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Statistics 1. A random sampling of 500 adults showed that 203 preferred Brand A potato chips more than all other brands of potato chips in the survey. Which interval reflects a 95% likelihood of containing p, the population proportion? A. B. C. D. 2. A university professor and his students did a study to determine the mean length of bass in a lake. Each time a bass was caught, its length was measured in inches, and then it was released. The distribution of the lengths is shown in the graph below. Based on this graph, which measurement represents the best estimate for the mean length of bass in the lake? A. 11 inches B. 17 inches Statistics Page 1/31 C. 18 inches D. 19 inches 3. An electronics company conducted a customer satisfaction survey. The survey results showed, with a 95% confidence level, that 62% to 68% of customers are satisfied with their service. What is the margin of error of this survey? A. 3% B. 6% C. 65% D. 95% 4. A sociologist wants to determine a town’s population percentage willing to make donations this year to help protect the nearby forest. Approximately how many people does he need to survey in order to be 90% confident that the sample percentage is within a 3% margin of error given that 42.5% of the people of the town are willing to donate? A. 735 B. 1,339 C. 2,204 Statistics Page 2/31 D. 4,467 5. A survey of 640 people reports that 458 are willing to contribute to a charity. What is the margin of error for this survey in order to achieve a 95% confidence level in the estimate of the portion of the population willing to contribute to a charity? A. 0.009 B. 0.018 C. 0.035 D. 0.041 6. The results of a survey suggested that 64% of the voters will vote for a particular candidate in an election. The candidate wants to be 95% confident that she will receive the majority of the votes in the election. The results from 100 computer simulations of this situation are shown below. Based on the margin of error and these simulations, what is the range of the percentages of votes this candidate could receive? Statistics Page 3/31 A. 0.43 to 0.63 B. 0.48 to 0.58 C. 0.54 to 0.74 D. 0.59 to 0.69 7. A group of high school students were asked about their favorite sports. The survey indicated that 37% of students, or 407 students, said baseball was their favorite sport. Part A: What was the total number of students surveyed? Part B: What is the margin of error of the survey for only the sample of students who said baseball was their favorite sport? Part C: Write an interval that is likely to contain the exact percentage of all students who would say baseball is their favorite sport. Use words, numbers, and/or pictures to show your work. 8. When 865 voters in a state are randomly selected and surveyed, it is found that 70% of the voters support the current elected official. For a 95% confidence level, the margin of error for the population mean is 3.05%. Which statement explains how this survey could be adjusted so that the population mean can be reported with a 99% confidence level? A. If the margin of error is fixed at 3.05% and the sample size is decreased to 500, the survey could be reported with a 99% confidence level. B. If the margin of error is fixed at 3.05% and the sample size is increased to 1,200, the survey could be reported with a 99% Statistics Page 4/31 confidence level. C. If the sample size remains 865 and the margin of error is adjusted to 4.02%, this would result in a survey that could be reported with a 99% confidence level. D. If the sample size remains 865 and the margin of error is adjusted to 2.08%, this would result in a survey that could be reported with a 99% confidence level. 9. The student government reported that 82% of 12th grade students prefer a white rose for the senior class flower. The poll has a margin of error of ±8%. Estimate the number of seniors who were polled. A. 155 B. 125 C. 82 D. 13 10. In a random survey of 1,000 high school students, 65% said that math is their favorite subject. Based on these survey results, which of these represents a 95% confidence interval for the percentage of all high school students who would choose math as their favorite subject? A. 60% to 70% Statistics Page 5/31 B. 62.04% to 67.96% C. 62.5% to 67.5% D. 63.52% to 66.48% 11. A sample of 250 students were asked for the average amount of money they spend in a day. The data resulted in a mean of $5.50 with a standard deviation of $2.45. If the mean amount of money that all students spend in a day is between $5.10 and $5.90, approximately which confidence level does the range represent? A. 99% B. 93% C. 45% D. 32% Margin of Error 12. Kyle is interested in finding out how many of the 1,143 students at his school are right-handed or left-handed. Part A. Kyle decides to survey a portion of the students at his school to ask whether they are right-handed or left-handed. He carefully selects a sample group, knowing that it should be random so that it is a good representation of the whole school. For example, he would NOT want to single out first basemen on the baseball team because first basemen are more likely than the general population to be left-handed. He conducts the survey on his sample group and compiles the results in Statistics Page 6/31 a table. Finish filling in the table. Part B. How many students did Kyle survey in all? What percentage of the boys in Kyle’s sample are right-handed? What percentage of the girls are right-handed? What percentage of all the students surveyed are right-handed? Total in sample: Percentage of boys who are right-handed: Percentage of girls who are right-handed: Percentage of all students surveyed who are right-handed: Part C. If Kyle’s sample group is representative, about how many students in the whole school would be right-handed? Left-handed? Show your work. Part D. Kyle wants to get an idea of how accurate these results are, so he will calculate the margin of error. He will take the percentage of righthanded students in his survey and determine the range around that percentage in which the true percentage probably lies. He wants to have a confidence level of 95%, which means there is a 95% chance that the true value will be within that range. For the margin of error formula, he will need the value of alpha is equal to 1 minus the confidence level, or which He also needs the z-score corresponding to a confidence level of 95%. A table shows that this z-score, is 1.96. The other piece of information he needs is the sample size, n, which is 226. Substitute these numbers into the formula to find the margin of error, E, Statistics Page 7/31 for Kyle’s sample. Part E. Suppose you wanted to know the percentage of right-handed people in the whole population of the United States. You want to take a survey that will give meaningful results with a small margin of error, but the bigger the sample, the more costly and time-consuming the survey becomes. The graph below shows the margin of error as a function of the sample size, with the sample size n on the x-axis and the margin of error as a percentage on the y-axis. Keeping in mind the fact that it can be expensive and time-consuming to conduct a survey but you still want a small margin of error, what sample size would you recommend? Explain your answer. 13. A survey was conducted where 150 high school students were asked the average amount of time they spent doing household chores in one week. The data collected resulted in a mean time of 180.5 minutes with a standard deviation of 5.5 minutes. Which of these represents a 95% Statistics Page 8/31 confidence interval for the mean weekly hours spent doing household chores of all high school students? A. 171.5–189.5 B. 175–186 C. 178.25–182.75 D. 179.62–181.38 14. A state senator requested a survey of registered voters to determine public opinion of a new law. Of the 940 voters who responded to the survey, 61.7% were in favor of the new law, 35.1% were opposed, and the rest were undecided. What is the margin of error of this survey with a 95% level of confidence? A. B. C. D. 15. Rebecca wants to estimate the average age of a penny that is in circulation. She randomly selects 100 pennies from a jar full of pennies and records their ages in years. The graph below shows the data she collected. Statistics Page 9/31 In order to estimate the average age of a penny in circulation, Rebecca uses an advanced statistical technique to simulate the process of selecting 100 pennies and recording the ages. The graph below shows the result of her simulations. Based on her work, which of the following is the best estimate for the margin of error that Rebecca should use when she comes up with her estimate with 95% confidence for the mean age of a penny in circulation? A. 2 B. 6 C. 12.5 Statistics Page 10/31 D. 14.5 16. A random sample of shoppers chose between two similar products, and 60% chose Brand A. Based on the sample, 20 simulations were conducted, and the mean number of shoppers out of 100 that chose Brand A are shown below. Mean Frequency 55 1 57 1 58 2 59 5 60 4 61 3 62 3 63 1 Based on the simulations, which of the following is the most likely margin of error for the sample? A. B. C. D. 17. Assume that a computer or calculator is used to generate the confidence interval the value of the margin of error E, if A. Statistics where 6.8 Page 11/31 What is sample mean and E= margin of error? B. 10.9 C. 13.6 D. 59.6 18. In a recent survey, 75% of people who were polled said that they prefer Brand A batteries to Brand B batteries. In order to create a 95% confidence interval for the true proportion of people who prefer Brand A batteries, a computer simulation was run 200 times. The results are shown on the graph below. Based on the simulations, which value is the best estimate for the margin of error? A. 0.10 B. 0.25 C. 0.75 D. 0.88 Statistics Page 12/31 19. A sample of 121 high school seniors were surveyed on their level of school spirit on a scale of 0–100. The sample mean of this survey is 86. The known population standard deviation is 14 for all seniors in the class. Which of these is a 95% confidence interval for the population mean? A. B. C. D. 20. Alfredo used a computer to generate the given interval limits where What is the value of if sample mean and E = margin of error? A. 49.6 B. 60.5 C. 62.2 D. 74.8 21. An art student learned how to make a paper frog using a paper folding technique. The student “hopped” the frog 100 times. The distances of the “hops” in centimeters are recorded in the graph below. Statistics Page 13/31 Based on the graph, which value is the best estimate of the mean? A. 2.75 B. 7.25 C. 7.5 D. 7.75 22. A sports-and-exercise shop sampled its customer base one weekend and asked 35 customers their age: 24, 24, 24, 24, 24, 24, 25, 25, 26, 26, 26, 26, 26, 26, 26, 26, 27, 27, 27, 28, 28, 28, 28, 28, 29, 29, 30, 30, 31, Statistics Page 14/31 33, 33, 33, 36, 45, 46 Which interval estimate of the population mean has a margin of error of 1.7 ? A. B. C. D. 23. The life span of a light bulb is the amount of time the bulb will work in a standard appliance before burning out. The life span of a set of 10,000 electric light bulbs is normally distributed. The mean life span is 300 days and the standard deviation is 40 days. The life spans of the light bulbs follow a normal distribution curve like the one shown in the diagram below. Statistics Page 15/31 Which conclusion is correct? A. There are fewer light bulbs with a life span between 420 days and 460 days than in any other interval. B. There are fewer light bulbs with a life span between 180 days and 220 days than in any other interval. C. There are more light bulbs with a life span between 220 days and 300 days than all the other light bulbs combined. D. There are more light bulbs with a life span between 260 days and 380 days than all the other light bulbs combined. 24. In a college math class, 500 students took a final exam. The final exam results showed students had an average score of 65.3% with a standard deviation of 5.2%. The scores on the final exam followed a normal distribution curve with population percentages as shown below. How many students scored above 54.9% but below 70.5%? A. 78 Statistics Page 16/31 B. 82 C. 341 D. 409 25. A general health study survey was conducted using 142 randomly selected students from several middle schools. Each student’s resting pulse rate, recorded in beats per minute, was measured. The frequency table shows the data from this survey are normally distributed. Based on the data in the table, which percentage is the best estimate for the proportion of students that have a resting pulse rate of at least 88 beats per minute? A. 16.2% B. 23.0% C. 37.3% Statistics Page 17/31 D. 53.0% 26. The ages of the employees of a company are normally distributed, with the mean age being 32 years and a standard deviation of 2 years. Which percentage of the employees are likely to be more than 33 years old? A. 15.9% B. 19.1% C. 30.9% D. 69.1% 27. The mean score of the students in Dr. Battle’s math class on the most recent quiz was 78 points with a standard deviation of 6 points. If these scores can be modeled using a normal distribution, which percentage best represents the number of students with quiz scores between 72 and 90 points? Statistics Page 18/31 Approximate Percentages of Data in a Normal Distribution: • 68% of the data lie within 1 standard deviation of the mean. • 95% of the data lie within 2 standard deviations of the mean. • 99.7% of the data lie within 3 standard deviations of the mean. A. 68.0% B. 81.5% C. 95.0% D. 97.5% 28. A large random sample was taken of body temperatures of women at a university. The data from the sample were normally distributed with a mean body temperature of 98.52°F and a standard deviation of 0.727°F. Based on this sample, which percentage is the best estimate of the proportion of all women at this university who have a body temperature more than 2 standard deviations above the mean? A. 0.30% B. 2.28% C. 72.70% D. 97.72% 29. The heights of the students in a class are normally distributed, with a mean height of 62 inches and a standard deviation of 1.2 inches. Which percentage of the students in the class are likely to have a height between 61.4 and 62.6 inches? Statistics Page 19/31 A. 19.10% B. 34.10% C. 38.2% D. 69.10% 30. A book editor was proofreading a draft of a novel. She found that the number of errors on each page of the book was normally distributed, with the mean number of errors on a page as 8 and a standard deviation of 1. If 82 pages had between 7 and 9 errors, what was the approximate total number of pages in the book? Statistics Page 20/31 A. 56 pages B. 68 pages C. 120 pages D. 202 pages 31. Petra measures how long a particular brand of holiday light bulb remains lit continuously before burning out. She samples 250 bulbs, and her data forms a normal distribution, with a mean of 100 hours and a standard deviation of 5 hours. What percent of the bulbs burned out between 105 and 110 hours? A. 5.0 B. 10.3 C. 13.5 Statistics Page 21/31 D. 34.0 32. Jim works in the quality department at a bolt factory. He noted that a particular batch of 120 bolts has a mean length of 20 centimeters (cm) with a standard deviation of 2 cm. The number of bolts at particular lengths fit a normal distribution curve. What is the approximate number of bolts that have lengths that are within one standard deviation of the mean? What is the approximate number of bolts that have lengths that would fall within one and two standard deviations away from the mean? What is the approximate number of bolts that have lengths less than 16 cm? While checking another batch, Jim randomly selected 10 bolts. Their lengths were as follows: 5 cm, 9 cm, 17.5 cm, 18 cm, 18 cm, 18.5 cm, 18.5 cm, 19 cm, 21 cm, and 27 cm. The mean length of these bolts is 17.15 cm, and the standard deviation is 5.78. Would it be appropriate to fit the data set to a normal distribution? Why or why not? Use words, numbers, and/or pictures to show your work. 33. Use the table below to answer the following question. Approximate Percentages of Data in a Normal Distribution: • 68% of the data lie within 1 standard deviation of the mean. • 95% of the data lie within 2 standard deviations of the mean. • 99.7% of the data lie within 3 standard deviations of the mean. The mean of the monthly utility bills in a town is $183.00, with a standard deviation of $17.00. Based on the normal distribution, which value best represents the percentage of utility bills between $166.00 and $217.00? Statistics Page 22/31 A. 47.5% B. 68.0% C. 81.5% D. 95.0% 34. Researchers at a computer company conducted a survey on the number of hours computers are being used in households each day. The data from a random sample of 2,100 homes produced a normal distribution with a mean length of time of 5.3 hours per day with a standard deviation of 0.9 hour. Based on the sample, which percentage best represents the percentage of all households that use a computer less than 5 hours or more than 6 hours per day? A. 21.8% B. 36.9% C. 41.2% D. 58.7% 35. The graph shows a normal distribution with a standard deviation of 10. Which percentage is the best estimate for the shaded area under this normal curve? Statistics Page 23/31 A. 42.0% B. 77.5% C. 79.0% D. 83.5% 36. The distributions below represent the batting averages of the players on two baseball teams, A and B. Which of these is true based on the graph? I. The mean batting average for team A is less than the mean batting average for team B. II. The standard deviation for team A is less than the standard deviation for team B. A. I only B. II only Statistics Page 24/31 C. both I and II D. neither I nor II 37. The cholesterol level for adults of a specific group is normally distributed with a mean of 158.3 and a standard deviation of 6.2. The cholesterol levels follow a normal distribution curve like the one shown in the diagram below. Which percent is closest to the group that has cholesterol below 152.1? A. 13.5% B. 16% C. 81.5% D. 84% 38. A factory manufactures bolts and packs them in boxes, with each box containing 120 bolts. The lengths of the bolts in each box are Statistics Page 25/31 normally distributed, having a mean length of 22 cm and a standard deviation of 1 cm. About how many bolts having a length greater than 23 cm can be found in each box? A. 16 B. 19 C. 34 D. 41 39. A local peach orchard packages 200 peaches per box. The weights of the peaches are normally distributed with a mean of 5.5 ounces and a standard deviation of 0.75 ounce. Approximately how many of the peaches in each box weigh between 4.75 ounces and 6.25 ounces? A. 34 Statistics Page 26/31 B. 68 C. 95 D. 136 40. A factory manufactures light bulbs and then packs them in boxes to be shipped to its customers. Before each shipment, boxes are randomly chosen and the bulbs inside are inspected. The number of bulbs found to be defective in each box can be normally distributed. The mean number of defective bulbs in each box is 12 with a standard deviation of 2. Use the normal curve shown above to answer the questions. Let represent the mean and represent the standard deviation. Part A. If any one box among the sample of inspected boxes chosen has a total of 9 defective bulbs, what percentage of the sample boxes will have more defective bulbs than this box? Explain what this means in terms of the given context. Part B. If there are 60 boxes that contain between 12 and 15 defective bulbs, how many total boxes were inspected? Statistics Page 27/31 Use words, numbers, and/or pictures to show your work. 41. A random sample of 250 AM radio stations was taken. The dot plot displays the data collected. Each dot represents the frequency in kilohertz (kHz) on which each station broadcasts. Which statement best describes why using the mean and the standard deviation from this sample would not be an appropriate way to estimate the proportion of all AM radio stations that broadcast between 800 kilohertz and 1,000 kilohertz? A. The distribution of the sample is not symmetrical. B. The standard deviation of the sample will be larger than the mean. C. A sample size of 250 is not large enough to estimate a population proportion. D. The sample does not include enough radio stations broadcasting between 700 kilohertz and 900 kilohertz. 42. The selling prices of houses in a city during one year were normally distributed with a mean of $259,000 and a standard deviation of $15,000. Which of the following is closest to the percentage of these homes that had a selling price between $244,000 and $289,000? A. 47.7% B. 68.2% C. 81.8% D. 95.4% Statistics Page 28/31 43. A random sample of 108 customers was taken in a shopping mall. The mean number of purchases for this sample of customers was 3.9 with a standard deviation of 1. The median was 4.4, and the mode was 4. A graph shows that the distribution of the data is highly skewed to the left. A store manager wants to calculate the probability that a customer will purchase at least 4 items. Which statement is true? A. The probability can be accurately determined using the mean, standard deviation, and z-score table. B. The probability can be accurately determined using the mode, standard deviation, and z-score table. C. The probability can be accurately determined using the median, standard deviation, and z-score table. D. The probability cannot be accurately determined using the mean, standard deviation, or z-score table. 44. In a normal distribution, 68% of all data points should fall within one standard deviation of the mean. A group of 1,200 students took an aptitude test. Their scores followed a normal distribution. The mean score was 490, and exactly 600 students scored between 424 and 556. Which value could be the standard deviation for the distribution? A. 50 B. 66 C. 90 D. 100 Statistics Page 29/31 45. Which data set is least likely to resemble a normal distribution? A. the heights of all 14-year-old girls who live outside the state of Texas B. the heights of all 14-year-old girls who go to school in the state of Texas C. the heights of all 14-year-old girls who go to school in the city of Houston D. the heights of all 14-year-old girls who live on a given street in the city of Houston Statistics Page 30/31 Statistics Page 31/31