwasher, which costs $800, has a 20% chance of needing to be replaced in the first 2 years of purchase. A two-year extended warranty costs $112.10 on a dishwasher. What is the expected value of the extended warranty assuming it is replaced in the first 2 years?
Ev = p (x) * n
=0.20 x 112.10
=$22.42
(Let the random variable x = net value of the extended warranty.
If the dishwasher does not need to be replaced in the first two years, then the consumer will not get the $112.10 back, which means the net value is -112.10.
If the dishwasher needs to be replaced in the first two years, the net value for the warranty is 800 – 112.10 = 687.90 as the consumer has paid $112.10 upfront. In summary, the probability distribution for the net value is shown in the table below:
Expected value =
So in terms of the LG dishwasher, it makes sense to purchase the extended warranty.)
5.2.4
Suppose a random variable, x, arises from a binomial experiment. If n = 6, and p = 0.30, find the following probabilities using technology.
0.302526
0.010206
0.18522
0.92953
0.010935
0.989065
5.2.10
The proportion of brown M&M’s in a milk chocolate packet is approximately 14% (Madison, 2013). Suppose a package of M&M’s typically contains 52 M&M’s.
a.) State the random variable.
X = number of brown M&M's
b.) Argue that this is a binomial experiment
n = 52 and p = 0.14
Find the probability that
c.) Six M&M’s are brown.
0.14874
d.) Twenty-five M&M’s are brown.
0.000001
e.) All of the M&M’s are brown.
0.000001
f.) Would it be unusual for a package to have only brown M&M’s? If this were to happen, what would you think is the reason?
It is very unusual to get a package with only brown M&M’s. The reason for this occurrence could be because of failure to add milk.
(0.0)5.3.4
Approximately 10% of all people are left-handed. Consider a grouping of fifteen people.
a.) State the random variable.
X=left handed people
b.) Write the probability distribution.
X= 1 if left handed, 0 otherwise
c.) Draw a histogram.
d.) Describe the shape of the histogram.
It is skewed to the right
e.) Find the mean.
=0.05326
f.) Find the variance.
=(0.5011^2) / 14
=0.01794
g.) Find the standard deviation.
=sqrt var
=0.1339
(
1.) n = 15 and p = 0.10
a.) Random Variable x = number of people who are left-handed
b.) Probability distribution is found using TI-83/84: binompdf(15,.10,x value) or using Excel: “=BINOM.DIST(15,0.10,x)”
|
x |
p(x) |
|
0 |
0.20589 |
|
1 |
0.34315 |
|
2 |
0.26690 |
|
3 |
0.12851 |
|
4 |
0.04284 |
|
5 |
0.01047 |
|
6 |
0.00194 |
|
7 |
0.00028 |
|
8 |
0.00003 |
|
9 |
0.00000 |
|
10 |
0.00000 |
|
11 |
0.00000 |
|
12 |
0.00000 |
|
13 |
0.00000 |
|
14 |
0.00000 |
|
15 |
0.00000 |
c.) Histogram
d.) This graph is skewed to the right.
e.) Mean =
f.) Variance =
g.) Standard deviation = )
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 6.7000000000000002E-3 1.2200000000000001E-2 0.02 2.6700000000000002E-2 3.3300000000000003E-2 0.04 4.6699999999999998E-2 5.33E-2 0.06 6.6699999999999995E-2 7.3300000000000004E-2 0.08 8.6699999999999999E-2 9.3299999999999994E-2 0.1
P x = 1( )
Px=1
()
P x = 5( )
Px=5
()
P x = 3( )
Px=3
()
P x ≤ 3( )
Px£3
()
P x ≥ 5( )
Px³5
()
P x ≤ 4( )
Px£4
()
10P6
10
P
6