Chapter 7: Problem 28
Explain why the weight of a package of one dozen tomatoes should be approximately normally distributed if the dozen tomatoes represent a random sample.
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Chapter 7: Problem 28
Explain why the weight of a package of one dozen tomatoes should be approximately normally distributed if the dozen tomatoes represent a random sample.
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A population consists of \(N=5\) numbers: \(1,3,5,6,\) and \(7 .\) It can be shown that the mean and standard deviation for this population are \(\mu=4.4\) and \(\sigma=2.15,\) respectively. a. Construct a probability histogram for this population. b. Use the random number table, Table 10 in Appendix I, to select a random sample of size \(n=\) 10 with replacement from the population. Calculate the sample mean, \(\bar{x}\). Repeat this procedure, calculating the sample mean \(\bar{x}\) for your second sample. (HINT: Assign the random digits 0 and 1 to the measurement \(x=1\); assign digits 2 and 3 to the measurement \(x=3,\) and so on. \()\) c. To simulate the sampling distribution of \(\bar{x}\), we have selected 50 more samples of size \(n=10\) with replacement, and have calculated the corresponding sample means. Construct a relative frequency histogram for these 50 values of \(\bar{x}\). What is the shape of this distribution?
The number of wiring packages that can be assembled by a company's employees has a normal distribution, with a mean equal to 16.4 per hour and a standard deviation of 1.3 per hour. a. What are the mean and standard deviation of the number \(x\) of packages produced per worker in an 8-hour day? b. Do you expect the probability distribution for \(x\) to be mound-shaped and approximately normal? Explain. c. What is the probability that a worker will produce at least 135 packages per 8 -hour day?
a. Is the normal approximation to the sampling distribution of \(\hat{p}\) appropriate when \(n=400\) and \(p=.8 ?\) b. Use the results of part a to find the probability that \(\hat{p}\) is greater than \(.83 .\) c. Use the results of part a to find the probability that \(\hat{p}\) lies between .76 and .84
The battle for consumer preference continues between Pepsi and Coke. How can you make your preferences known? There is a web page where you can vote for one of these colas if you click on the link that says PAY CASH for your opinion. Explain why the respondents do not represent a random sample of the opinions of purchasers or drinkers of these drinks. Explain the types of distortions that could creep into an Internet opinion poll.
A small city contains 20,000 voters. Use the random number table to identify the voters to be included in a random sample of \(n=15\)
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