8 Four-week summer rainfall totals, in inches, in a section of the Midwestern United States have approximately a gamma distribution with a = 1.3 and ß = (a) Find the mean, in inches, and variance of the four-week rainfall totals. E(X) = in V(X) = (b) What is the probability that the four-week rainfall total exceeds 4 inches? (Round your answer to four decimal places.)
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- Empirical research on stock market data for two consecutive trading days indicates that 60% of the stocks that went up on the first day also went up on the second day. Yesterday, 600 stocks went up. Answer the following. (If necessary, consult a list of formulas.) (a) Find the mean of p, where p gives the proportion of the 600 stocks that went up yesterday that will go up today. (b) Find the standard deviation of p. (c) Compute an approximation for P(p > 0.56), which is the probability that more than 56% of the stocks that went up yesterday will go up again today. Round your answer to four decimal places.Which of the following statements correctly explains what happens to the variability of a t-distribution as the sample size increases? The variability of the t-distribution decreases as the sample size increases because the sample standard deviation approaches the population A standard deviation. The variability of the t-distribution increases as the sample size increases because the sample standard deviation approaches the population standard deviation. The variability of the t-distribution increases as the sample size increases because the mean of the distribution increases. The variability of the t-distribution decreases as the sample size increases because the mean of the distribution decreases. The variability of the t-distribution remains constant as the sample size increases because the t-statistic is defined by the sample standard E deviation.Empirical research on stock market data for two consecutive trading days indicates that 40% of the stocks that went up on the first day also went up on the second day. Yesterday, 600 stocks went up. Answer the following. (If necessary, consult a list of formulas.) (a) Find the mean of p, where p gives the proportion of the 600 stocks that went up yesterday that will go up today. (b) Find the standard deviation of p. (c) Compute an approximation for P(p<0.36), which is the probability that fewer than 36% of the stocks that went up yesterday will go up again today. Round your answer to four decimal places.
- The systolic blood pressure (given in millimeters) of males has an approximately normal distribution with mean u = 125 and standard deviation o = 12. (a) Calculate the z-scores for the male systolic blood pressures 110 and 140 millimeters. (Round your answers to two decimal places.) 110 mm z = 140 mm z = (b) If a male friend of yours said he thought his systolic blood pressure was 2.5 standard deviations below the mean, but that he believed his blood pressure was between 110 and 140 millimeters, what would you say to him? (Enter your numerical answer to the nearest whole number.) He is ---Select--- because 2.5 standard deviations below the mean would give him a blood pressure reading of millimeters, which is ---Select--- the range of 110 to 140 millimeters.Activì ty Time Name: Grade & Sec: Activity #5: Applications of Normal distribution Solve the following. 1. In a population of high school students' algebra scores, the mean is 64 and the standard deviation is 6. Find the z values that corresponds to a score x = 81. (5points) 2. In a certain university, the students were informed that they need a grade in the top 8% of the engineering students to get a scholarship for the next semester. In the standardization of the test, the mean was 76 and the standard deviation is 14. Assuming that the grade is normally distributed, what must be the minimum grade to obtain the scholarship grant. (5points) 3. The average loan of an employee is Php18,200. If the debt is normally distributed with a standard deviation of Php6,150, find the probabilities; a. that the employee owes more than Php20,000. (5points) b. that the employee owes between Php10,000 and Php25,000. (5points)Tire pressure monitoring systems (TPMS) warn the driver when the tire pressure of the vehicle is 26% below the target pressure. Suppose the target tire pressure of a certain car is 29 psi (pounds per square inch.) (a) At what psi ill the TPMS trigger a warning for this car? (Round your answer to 2 decimal place.) When the tire pressure is (Click to select) v psi. (b) Suppose tire pressure is a normally distributed random variable with a standard deviation equal to 2 psi. If the car's average tire pressure is on target, what is the probability that the TPMS will trigger a warning? (Round your answer to 4 decimal places.) Probability (c) The manufacturer's recommended correct inflation range is 27 psi to 31 psi. Assume the tires' average psi is on target. If a tire on the car is inspected at random, what is the probability that the tire's inflation is within the recommended range? (Round your intermediate calculations and final answer to 4 decimal places.) Probability
- X 1 3. 4 15 9. Ages of Proofreaders At a large publishing company, the mean age of proofreaders is 36.2 years and the standard deviation is 3.7 years. Assume the varlable Is normally distributed. Round intermediate z-value calculations to two decimal places and the final answers to at least four decimal places. Part: 0/2 Part 1 of 2 If a proofreader from the company is randomly selected, find the probability that his or her age will be between 36 and 37.5 years. P (36 < X < 37.5) = Save For Later Submit Assignme Skip Part Check 2021 McGraw-Hill Education. All Rights Reserved. Terms of Use | Privacy | Accessi SAMSUNG 女 2.A population is normally distributed with mean 18.6 and standard deviation 1.4. (a) Find the intervals representing one, two, and three standard deviations of the mean. one standard deviation (smaller value) (larger value) two standard deviations (smaller value) (larger value) three standard deviations (smaller value) (larger value) (b) What percent of the data lies in each of the intervals in part (a)? (Round your answers to two decimal places.) one standard deviation % two standard deviations % three standard deviations %A population is normally distributed with mean 19 and standard deviation 1.1. (a) Find the intervals representing one, two, and three standard deviations of the mean. one standard deviation (smaller value) (larger value) two standard deviations (smaller value) (larger value) three standard deviations (smaller value) (larger value) (b) What percent of the data lies in each of the intervals in part (a)? (Round your answers to two decimal places.) one standard deviation % two standard deviations % three standard deviations % (c) Draw a sketch of the bell curve.
- Tire pressure monitoring systems (TPMS) warn the driver when the tire pressure of the vehicle is 27% below the target pressure. Suppose the target tire pressure of a certain car is 32 psi (pounds per square inch.) (a) At what psi will the TPMS trigger a warning for this car? (Round your answer to 2 decimal place.) When the tire pressure is (Click to select) : psi. (b) Suppose tire pressure is a normally distributed random variable with a standard deviation equal to 3 psi. If the car's average tire pressure is on target, what is the probability that the TPMS will trigger a warning? (Round your answer to 4 decimal places.) Probability (c) The manufacturer's recommended correct inflation range is 30 psi to 34 psi. Assume the tires' average psi is on target. If a tire on the car is inspected at random, what is the probability that the tire's inflation is within the recommended range? (Round your intermediate calculations and final answer to 4 decimal places.) ProbabilityWhat percentage of individuals fall more than 2 SDs above the mean?Empirical research on stock market data for two consecutive trading days indicates that 60% of the stocks that went up on the first day also went up on the second day. Yesterday, 600 stocks went up. Answer the following. (If necessary, consult a list of formulas.) (a) Find the mean of p, where p gives the proportion of the 600 stocks that went up yesterday that will go up today. (b) Find the standard deviation of p. (c) Compute an approximation for P(p <0.58), which is the probability that fewer than 58% of the stocks that went up yesterday will go up again today. Round your answer to four decimal places.