Certain Type - Probability - Exam, Exams of Probability and Statistics

This is the Exam of Probability which includes Density Function, Probability, Unbiased, Same Dice, Conditioning, Company, Construction Project etc. Key important points are: Certain Type, Particular Secondary School, Distribution, Weights, Normally Distributed, Certain Type, Computer, Legal Quarters, Normally Distributed, Lifetimes of Lightbulbs

Typology: Exams

2012/2013

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Find the mean of the given probability distribution.
1)
A police department reports that the
probabilities that 0, 1, 2, and 3 burglaries will
be reported in a given day are 0.50, 0.40, 0.09,
and 0.01 respectively.
2)
The random variable X is the number of
siblings of a student selected at random from a
particular secondary school. Its probability
distribution is given in the table.
x 0 1 2 3 4 5
P(X = x) 7
24 13
48 3
16 7
48 1
16 1
24
Provide an appropriate response.
3)
Computer chips often contain surface
imperfections. For a certain type of computer
chip, 9% contain no imperfections, 22% contain
1 imperfection, 26% contain 2 imperfections,
20% contain 3 imperfections, 12% contain 4
imperfections, and the remaining 11% contain
5 imperfections. Let X represent the number of
imperfections in a randomly chosen chip.
a. Specify the probability distribution for the
number of imperfections in a randomly chosen
chip.
b. Find the expected number of imperfections
in a randomly chosen chip
Find the indicated probability for the normally distributed
variable.
4)
The lengths of human pregnancies are
normally distributed with a mean of 268 days
and a standard deviation of 15 days. What is
the probability that a pregnancy lasts at least
300 days?
5)
normally distributed with a mean of $490 and
a standard deviation of $45. What is the
probability that a randomly selected teacher
earns more than $525 a week?
6)
A bank's loan officer rates applicants for credit.
The ratings are normally distributed with a
mean of 200 and a standard deviation of 50. If
an applicant is randomly selected, find the
probability of a rating that is between 200 and
275.
7)
A bank's loan officer rates applicants for credit.
The ratings are normally distributed with a
mean of 200 and a standard deviation of 50. If
an applicant is randomly selected, find the
probability of a rating that is between 170 and
220.
8)
The incomes of trainees at a local mill are
normally distributed with a mean of $1,100
and a standard deviation $150. What
percentage of trainees earn less than $900 a
month?
9)
Assume that the weights of quarters are
normally distributed with a mean of 5.67 g and
a standard deviation 0.070 g. A vending
machine will only accept coins weighing
between 5.48 g and 5.82 g. What percentage of
legal quarters will be rejected?
10)
The diameters of bolts produced by a certain
machine are normally distributed with a mean
of 0.30 inches and a standard deviation of 0.01
inches. What percentage of bolts will have a
diameter greater than 0.32 inches?
Use the empirical rule to solve the problem.
11)
The lifetimes of lightbulbs of a particular type
are normally distributed with a mean of 360
hours and a standard deviation of 8 hours.
What percentage of the bulbs have lifetimes
that lie within 2 standard deviations of the
mean?
12)
The systolic blood pressure of 18
-
year
-
old
women is normally distributed with a mean of
120 mmHg and a standard deviation of 12
mmHg. What percentage of 18-year-old
women have a systolic blood pressure that lies
within 3 standard deviations of the mean?
13)
At one college, GPA's are normally distributed
with a mean of 2.6 and a standard deviation of
0.4. What percentage of students at the college
have a GPA between 2.2 and 3?
Use a table of areas for the standard normal curve to find
the required z-score.
14)
Find the z
-
score for which the area under the
standard normal curve to its left is 0.04
1
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Find the mean of the given probability distribution.

  1. A police department reports that the probabilities that 0, 1, 2, and 3 burglaries will be reported in a given day are 0.50, 0.40, 0.09, and 0.01 respectively.

  2. The random variable X is the number of siblings of a student selected at random from a particular secondary school. Its probability distribution is given in the table.

x 0 1 2 3 4 5 P(X (^) = x) 7 24

Provide an appropriate response.

  1. Computer chips often contain surface imperfections. For a certain type of computer chip, 9% contain no imperfections, 22% contain 1 imperfection, 26% contain 2 imperfections, 20% contain 3 imperfections, 12% contain 4 imperfections, and the remaining 11% contain 5 imperfections. Let X represent the number of imperfections in a randomly chosen chip.

a. Specify the probability distribution for the number of imperfections in a randomly chosen chip. b. Find the expected number of imperfections in a randomly chosen chip

Find the indicated probability for the normally distributed variable.

  1. The lengths of human pregnancies are normally distributed with a mean of 268 days and a standard deviation of 15 days. What is the probability that a pregnancy lasts at least 300 days?

  2. The weekly salaries of teachers in one state are normally distributed with a mean of $490 and a standard deviation of $45. What is the probability that a randomly selected teacher earns more than $525 a week?

  3. A bank's loan officer rates applicants for credit. The ratings are normally distributed with a mean of 200 and a standard deviation of 50. If an applicant is randomly selected, find the probability of a rating that is between 200 and

  1. A bank's loan officer rates applicants for credit. The ratings are normally distributed with a mean of 200 and a standard deviation of 50. If an applicant is randomly selected, find the probability of a rating that is between 170 and
  1. The incomes of trainees at a local mill are normally distributed with a mean of $1, and a standard deviation $150. What percentage of trainees earn less than $900 a month?

  2. Assume that the weights of quarters are normally distributed with a mean of 5.67 g and a standard deviation 0.070 g. A vending machine will only accept coins weighing between 5.48 g and 5.82 g. What percentage of legal quarters will be rejected?

  3. The diameters of bolts produced by a certain machine are normally distributed with a mean of 0.30 inches and a standard deviation of 0. inches. What percentage of bolts will have a diameter greater than 0.32 inches?

Use the empirical rule to solve the problem.

  1. The lifetimes of lightbulbs of a particular type are normally distributed with a mean of 360 hours and a standard deviation of 8 hours. What percentage of the bulbs have lifetimes that lie within 2 standard deviations of the mean?

  2. The systolic blood pressure of 18-year-old women is normally distributed with a mean of 120 mmHg and a standard deviation of 12 mmHg. What percentage of 18-year-old women have a systolic blood pressure that lies within 3 standard deviations of the mean?

  3. At one college, GPA's are normally distributed with a mean of 2.6 and a standard deviation of 0.4. What percentage of students at the college have a GPA between 2.2 and 3?

Use a table of areas for the standard normal curve to find the required z-score.

  1. Find the z-score for which the area under the standard normal curve to its left is 0.

Use a table of areas to find the specified area under the standard normal curve.

  1. The area that lies to the left of 1.

  2. The area that lies between 0 and 3.

  3. The area that lies to the right of 0.

Provide an appropriate response.

  1. Suppose that property taxes on homes in Columbus, Ohio, are approximately normal in distribution, with a mean of $3000 and a standard deviation of $1000. The property tax for one particular home is $3500.

a. Find the z-score for that property tax value. b. What proportion of the property taxes exceeds $3500?

Use a table of areas for the standard normal curve to find the required z-score.

  1. Find the z-score for which the area under the standard normal curve to its left is 0.

Determine whether a probability model based on Bernoulli trials can be used to investigate the situation. If not, explain.

  1. We draw a card from a deck 40 times to find the distribution of the suits. After each draw the card is replaced.

Provide an appropriate response.

  1. A college basketball player has probability 0. of making any given shot. Her successive shots are independent. In overtime of an important game, she misses all three shots that she takes. Explain why this does not mean that she "choked," because it could happen by chance with reasonable probability.

Determine whether a probability model based on Bernoulli trials can be used to investigate the situation. If not, explain.

  1. A study found that 56% of people working for large companies are dissatisfied with their job. What is the probability that half of the employees at your company are dissatisfied with their job?

Provide an appropriate response.

  1. When is the binomial distribution approximately normal?

Find the specified probability distribution of the binomial random variable.

  1. In one city, the probability that a person will pass his or her driving test on the first attempt is 0.66. Four people are selected at random from among those taking their driving test for the first time. Determine the probability distribution of X, the number among the four who pass the test.

  2. In one city, 21% of the population is under 25 years of age. Three people are selected at random from the city. Find the probability distribution of X, the number among the three that are under 25 years of age.

Find the indicated probability.

  1. In one city, the probability that a person will pass his or her driving test on the first attempt is 0.68. 11 people are selected at random from among those taking their driving test for the first time. What is the probability that among these 11 people, the number passing the test is between 2 and 4 inclusive?

  2. A basketball player has made 70% of his foul shots during the season. If he shoots 3 foul shots in tonight's game, what is the probability that he makes all of the shots?

  3. A multiple choice test has 10 questions each of which has 4 possible answers, only one of which is correct. If Judy, who forgot to study for the test, guesses on all questions, what is the probability that she will answer exactly 3 questions correctly?

  4. A tennis player makes a successful first serve 59% of the time. If she serves 7 times, what is the probability that she gets exactly3 first serves in? Assume that each serve is independent of the others.

  5. Police estimate that 25% of drivers drive without their seat belts. If they stop 6 drivers at random, find the probability that all of them are wearing their seat belts.

  1. Many people think that a national lobby's successful fight against gun control legislation is reflecting the will of a minority of Americans. A random sample of 4,000 citizens yielded 2290 who are in favor of gun control legislation. Find the point estimate for estimating the proportion of all Americans who are in favor of gun control legislation.

  2. You are planning to use a sample proportion p^ ^ to estimate a population proportion, p. A sample size of 100 and a confidence level of 95% yielded a margin of error of 0.025. Which of the following will result in a larger margin of error? A: Increasing the sample size while keeping the same confidence level B: Decreasing the sample size while keeping the same confidence level C: Increasing the confidence level while keeping the same sample size D: Decreasing the confidence level while keeping the same sample size

  3. A 90% confidence interval for the mean percentage of airline reservations being canceled on the day of the flight is (1.3%, 5.1%). What is the point estimate of the mean percentage of reservations that are canceled on the day of the flight?

  4. A statistician in a mail order house wished to estimate how many mail order parcels prepared last Friday by the wrapping and packaging department were improperly packaged. He took a random sample of 3% of all the parcels prepared that day, had the sample parcels unwrapped and inspected, and found that 48 were improperly packaged. He reported that 1600 mail order parcels were improperly packaged on Friday. The statistician's report utilized

Select the most appropriate answer.

  1. In a survey of 500 residents, 300 were opposed to the use of the photo-cop for issuing traffic tickets. It is found that the point estimate for the mean is 60% with a standard error of 0.022. Construct the 95% confidence interval for the population proportion.

Provide an appropriate response.

  1. A Gallup poll of 1013 people conducted in July 2002 for USA Today and CNN indicated that 41% of Americans said that they could trust most people. Can we conclude that less than half of all Americans feel this way? Explain your reasoning based on a 95% confidence level.

Use the given degree of confidence and sample data to construct a confidence interval for the population proportion.

  1. A survey of 865 voters in one state reveals that 408 favor approval of an issue before the legislature. Construct a 95% confidence interval for the proportion of all voters in the state who favor approval.

Provide an appropriate response.

  1. A city council votes to appropriate funds for a new civic auditorium. The mayor of the city threatens to veto this decision unless it can be shown that a majority of citizens would use it at least twice a year. The council commissions a poll of city residents. For a random sample of 400 residents, 230 say they would use the facility at least twice a year. Find a 95% confidence interval for the proportion of all residents of the town who would say they would use the proposed auditorium at least twice a year. Interpret the interval and advise the mayor.

Use the given degree of confidence and sample data to construct a confidence interval for the population proportion.

  1. Of 346 items tested, 12 are found to be defective. Construct a 98% confidence interval for the proportion of all such items that are defective.

Provide an appropriate response.

  1. You work for a credit card company. You are assigned to estimate the proportion of the accounts in which a customer applied for and received a card but never used it. For a random sample of 20 customers, 3 never used it. Find a 95% confidence interval for the population proportion. Can you conclude that fewer than half the people who received the credit card never used it?

Find the margin of error

  1. A survey found that 89% of a random sample of 1024 American adults approved of cloning endangered animals. Find the margin of error for this survey if we want 90% confidence in our estimate of the percent of American adults who approve of cloning endangered animals.

  2. In a sample of 198 observations, there were 80 positive outcomes. Find the margin of error for the 95% confidence interval used to estimate the population proportion.

Provide an appropriate response.

  1. A newspaper article about bilingualism in Canada states that its estimate for the proportion of all adult Canadians who are bilingual has a margin of error equal to 0.04. How could you explain what this means to someone who has not taken a statistics course?

Find the margin of error

  1. In a survey of 280 adults over 50, 75% said they were taking vitamin supplements. Find the margin of error for this survey if we want a 99% confidence in our estimate of the percent of adults over 50 who take vitamin supplements.

Provide an appropriate response.

  1. For estimating a population proportion,

a. Find the standard error of p

^ for n = 1000 when p^ ^^ = 0.10, 0.30, 0.50, 0.70, 0.90. b. Using these, explain why a confidence interval for a proportion close to 0.50 is wider than one close to 0 or 1 for the same sample size.

Find the standard error

  1. A poll of 163 voters resulted in 110 favorable responses. Find the standard error for the sample proportion.

  2. In a survey of 550 T.V. viewers, 20% said they watch network news programs. Find the standard error for the sample proportion.

Provide an appropriate response.

  1. A survey of shoppers is planned to see what percentage use credit cards. Prior surveys suggest 63% of shoppers use credit cards. How many randomly selected shoppers must we survey in order to estimate the proportion of shoppers who use credit cards to within 4% with 95% confidence?

  2. A study will estimate the proportion of traffic deaths in Australia last year that were alcohol related. Determine the sample size for the estimate to be accurate to within 0.06 with probability 0.99. An earlier study estimated that the proportion was about 0.40.

Determine the null and alternative hypotheses.

  1. The percentage of viewers tuned to FOX News is equal to 85%.

Find the P-value for the indicated hypothesis test.

  1. A nationwide study of American homeowners revealed that 65% have one or more lawn mowers. A lawn equipment manufacturer, located in Charlotte, feels the estimate is too low for households in Charlotte. Find the P-value for a test of the claim that the proportion with lawn mowers in Charlotte is higher than 65%. Among 497 randomly selected homes in Charlotte, 340 had one or more lawn mowers.

  2. In a sample of 88 children selected randomly from one town, it is found that 8 of them suffer from asthma. Find the P-value for a test of the claim that the proportion of all children in the town who suffer from asthma is equal to 11%.

  3. An article in a journal reports that 34% of American fathers take no responsibility for child care. A researcher claims that the figure is higher for fathers in the town of Cheraw. A random sample of 225 fathers from Cheraw, yielded 97 who did not help with child care. Find the P-value for a test of the researcher's claim.

Select the most appropriate answer.

  1. The test statistic for testing H 0 : μ = 100 against Ha: μ ≠ 100 was t = 3.3, with P-value 0.001. Then, A) this must be wrong, because a large t test statistic must have a large P-value. B) there is strong evidence that μ > 100. C) there is not strong evidence that μ < 100. D) there is not strong evidence that μ = 100. E) there is not enough information here to draw a conclusion.

Provide an appropriate response.

  1. A state university wants to increase its retention rate of 4% for graduating students from the previous year. After implementing several new programs during the last two years, the university reevaluated its retention rate. Identify the Type I error in this context.

  2. The U.S. Department of Labor and Statistics released the current unemployment rate of 5.3% for the month in the U.S. and claims the unemployment has not changed in the last two months. However, the state's statistics reveal that there is a reduction in the U.S. unemployment rate. Identify the Type II error in this context.

  3. A weight loss center provided a loss for 72% of its participants. The center's leader decides to test a new weight loss strategy. Identify the Type I error in this context.

Classify the conclusion of the significance test as a Type I error, a Type II error, or No error.

  1. A man is on trial accused of murder in the first degree. The prosecutor presents evidence that he hopes will convince the jury to reject the hypothesis that the man is innocent. This situation can be modeled as a significance test with the following hypotheses: H 0 : The defendant is innocent. H a : The defendant is guilty. Suppose that the null hypothesis is rejected; i.e., the defendant is found guilty. Classify that conclusion as a Type I error, a Type II error, or a correct decision, if in fact the defendant is innocent.

Select the most appropriate answer.

  1. For a given level of significance, increasing the sample size will ____________________ the probability of committing a Type I error. A) not affect B) sometimes decrease C) always increase D) sometimes increase E) always decrease

Provide an appropriate response.

  1. When confidence intervals for p 1 - p 2 do not contain zero, how can we tell which population proportion is predicted to be larger?

Answer Key

Testname: 1342-PROP-PT

  1. a. X 0 1 2 3 4 5 P(x) 0.09 0.22 0.26 0.20 0.12 0.

b. 2.

  1. 9.18%
  2. 1.96%
  3. 2.28%
  4. 95%
  5. 99.7%
  6. 68%
  7. (^) - 1.
  8. a. 0.5; b. 0.
  9. No. More than two outcomes are possible.
  10. The number of made shots, X, is distributed binomial with n (^) = 3 and p (^) = 0.50. P(0) (^) = 0.125, which would not have been especially unlikely if truly p = 0.50.
  11. No. Employees within the same company are not independent of one another.
  12. The binomial distribution is approximately normal when n is large enough so that the expected number of successes, np, and the expected number of failures, n(1 - p), are both at least 15.

x P(X (^) = x) 0 0. 1 0. 2 0. 3 0. 4 0.

x P(X = x) 0 0. 1 0. 2 0. 3 0.

  1. mean = 43%; standard error = 2.9%

  2. mean (^) = 8%; standard error (^) = 1.1%

  3. B

  4. It means that with probability 0.95, the error in using the point estimate to predict the population parameter is no greater than 0.04.

  5. B and C

  6. 3.20%

  7. a point estimate

  8. (0.557, 0.643)

  9. A 95% CI for the true proportion of Americans that feel this way is (0.38, 0.44). None of the numbers in the confidence interval fall at or above 0.50; therefore, one can conclude that fewer than half of all Americans feel this way.

  10. (0.438, 0.505)

  11. The 95% CI for p is (0.527, 0.623). None of the numbers in the confidence interval fall at or below 0.50. So we infer that more than half the population would use the new civic auditorium at least twice a year and advise the mayor not to veto the city council's decision.

  12. (0.012, 0.058)

  13. A 95% CI for p is (-0.01, 0.31) or (0, 0.31). None of the numbers in the confidence interval fall at or above 0.50; therefore, one can conclude that fewer than half the people who received the credit card never used it.

  14. 1.61%

  15. The error in using the estimated proportion to predict the true proportion is very likely to be at most 4%.

  16. 6.66%

  17. a. 0.0095, 0.0145, 0.0158, 0.0145, 0.0095; b. The confidence interval for a proportion near 0.50 is wider than one close to 0 or 1 for the same sample size because the standard error is larger.

  18. 560

  19. 443

  20. H 0 : p = 0. Ha : p ≠ 0.