1-20chapter stats

A sample mean b sampling distribution c probability d

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Unformatted text preview: bservations each is the following: 5, 1, 1, 2, 3, 3, 1, 4, 2, 3. What is the estimate of the population proportion of defectives? A. .25 B. .50 C. .05 D. .42 1-553 Chapter 01 - An Introduction to Business Statistics 78. The number of defectives in the samples of 100 observations each is the following: 1, 2, 1, 0, 2, 3, 1, 4, 2, 1. What is the estimate of the population proportion of defectives? A. .017 B. .17 C. .016 D. .16 79. Suppose that 60 percent of the voters in a particular region support a candidate. Find the probability that a sample of 1,000 voters would yield a sample proportion in favor of the candidate within 4 percentage points of the actual proportion. A. .0155 B. .9952 C. .9484 D. .9902 80. Suppose that 60 percent of the voters in a particular region support a candidate. Find the probability that a sample of 1,000 voters would yield a sample proportion in favor of the candidate within 2 percentage points. A. .9015 B. .8030 C. .0155 D. .7939 81. An unbiased estimate of A. s B. is _____. C. D. σ 1-554 Chapter 01 - An Introduction to Business Statistics 82. A random sample of size 36 is taken from a population with mean 50 and standard deviation 5. The sampling distribution of A. Cannot be determined B. Is skewed to the left C. Normal D. Is skewed to the right ____________________. 83. A random sample of size 36 is taken from a population with mean 50 and standard deviation 5. What is A. 50 B. 5 C. 8.33 D. 0.833 ? 84. A random sample of size 36 is taken from a population with mean 50 and standard deviation 5. What is A. .1389 B. 5 C. 8.33 D. 0.833 ? 85. A random sample of size 36 is taken from a population with mean 50 and standard deviation 5. Find P ( A. .8331 B. .1151 C. .8849 D. .1389 &gt; 49). 1-555 Chapter 01 - An Introduction to Business Statistics 86. A random sample of size 36 is taken from a population with mean 50 and standard deviation 5. Find P ( A. .0082 B. .8330 C. .0999 D. .1389 &lt; 48). 87. A random sample of size 36 is taken from a population with mean 50 and standard deviation 5. Find P ( A. .0002 B. .7257 C. .2743 D. .1389 &gt; 50.5). 88. A random sample of size 36 is taken from a population with mean 50 and standard deviation 5. Find P ( A. .9641 B. .0359 C. .1389 D. .9999 &lt; 51.5). 89. A random sample of size 1,000 is taken from a population where p = .20. Describe the sampling distribution of A. Cannot be determined B. Normal C. Skewed to the left D. Skewed to the right . 1-556 Chapter 01 - An Introduction to Business Statistics 90. A random sample of size 1,000 is taken from a population where p = .20. What is A. .006 B. .20 C. .02 D. .16 91. A random sample of size 1,000 is taken from a population where p = .20. What is ( A. .0051 B. .03162 C. .01414 D. .01265 ? )? 92. A random sample of size 1,000 is taken from a population where p = .20. Find P ( 18). A. .9429 B. .0571 C. .2643 D. .0793 &lt;. 93. A random sample of size 1,000 is taken from a population where p = .20. Find P ( 175). A. .9761 B. .0239 C. .0392 D. .9999 &gt;. 94. A random sample of size 1,000 is taken from a population where p = .20. Find P ( 21). A. .2148 B. .0239 C. .9761 D. .7852 &gt;. 1-557 Chapter 01 - An Introduction to Business Statistics 95. A random sample of size 1,000 is taken from a population where p = .20. Find P ( 22). A. .2643 B. .9429 C. .9207 D. .0571 &lt;. 96. Packages of sugar bags for Sweeter Sugar Inc. have an average weight of 16 ounces and a standard deviation of 0.3 ounces. The weights of the sugar bags are normally distributed. What is the probability that 9 randomly selected packages will have a weight in excess of 16.025 ounces? A. 5987 B. 0062 C. 4013 D. 9938 97. The population of lengths of aluminum-coated steel sheets is normally distributed with a mean of 30.05 inches and a standard deviation of 0.2 inches. What is the probability that randomly selected 4 sheets will have an average length of less than 29.9 inches long? A. 0668 B. 9332 C. 0014 D. 4404 98. The population of lengths of aluminum-coated steel sheets is normally distributed with a mean of 30.05 inches and a standard deviation of 0.2 inches. A sample of four metal sheets is randomly selected from a batch. What is the probability that the average length of a sheet is between 30.25 and 30.35 inches long? A. 9773 B. 0227 C. 0386 D. 0215 1-558 Chapter 01 - An Introduction to Business Statistics 99. The population of lengths of aluminum-coated steel sheets is normally distributed with a mean of 30.05 inches and a standard deviation of 0.3 inches. What is the probability that average length of a steel sheet from a sample of 9 units is more than 29.95 inches long? A. 4602 B. 8413 C. 1587 D. 5397 100. The chief chemist for a major oil/gasoline production company claims that the regular unleaded gasoline produced by the company contains on average 4 ounces of a certain ingredient. The chemist further states that the distribution of this ingredient per gallon of regular unleaded gasoline is normal and has a standard devi...
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