Downloading “apps” to your cell phone. Refer toExercise 4.173 (p. 282) and the August 2011 survey by thePew Internet & American Life Project. The study foundthat 40% of adult cell phone owners have downloadedan application (“app”) to their cell phone. Assume thispercentage applies to the population of all adult cell phoneowners.

  1. In a random sample of 50 adult cell phone owners, howlikely is it to find that more than 60% have downloadedan “app” to their cell phone?
  2. Refer to part a. Suppose you observe a sample proportionof .62. What inference can you make about the trueproportion of adult cell phone owners who have downloadedan “app”?
  3. Suppose the sample of 50 cell phone owners is obtainedat a convention for the International Association forthe Wireless Telecommunications Industry. How willyour answer to part b change, if at all?

Short Answer

Expert verified
  1. There is 0.2% chance that more than 60% have downloaded the application.
  2. The sample proportion is too small. So, there can assume that either the sample is taken randomly or there is a problem in the population mean proportion.

c. The population mean can’t be rejected and there is no problem with that. So, the sample is taken randomly

Step by step solution

01

Given information

Referring to exercise 4.173 (p. 282), the study discovers that the application was downloaded by 40% of adults on their cell phones. The percentage applied to the population of adult cell phone owners.

So, the probabilityp=0.40

02

Calculate the Probability

a.

Consider the standard error of the 50 random sample,σ

So,

σ=p1-pn=0.40×0.6050=0.692

Now, the probability that more than 60% have downloaded the application is,

PrX>0.60=Prp^-pσ>0.60-0.400.692=Prz>2.89=1-Prz<2.89=1-0.99807=0.0020

Therefore, there is a very low chance of 0.2% that more than 60% have downloaded the application.

03

Determine the inference

b.

Referring to part a., the sample proportion is too small. So, there can assume that either the sample is taken randomly or there is a problem in the population mean proportion.

04

Justify the inference

c.

Hence the sample is from the International Association for the Wireless Telecommunication industry. So, the sample is biased and categorizes the adults from the same industry who are more interested to download the application.

Therefore, the population mean can’t be rejected and there is no problem with that. So, the sample is taken randomly.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with Vaia!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Question:A random sample of 40 observations is to be drawn from a large population of measurements. It is known that 30% of the measurements in the population are 1s, 20% are 2s, 20% are 3s, and 30% are 4s.

a. Give the mean and standard deviation of the (repeated) sampling distribution ofx¯, the sample mean of the 40 observations.

b. Describe the shape of the sampling distribution ofx¯. Does youranswer depend on the sample size?

Question:Who prepares your tax return? As part of a study on income tax compliance (Behavioral Research and Accounting, January 2015), researchers found that 37% of adult workers prepare their own tax return. Assume that this percentage applies to all U.S. adult workers. Now consider a random sample of 270 adult workers.

a. Find the probability that more than 112 of the workers prepare their own tax return.

b. Find the probability that between 100 and 150 of the workers prepare their own tax return

Plastic fill process. University of Louisville operators examined the process of filling plastic pouches of dry blended biscuit mix (Quality Engineering, Vol. 91, 1996). The current fill mean of the process is set at μ= 406 grams, and the process fills standard deviation is σ= 10.1 grams. (According to the operators, “The high level of variation is since the product has poor flow properties and is, therefore, difficult to fill consistently from pouch to pouch.”) Operators monitor the process by randomly sampling 36 pouches each day and measuring the amount of biscuit mix in each. Considerx the mean fill amount of the sample of 36 products. Suppose that on one particular day, the operators observe x= 400.8. One of the operators believes that this indicates that the true process fill mean for that day is less than 406 grams. Another operator argues thatμ = 406, and the small observed value is due to random variation in the fill process. Which operator do you agree with? Why?

Tomato as a taste modifier. Miraculin is a protein naturally produced in a rare tropical fruit that can convert a sour taste into a sweet taste. Refer to the Plant Science (May 2010) investigation of the ability of a hybrid tomato plant to produce miraculin, Exercise 4.99 (p. 263). Recall that the amount x of miraculin produced in the plant had a mean of 105.3 micrograms per gram of fresh weight with a standard deviation of 8.0. Consider a random sample of n=64hybrid tomato plants and letx represent the sample mean amount of miraculin produced. Would you expect to observe a value of X less than 103 micrograms per gram of fresh weight? Explain.

Requests to a Web server. In Exercise 4.175 (p. 282) youlearned that Brighton Webs LTD modeled the arrivaltime of requests to a Web server within each hour, using auniform distribution. Specifically, the number of seconds xfrom the start of the hour that the request is made is uniformly

distributed between 0 and 3,600 seconds. In a randomsample of n= 60 Web server requests, letrepresentthe sample mean number of seconds from the start of thehour that the request is made.

  1. Find Ex¯and interpret its value.
  2. Find Varx¯.
  3. Describe the shape of the sampling distribution of x¯.
  4. Find the probability that x¯is between 1,700 and 1,900seconds.
  5. Find the probability that x¯exceeds 2,000 seconds.
See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.

Sign-up for free