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K The distribution of white blood cell count per cubic millimeter of whole blood is approximately Normal with mean 7475 and standard deviation 1750. Use

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K The distribution of white blood cell count per cubic millimeter of whole blood is approximately Normal with mean 7475 and standard deviation 1750. Use a technology or a table to answer parts a through c below. For each include an appropriately labeled and shaded Normal curve. a. What is the probability that a randomly selected person will have a white blood cell count between 6000 and 10,000? Select the correct graph below. O A. O B. 6000 6000 Density Density 10,000 10,000 2225 7475 12725 2225 7475 12725 O C. Q O D. 6000 6000 Density Density 10,000 10,000 2225 7475 12725 2225 7475 12725 The probability that a randomly selected person will have a white blood cell count between 6000 and 10,000 is% (Round to one decimal place as needed.) b. An elevated white blood cell count can be a sign of infection somewhere in the body. A white blood cell count can be considered elevated if it is over 10,500. What percentage of people have white blood cell counts in this elevated range? Select the correct graph below. O A. O B. Q Density Density 10,500 10,500 2225 7475 12725 2225 7475 12725 O C. O D Q Density Density 10,500 10,500 2225 7475 12725 2225 7475 12725 The percentage of people who have white blood cell counts over 10,500 is %. (Round to one decimal place as needed.) c. A white blood cell count below 4500 is considered low. People in this range may be referred for additional medical testing. What is the probability that a randomly selected person has a white blood cell count below 4500? Select the correct graph below. O A. O B. Q Density Density 4500 4500The distribution of white blood cell count per cubic millimeter of whole blood is approximately Normal with mean 7475 and standard deviation 1750. Use a technology or a table to answer parts a through c below. For each include an appropriately labeled and shaded Normal curve. UL. Q UU. 6000 Q 6000 Density Density 10,000 10,000 0 7475 12725 2225 7475 12725 The probability that a randomly selected person will have a white blood cell count between 6000 and 10,000 is% (Round to one decimal place as needed.) b. An elevated white blood cell count can be a sign of infection somewhere in the body. A white blood cell count can be considered elevated if it is over 10,500. What percentage of people have white blood cell counts in this elevated range? Select the correct graph below. O A. Q O B. Q Density Density 10,500 10,500 2225 7475 12725 2225 7475 12725 O C. Q O D. Density Density 10,500 10,500 5 7475 12725 2225 7475 12725 The percentage of people who have white blood cell counts over 10,500 is %. (Round to one decimal place as needed. c. A white blood cell count below 4500 is considered low. People in this range may be referred for additional medical testing. What is the probability that a randomly selected person has a white blood cell count below 4500? Select the correct graph below. O A. Q O B. Density Density 1 500 4500 2225 7475 12725 2225 7475 12725 O c. OD. Density Density 4500 4500 2225 7475 12725 2225 7475 12725 The probability that a randomly selected person has a white blood cell count below 4500 is %. (Round to one decimal place as needed.)According to survey data, the distribution of arm spans for females is approximately Normal with a mean of 65.6 inches and a standard deviation of 3.1 inches. a. What percentage of women have arm spans less than 61 inches? b. A particular female swimmer has an estimated arm span of 73 inches. What percentage of females have an arm span at least as long as this person? a. The percentage of women with arms spans less than 61 inches is %. (Round to one decimal place as needed.) b. The z-score for an arm span of 73 inches is (Round to two decimal places as needed.) The percentage of females who have an arm span at least as long is this person is%. (Round to one decimal place as needed.)The accompanying table shows the 4th-grade reading and math scores for a sample of states from the National Assessment of Educational Progress. The scores represent the percentage of 4th-graders in each state who scored at or above basic level in reading and math. A scatterplot of the data suggests a linear trend. Complete parts (a) through (c) below. Click the icon to view the data for the reading and math scores. a. Find and report the value for the correlation coefficient and the regression equation for predicting the math score from the reading score. Use the words Reading and Math in the regression equation. Then find the predicted math score for a state with a reading score of 71. The correlation coefficient is. (Round to three decimal places as needed.) Find the regression equation. Predicted Math =]+ ()Reading (Round to two decimal places as needed.) Find the predicted math score for a state with a reading score of 71. The predicted math score is. (Round to the nearest whole number as needed.) b. Find and report the value for the correlation coefficient and the regression equation for predicting the reading score from the math score. Then find the predicted reading score for a state with a math score of 71. The correlation coefficient is]. (Round to three decimal places as needed.) Find the regression equation. Predicted Reading = + ( ) Math (Round to two decimal places as needed.) Find the predicted reading score for a state with a math score of 71. The predicted reading score is. (Round to the nearest whole number as needed.) c. Discuss the effect of changing the choice of dependent and independent variable on the value of r and on the regression equation. Choose the correct answer below. A. The correlation coefficient will change, because the formula for the correlation coefficient depends on which variable is the dependent variable. The regression equation will change, because the formulas for the slope and intercept depend on the correlation coefficient. B. The correlation coefficient will not change, because the formula for the correlation coefficient does not depend on which variable is the dependent variable. The regression equation will not change, because the formulas for the slope and intercept do not depend on which variable is the dependent variable. O C. The correlation coefficient will change, because the formula for the correlation coefficient depends on which variable is the dependent variable. The regression equation will not change, because the formulas for the slope and intercept do not depend on which variable is the dependent variable. O D. The correlation coefficient will not change, because the formula for the correlation coefficient does not depend on which variable is the dependent variable. The regression equation will change, because the formulas for the slope and intercept depend on which variable is the dependent variable.The accompanying table shows the 4th-grade reading and math scores for a sample of states from the National Assessment of Educational Progress. The scores represent the percentage of 4th-graders in each state who scored at or above basic level in reading and math. A scatterplot of the data suggests a linear trend. Complete parts (a) through (c) below. Click the icon to view the data for the reading and math scores. a. Find and report the value for the correlation coefficient and the regression equation for predicting the math score from the reading score. Use the words Reading and Math in the regression equation. Then find the predicted math score for a state with a reading score of 71. The correlation coefficient is (Round to three decimal places as needed.) Find the regression equation. Predicted Math =+ (Reading (Round to two decimal places as needed.) Find the predicted math score for a state with a reading score of 71. The predicted math score is. (Round to the nearest whole number as needed.) ession equation for predicting the reading score - X with a math score of 71. Reading and Math Scores TI 4th-Grade 4th-Grade Reading Scores Math Scores 66 76 71 B1 62 79 74 89 75 88 73 81 86 ndent variable on the value of r and on the 79 80 r the correlation coefficient depends on which ll change, because the formulas for the slope la for the correlation coefficient does not 28 8 8 8 8 8289828 ession equation will not change, because the ariable is the dependent variable. or the correlation coefficient depends on which ill not change, because the formulas for the pendent variable. a for the correlation coefficient does not lession equation will change, because the is the dependent variable. Print Done Next

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