In: Statistics and Probability
Problem #5: Nine percent of men and 0.25% of women cannot distinguish between the colors red and green. This is the type of color blindness that causes problems with traffic signals. (a) If 9 men are randomly selected for a study of traffic signal perceptions, find the probability that between 2 and 4 inclusive of them have this type of color blindness. (b) In a group of 180 men, find the mean number that are color blind. (c) In a group of 180 men, find the standard deviation of the number that are color blind. (d) Suppose that a group of 180 men are randomly selected, and 27 of them are color blind. Is this a significantly high number that would perhaps suggest that the given percentage of men that are color blind (i.e., 9%) is not correct?
problem 6 :
The percentage of adults who have at some point in their life
been told that they have hypertension is 23.53%. In a sample of 14
adults, let X be the number who have been told that they
have hypertension. Consider the following probability distribution
for X.
|
(a) | Find the missing entry that is labelled as 'a'. |
(b) |
Suppose that a group of 14 adults are randomly selected, and 6 of them have been told that they have hypertension. Is this a significantly high number that would suggest that the given percentage of adults who have been told that they have hypertension (i.e., 23.53%) is not correct? (A) Yes, because 0.0596 is greater than .05. (B) Yes, because 0.1291 is greater than .05. (C) No, because 6 a not a lot more than expected. (D) Yes, because 6 a lot more than expected. (E) Yes, because 0.0876 is greater than .05. (F) No, because 0.1291 is greater than .05. (G) No, because 0.0876 is greater than .05. (H) No, because 0.0596 is greater than .05. |
5)
n=9
p=0.0025
a)
P ( X = 2) = C (9,2) * 0.09^2 * ( 1 - 0.09)^7=
0.1507
P ( X = 3) = C (9,3) * 0.09^3 * ( 1 - 0.09)^6=
0.0348
P ( X = 4) = C (9,4) * 0.09^4 * ( 1 - 0.09)^5=
0.0052
P(2≤x≤4) = P(X=2) + P(X=3) + P(X=4) =0.1906
b)
Mean = np = 180 *
0.090 =
16.200
c)
Standard deviation = √(np(1-p)) = √
14.7420 =
3.8395
d)
The range rule of thumb suggests that values are unusual if they
lie outside of these limits:
( µ ± 2σ) = ( 16.2 ± 2*
3.8395 ) = ( 8.5209
, 23.88 )
27 lies outside this range
so, answer: Yes, because 27 a lot more than expected.
6)
n=14
p=0.2353
Binomial probability is given by | ||
P(X=x) = C(n,x)*px*(1-p)(n-x) |
X | P(X) |
0 | 0.0234 |
1 | 0.1007 |
2 | 0.2015 |
3 | 0.2480 |
4 | 0.2098 |
5 | 0.1291 |
6 | 0.0596 |
7 | 0.0210 |
8 | 0.0056 |
9 | 0.0012 |
10 | 0.0002 |
11 | 0.0000 |
12 | 0.0000 |
13 | 0.0000 |
14 | 0.0000 |
value of a = 0.1291
b)
Mean = np = 14 *
0.235 =
3.294
Standard deviation = √(np(1-p)) = √
2.5191 =
1.5872
The range rule of thumb suggests that values are unusual if they
lie outside of these limits:
( µ ± 2σ) = ( 3.2942 ± 2*
1.5872 ) = ( 0.1199
, 6.469 )
answer: No, because 6 a not a lot more than expected.