


3. Approximate the probabilties above using the standard deviation rule: 8. A. It was found that...
The fill amount of bottles of soft drink has been found to be normally distributed with a mean of 2.0 liters and a standard deviation of 0.05 liters. If random sample of bottles is selected, what is the probability that the sample mean will be between 1.99 and 2.0 liters:: The fill amount of bottles of soft drink has been found to be normally distributed with a mean of 2.0 liters and a standard deviation of 0.05 liters. If random...
__________I. According to the Empirical rule, 68.26% of the data (within one standard deviation of the mean) would fall between what two values for a population with mean of 816 and standard deviation of 248? 568 and 1,064 B) 320 and 1,312 C) 748 and 884 D) 72 and 1,560 ___________II. The mean age of all students at a university is 24 years. The mean age of a random sample of 100 students selected from this university if 23.6 years....
The body temperatures of a group of healthy adults have a bell-shaped distribution with a mean of 98.31°F and a standard deviation of 0.41°F. Using the empirical rule, find each approximate percentage below. a. What is the approximate percentage of healthy adults with body temperatures within 3 standard deviations of the mean, or between 97.08°F and 99.54°F? b. What is the approximate percentage of healthy adults with body temperatures between 97.49°F and 99.13°F?A.) Approximately __ % of healthy adults in this group...
In a mid-size company, the distribution of the number of phone calls answered each day by each of the 12 receptionists is bell-shaped and has a mean of 47 and a standard deviation of 8. Using the empirical rule (as presented in the book), what is the approximate percentage of daily phone calls numbering between 23 and 71?Please explain the answer broken down in detail
A manufacturer of meter sticks selected at random a certain number of pieces and measured them with a precision ruler. The mean length is found to be 1.045 m, with a standard deviation of 10.5 mm. Assuming the lengths of the parts are normally distributed, what is the 90% confidence for the mean for each of the following sample izes: a. 10 pieces b. 25 pieces c. 100 pieces
The life expectancy in Africa is 74 with a standard deviation of 8 years. A random sample of 49 individuals is selected. 1.What is the probability that the sample mean will be between 73.5 and 76 years? 2.What is the probability that the sample mean will be larger than 77 3.What is the probability that the sample mean will be less than 72.7 years?
8. Assume that SAT scores are normally distributed with mean 1518 and standard deviation 325. ROUND YOUR ANSWERS TO 4 DECIMAL PLACES a. If 100 SAT scores are randomly selected, find the probability that they have a mean less than 1500.___________ b. If 64 SAT scores are randomly selected, find the probability that they have a mean greater than 1600 c. If 25 SAT scores are randomly selected, find the probability that they have a mean between 1550 and 1575...
8. Assume that SAT scores are normally distributed with mean 1518 and standard deviation 325. ROUND YOUR ANSWERS TO 4 DECIMAL PLACES a. If 100 SAT scores are randomly selected, find the probability that they have a mean less than 1500.___________ b. If 64 SAT scores are randomly selected, find the probability that they have a mean greater than 1600 c. If 25 SAT scores are randomly selected, find the probability that they have a mean between 1550 and 1575...
451 In the United States, the mean and standard deviation of adult women's heights are 65 inches (5 feet 5 inches) and 3.5 inches, respectively. Suppose the American adult women's heights have a normal distribution. a. If a woman is selected at random in the United States, find the probability that she is taller than 5 feet 8 inches. b. Find the 72nd percentile of the distribution of heights of American women. c. If 100 women are selected at random...
Shear strength measurements for spot welds have been found to have standard deviation 10 pounds per square inch(psi). (a): If 100 test welds are to be measured, what is the approximate probability that the sample mean will be within 1 psi of the true population mean? (b): If we want the difference between the sample mean to be within 1 psi of the true population mean, with probability of 0.9, how many test welds need to be measured?