Question

In: Statistics and Probability

Chapter 8 hand-in Homework Pat I A random sample of 15 customers’ waiting time in a...

Chapter 8 hand-in Homework
Pat I
A random sample of 15 customers’ waiting time in a bank was selected, giving the following results in minutes:

0.38
2.34
3.02
3.2
3.54
3.79
4.21
4.5
4.77
5.1
5.13
5.55
6.1
6.19
6.46

1) Based on the sample above, what is the point estimate of the true percentage (same as True Population) of customers’ waiting time in a bank?  
2) To estimate the true percentage of customers’ waiting time in a bank, how large a sample must be taken to insure the estimate is off by no more than + 2% with 99% certainty?  

3) What would happen to the sample size above if the error was increased to 4%?  

4) What would happen to the sample size in question 2 above if the error was decreased to 1%?  
Part II
A bottle of water distributor wants to estimate the amount of water contained in 1-gallon bottles purchased from a nationally known water bottling company. The water bottling company’s specifications state that the standard deviation of the amount of water is equal to 0.02 gallon. A random sample of 50 bottle is selected, and the sample mean amount of water per 1-gallon bottle is 0.995 gallon.

Construct a 99% confidence interval estimate for the population mean amount of water included in a 1-gallon bottle.

b) On the basis of these results, do you think that the distributor has a right to complaint to the water bottling company? Why?

c) Must you assume that the population amount of water per bottle is normally distributed? Explain.



Part III
In a survey of 529 travelers, 386 said that location was very important and 323 said that room quality was very important in choosing a hotel.
a) Construct a 95% confidence interval estimate for the population proportion of travelers who said that location was very important for choosing a hotel.
b) The percentage of travelers that said that location was very important for choosing a hotel is a statistic or a parameter? Explain
c) If we need to conduct a follow up study, what sample size is need to estimate the population proportion of travelers who said that location was very important for choosing a hotel with 95% confidence within ± 5%?

 

Solutions

Expert Solution

From the given data: n = 529

number of travelers who said location is more important = x = 386

proportion of travelers who said location is more important:

Confidence level = 95%

a) 95% confidence interval formula for population proportion:

Plugging in values we get,

Hence 95% confidence interval for the population proportion of travelers who said that location was very important for choosing a hotel is (0.6919, 0.7675)

b) Percentage of travelers who said location was very important is 72.97%. It is a statistic.

Because this value is obtained from a sample of size 529 travelers. Thus this value describes sample. On other hand parameter describes whole population. Here no true population proportion is known. Therefore percentage of travelers saying location was very important is a statistic.

c) We have margin of error of 5%

i.e. ME = 0.05

Sample size formula:

Plug in values:

Hence revised sample size would be 304 in order to get 5% error for 95% confidence interval.


Related Solutions

A random sample of 16 pharmacy customers showed the waiting times below (in minutes). Also, the...
A random sample of 16 pharmacy customers showed the waiting times below (in minutes). Also, the sample is from a normal population. Note that σ is unknown. 21 22 22 17 21 17 23 20 20 24 9 22 16 21 22 21 The sample mean is 19.875 and the sample standard deviation is 3.65. Which of the following represents the 80 percent confidence interval for µ? Select one: a. [13.75, 25.25] b. [18.65, 21.10] c. [19.55, 20.425] d. [18.8,...
A random sample of 16 pharmacy customers showed the waiting times below (in minutes). 26 16...
A random sample of 16 pharmacy customers showed the waiting times below (in minutes). 26 16 25 18 17 24 18 23 14 20 10 18 19 13 17 16 Click here for the Excel Data File Find a 90 percent confidence interval for μ, assuming that the sample is from a normal population. (Round your standard deviation answer to 4 decimal places and t-value to 3 decimal places. Round your answers to 3 decimal places.)    The 90% confidence...
A local retailer claims that the mean waiting time is less than 8 minutes. A random...
A local retailer claims that the mean waiting time is less than 8 minutes. A random sample of 20 waiting times has a mean of 6.8 minutes with a standard deviation of 2.1 minutes. At a = 0.01, test the retailer's claim. Assume the distribution is normally distributed. Round the test statistic to the nearest thousandth.
A local retailer claims that the mean waiting time is less than 8 minutes. A random...
A local retailer claims that the mean waiting time is less than 8 minutes. A random sample of 20 waiting times has a mean of 6.3 minutes with a standard deviation of 2.1 minutes. At α = 0.01, test the retailerʹs claim. Assume the distribution is normally distributed. Use any method, however, follow the PHANTOMS acronym. P - Parameter Statement H - Hypotheses A - Assumptions & Conditions N - Name the Test and state the curve you're using T...
A local bank claims that the waiting time for its customers to be served is the...
A local bank claims that the waiting time for its customers to be served is the lowest in the area. A competitor bank checks the waiting times at both banks. The sample statistics are listed below. Test the local bank's claim. Use the information given below. Use the significant level of .05 and assume the variances are equal. sample size Local Bank n1 = 46 Competitor Bank n2 = 50 Average waiting time in minutes for each sample Xbar1 =...
The random variable X milliseconds is the total access time (waiting time + reading time) to...
The random variable X milliseconds is the total access time (waiting time + reading time) to obtain a block of information from a computer disk. X is evenly distributed between 0 and 12 milliseconds. Before making a determined task, the computer must access 12 different information blocks from the disk. (The access times for different blocks are independent one of the other.) The total access time for all information is a random variable A milliseconds. (1) What is the E...
1)A local supermarket claims that the waiting time for its customers to be served is the...
1)A local supermarket claims that the waiting time for its customers to be served is the lowest in the area. A competitor's supermarket checks the waiting times at both supermarkets. The sample statistics are listed below. Test the local supermarket's hypothesis. Use a= 0.05. Local Supermarket Competitor Supermarket n1= 15 n2= 16 xbar 1= 5.3 minutes xbar 2= 5.6 minutes s1= 1.1 minutes s2= 1.0 minutes A) Hypothises: B) Critical Values t-critical C) Test statistic t-stat and the decision to...
) A major airline is concerned that the waiting time for customers at its ticket counter...
) A major airline is concerned that the waiting time for customers at its ticket counter may be exceeding its target average of 190 seconds. To test this, the company has selected a random sample of 100 customers and times them from when the customer first arrives at the checkout line until he or she is at the counter being served by the ticket agent. The mean time for this sample was 202 seconds with a standard deviation of 28...
The table below shows the time in minutes that customers    spent waiting in a bank....
The table below shows the time in minutes that customers    spent waiting in a bank. Time (min.) Frequency 5 7     6-10 8    11-15 9    16-20 4    21-25 6 Calculate the mean, mode and median       [4+4 + 4] (b) Calculate the variance.                                    [5] (c) Calculate the standard deviation.                  [2] (d) Calculate the coefficient of skewness           [3] (e) Calculate the coefficient of variation.
A.) The amount of time customers spend waiting in line at a bank is normally distributed,...
A.) The amount of time customers spend waiting in line at a bank is normally distributed, with a mean of 3.5 minutes and a standard deviation of 0.75 minute. Find the probability that the time a customer spends waiting is as follows. (Round your answers to three decimal places.) less than 4 minutes less than 2 minutes B.) The breaking point of a particular type of rope is normally distributed, with a mean of 310 pounds and a standard deviation...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT