Math 1 EOC Review 7- Problem Attic.pdf

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(1)Math 1 EOC Review #7 - S-ID.1,2,3,5,6a,b,c,7,8,9. 1.. Name:. The salaries of employees for two branches of a company are compared in the table. Newport Branch Mrs. Smith $30,000. 4.. The box-and-whisker plots show the Test Scores of ve schools that have written a common exam. At which school are the median and high scores closest?. Bristol Branch Mr. Fife $20,000. Mr. Cannon $15,000 Mrs. Anderson $20,000 Mr. Elliot $15,000. Mr. Derrick $20,000. Which statement best illustrates the salary comparisons at the two branches? A.. The means show that the salaries are comparable at both branches.. B.. The medians show that the employees at both branches are comparable.. C.. The modes show that the Bristol employees all make more than Newport employees.. A. 5.. D. The medians show that employees at Bristol generally earn more, 2.. On 45, 59, the. Sunrise. B.. Franklin. C.. Clinton. D. Oliver. The frequency distributions of two data sets are shown in the dot plots below. Determine which of the statements is NOT TRUE about the mean, median, and standard deviation values of the statisticis for Data Set 1 and Data Set 2.. the midterm math exam, students had the following scores: 95, 97, 82, 90, 100, 91, 78, 67, 84, 85, 85, 82, 91, 93, 92, 76, 84, 100, 92, 77, 68, and 88. What would happen to the data distribution if absent student scored 37, 65, and 74 on their midterms?. (A) The data distribution would be less peaked and more widely spread. (B) The data distribution would be less peaked and less widely spread.. A. The mean is greater for Data Set 1.. (C) The data distribution would be more peaked and more widely spread.. B. The medians of both data sets are equal. C. The median and mean are both greater for Data Set 2.. (D) The data distribution would be more peaked and less widely spread.. D. The standard deviation is greater for Data Set 1 since there is a larger spread in the data.. (E) The data distribution would remain unchanged. 3.. 6.. Rob and Maria were comparing test scores in their math class. Rob had three tests of 82, 85 and 73. Maria has scores of 75, 79 and 86. How do the student's means compare? A.. The means are equal.. B.. Rob's mean is one point higher than Maria's.. C.. Maria's mean is one point higher than Rob's.. The regression line of best t for a set of data is y = 3:1x 2:4. Find the predicted y-value for x = -3. Use it to nd the residual for the point ( 3; 12:1). Hint: Residual = actual y-value - predicted y-value. A.. 7.. D. Maria's mean is two points higher than Rob's.. –0.4. B.. 0.2. C.. 0.3. D. –0.8. The frequency distribution table represents the annual snowfall in Bismark, North Dakota over a 20-year period. Snowfall in cm Frequency A. 0–3.99. 7. C. 8–11.99. 6. B. 4–7.99. D. 2. 12–15.99. E. 3. 16–19.99. 2. If the snowfall for this year is 7.4, in what row of the table will the frequency increase by 1? A.. page 1. A. B.. B. C.. C. D. E.

(2) 8.. Five companies are rated on their ability to make a part for an aircraft within a certain measurement. The aircraft company decides to hire the company that has the least variation in the measurement for the part. The company and the box-and-whisker plot for the measurement of the part is shown in the table. Company A. B. C. D. E. 11.. Mathematics English 69. Box and Whisker Plot. 7. 9. 11. 14. 10 7. 11. 7. 7. 9. 7. 9. 24. 18. 13. 24. 21. B. B.. C. C.. 86. 75. 91. 96. Use your calculator to determine the equation of the linear regression line for the data.. 12. 12. 90. She then plots the scatter plot of the data using Mathematics as the independent variable.. 24. 11. 73. 100. 24. 13. 10. 71. 71. 12.. 24. A.. y = 0:65x + 30:67. B.. y = 0:97x + 0:21. C.. y = 0:45x + 14:32. D. y = 0:45x + 15:12. The following data were collected by counting the number of cricket chirps per minute at di erent temperatures: chirps. 56 92 110 135. 159 175. 190 200. temp. 55 60. 77. 84. 65. 70. 81. The model for this data is: temp = 0:033 meaning of the slope?. Select the company that should be hired. A.. A teacher is interested in nding the relationship between grades in Mathematics and grades in English. She records the nal grades in percentage for both courses.. D. D. E. 9.. 88. chirps + 45. What is the. A.. the rate at which the chirps increase for each degree increase in temperature. B.. the number of chirps at 0 degrees. C.. the temperature when there are 0 chirps. D. the ratio of chirps to degrees 13. The scatterplot shows the relationship between the hours a person spend watching TV the night before and exam and their score on the exam. Which of the points is an outlier?. I. G. A.. B.. C. C.. D. D. E. D. A basketball player was practicing for a skills competition. She stayed a certain distance away from the basket and shot 12 shots each time. A scatter plot was made using the distance from the basket as the independent variable and the number of baskets made as the dependent variable. One pair of coordinates on the line of best t for this data were (7; 6). Select the statement that is true about the data. (distance, baskets) A.. On average, 6 baskets were made in 7 tries.. B.. She made 50% of her shots.. C.. On average, if she took 12 shots from 7 feet out, she will be successful 6 times.. H. F. E. C B. A. . 10.. A. For the graph of the data points, lay your ruler along the best- t line and draw the line of best t. Which of the following is the best approximation for the y-intercept? A.. 1. B.. 1. C.. 0. D.. 2. D. On average, from 7 ft out, she she makes 6 baskets.. page 2. Math 1 EOC Review #7 - S-ID.1,2,3,5,6a,b,c,7,8,9.

(3) 14.. The table below shows the monthly premium (in dollars) for a term life insurance policy for a female nonsmoker. Find a linear model which best ts the data to predict the premium for a 60 year old nonsmoking female. Age. 25. 30. 35. Premium. $11.57. $11.66. $11.83. A. 15.. $25.24. $26.75. 45. $13.05 $16.18. C.. $32.49. 50. Year. A.. very large. B.. negative. C.. t, the residual value. very small. D. –1. 55. $21.79 $25.18. 19.. D. $33.75. 1960 1970 1980 1990 2000 72.7. 74.8. 77.5. 80.3. For the graph which of the following explains why the line is not the line of best t?. 83. Based on this data, what is predicted life expectancy for a female born in 2020?. I.. A.. III. The line doesn't follow the tendency of the data from the rst to the last point.. 87 years. B.. 88 years. C.. 78 years. D. 90 years. IV. The points at each end are concentrated on one side of the line.. A news company polled 1000 citizens on US presidential approval in February and March. When conducting a sample poll, the standard deviation shows the possible polling error for the entire population.. March poll results: mean approval rating of 39% with standard deviation 3%. 20.. Which statement is True? A.. More than 50% of US citizens showed presidental approval in February.. B.. In March, between 37% and 41% of US citizens approved of the presidential performance.. C.. Presidential approval increased from February to March.. Height (inches). 2. 4. 28 32 35. 9. I only. B.. I and II only. C.. II only. D. V only. Chloe lights a candle and records its height in inches every hour. The results recorded as (time, height) are: (0, 20), (1, 18.3), (2, 16.6), (3, 14.9), (4, 13.2), (5, 11.5), (7, 8.1), (9, 4.7), and (10, 3). Which statement is FALSE for the given data?. B. The negative slope indicates the time decreases by approximately 1.7 hours as the candle burns one inch. C. The initial height of the candle is approximately 20 inches. D. The candle will burn for approximately 11.8 hours before it reaches a height of 0 inches.. The data shown was collected from a group of children attending a day camp. If you used this data to predict the height of 15-year old Samantha who is actually 61 inches tall, how does the prediction compare to her real height? 1. A.. A. The negative slope indicates that the candle height decreases by approximately 1.7 inches each hour it burns.. D. The March ratings showed a larger spread of US citizens who approved of the president.. Age (years). Too many points are above the line.. II. Most of the points at the left are below the line.. February poll results: mean approval rating of 45% with standard deviation 2%. 17.. If a data point lies below the line of best is .. The table below indicates the the life expectancy for females born during selected years from 1960 to 2000. Let x = the number of years since 1960 (1960 would be x = 0) Life Expectancy. 16.. B.. 40. 18.. 21.. Since the 1980s, the obesity rate increased in the United States. During the same time period, computer usage also increased. Are these two trends an example of causation, correlation, or both? A.. 10. causation. B.. correlation. C.. both. D. cannot tell. 42 45. A.. 5 inches too tall (prediction is 66 in.). B.. 8 inches too short (prediction is 53 in.). C.. 8 inches too tall (prediction is 69 in.). D. 5 inches too short (prediction is 56 in.). page 3. Math 1 EOC Review #7 - S-ID.1,2,3,5,6a,b,c,7,8,9.

(4) 22.. The following tables give information about the weekly number of hamburgers sold at two franchises of the Fatzzo Hamburger House. Franchise X. Franchise Y. minimum hamburgers. 468. minimum hamburgers. 591. lower quartile. 495. lower quartile. 644. median. upper quartile. 543. 519. median. upper quartile. 705. 672. maximum hamburgers. 612. maximum hamburgers. 770. Select the 2 statements that are TRUE about the number of hamburgers sold at each franchise. I.. Franchise Y always sells more hamburgers than franchise X.. II. The number of hamburgers sold by franchise X is increasing weekly. III. At least 75% of the time franchise Y sells more hamburgers than franchise X. IV. The range of hamburgers sold at franchise Y is greater than the range of franchise X. A.. 23.. I and II only. B.. Temperature. 18 21. 25 28. Number of visits. 5. 7. 6. I and III only. 30.5 33.5. 10. 11. 11. C.. III and IV only. D. II and IV only. 34.5 13. The emergency room at the general hospital wishes to see whether a relationship exists between the outside temperature and the number of visits to the emergency room. The data is recorded in the table. Which of the following best describes the data? I.. As the temperature increases the number of visits increases.. II. As the temperature decreases the number of visits increases. III. As the temperature increases the number of visits decreases. IV. The temperature may or may not be related to the number of visits to the emergency room. A. 24.. I only. B.. II only. C.. I and II only. D. I, II, III and IV only. An environmentalist is interested in nding the linear relation between the weight of a vehicle and the milage. The following data was been obtained: X: Weight (in pounds) Y: Milage (miles/gal). 2000 2600 3400 42. 34. 24. 3600 4000 20. 18. The correlation coe cient between X and Y is r = 0:99. Which of the following conclusions is correct? A.. The linear relation between X and Y is strong, and Y decreases when X increases.. B.. The linear relation between X and Y is strong, and Y increases when X increases.. C.. The linear relation between X and Y is weak, and Y increases when X increases.. D. The relation between X and Y is not linear.. page 4. Math 1 EOC Review #7 - S-ID.1,2,3,5,6a,b,c,7,8,9.

(5) Problem-Attic format version 4.4.298 c 2011–2017 EducAide Software _ Licensed for use by Susan Robbins Terms of Use at www.problem-attic.com Math 1 EOC Review #7 - S-ID.1,2,3,5,6a,b,c,7,8,9 1. Answer: Objective:. XXXX-XX-XX. D S.ID.02. 15. Answer: Objective:. B S.ID.06A. (A) The data distribution would be less peaked and more widely spread.. 16. Answer: Objective:. D S.ID.03. 3. Answer: Objective:. A S.ID.2. 17. Answer: Objective:. B S.ID.06A. 4. Answer: Objective:. A S.ID.2. 18. Answer: Objective:. B S.ID.06B. C. The median and mean are both greater for Data Set 2.. 19. Answer: Objective:. A S.ID.06B. 2. Answer:. 5. Answer: 6. Answer: Objective:. A S.ID.06B. 7. Answer: Objective:. B S.ID.05. 8. Answer: Objective:. 21. Answer: Objective:. B S.ID.9. B S.ID.2. 9. Answer: Objective:. 22. Answer: Objective:. C S.ID.02. C S.ID.6B. 10. Answer: Objective:. 23. Answer: Objective:. A S.ID.5. C S.ID.06A. 11. Answer: Objective:. 24. Answer: Objective:. A S.ID.8. A S.ID.6A. 12. Answer: Objective:. A S.ID.07. 13. Answer: Objective:. A S.ID.7. 14. Answer: Objective:. A S.ID.06A. 20. Answer:. B. The negative slope indicates the time decreases by approximately 1.7 hours as the candle burns one inch..

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