20% of fine dinning restaurants have policies of restricting the use of cell pho
ID: 3381254 • Letter: 2
Question
20% of fine dinning restaurants have policies of restricting the use of cell phones. If you select a random sample of 100 fine dinning restaurants a.) What is the probability that the sample has between 15% and 25% that have established policies restricting cell phone use? b.) The probability is 90% that the sample percentage will be contained within what symmetrical limits of the population percentage? c.) Supposed that a year later, a random sample of 100 restaurants were selected and it was found out that 31% had policies restricting the use of cell phones. Do you think that the population percentage has changed?
Explanation / Answer
Here, the distribution of the proportion is
u = mean = 0.20
standard deviation = sqrt(p(1-p)/n) = sqrt(0.20*(1-0.20)/100) = 0.04
a)
We first get the z score for the two values. As z = (x - u) / s, then as
x1 = lower bound = 0.15
x2 = upper bound = 0.25
u = mean = 0.2
s = standard deviation = 0.04
Thus, the two z scores are
z1 = lower z score = (x1 - u)/s = -1.25
z2 = upper z score = (x2 - u) / s = 1.25
Using table/technology, the left tailed areas between these z scores is
P(z < z1) = 0.105649774
P(z < z2) = 0.894350226
Thus, the area between them, by subtracting these areas, is
P(z1 < z < z2) = 0.788700453 [ANSWER]
*****************
b)
The middle 90% is the interval between the 5th and 95th percentile.
5th percentile:
First, we get the z score from the given left tailed area. As
Left tailed area = 0.05
Then, using table or technology,
z = -1.644853627
As x = u + z * s,
where
u = mean = 0.2
z = the critical z score = -1.644853627
s = standard deviation = 0.04
Then
x = critical value = 0.134205855
95th percentile:
First, we get the z score from the given left tailed area. As
Left tailed area = 0.95
Then, using table or technology,
z = 1.644853627
As x = u + z * s,
where
u = mean = 0.2
z = the critical z score = 1.644853627
s = standard deviation = 0.04
Then
x = critical value = 0.265794145
Thus, the interval is between 0.134205855 and 0.265794145. [ANSWER]
**************************
c)
Yes, because 0.31 is outside the interval in part B.
Related Questions
Navigate
Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.