Regular gasoline averaged $2.26 per gallon in September 2018. Assume the standard deviation for gasoline prices is $0.14 per gallon. A random sample of 30 service stations was selected. Complete parts a through d. a. What is the probability that the sample mean will be less than $2.23? The probability that the sample mean will be less than $2.23 is (Type an integer or decimal rounded to four decimal places as needed.) b. What is the probability that the sample mean will be more than $2.33? The probability that the sample mean will be more than $2.33 is (Type an integer or decimal rounded to four decimal places as needed.) c. What is the probability that the sample mean will be between $2.22 and $2.387 The probability that the sample mean will be between $2.22 and $2.38 is. (Type an integer or decimal rounded to four decimal places as needed.) d. Suppose the sample mean is $2.32. Does this result support the average gasoline price findings? Explain your answer. The probability that the average price per gallon is more than $2.32 is (Type an integer or decimal rounded to four decimal places as needed.) Does this result support the average gasoline price findings? Explain your answer. Consider a probability of less than 0.05 to be small. O A. The probability supports the finding that the average price per gallon for gas in the population is $2.26, because this probability is large. B. The probability supports the finding that the average price per gallon for gas in the population is $2.26, because this probability is small. O C. The probability does not support the finding that the average price per gallon for gas in the population is $2.26, because this probability is large. O D. The probability does not support the finding that the average price per gallon for gas in the population is $2.26, because this probability is small. Next

Type the correct answer in each box. Use numerals instead of words. The weights of 1,000 men in a certain town follow a normal distribution with a mean of 150 pounds and a standard deviation of 15 pounds. From the data, we can conclude that about [?] men weigh more than 165 pounds and about [?] men weigh less than 135 pounds.

Find the mean and stand deviation for each sample. sample A 5,11,17 sample B 77,82,88 sample C 1,075,1,081,1,087

The ages (in years) of a random sample of shoppers at a gaming store are shown. Determine the range, mean, variance, and standard deviation of the sample data set. 12, 17, 23, 15, 21, 16, 20, 17, 14, 19 …… The range is (Simplify your answer.)

Assume the selling prices of homes in a particular community follow a normal distribution with a mean of $263,100 and a standard deviation of $43,200. Complete parts a through c. a. Determine the range of selling prices in this community that includes one standard deviation around the mean. The range is from $ to $ (Type integers or decimals. Use ascending order.) b. Determine the range of selling prices in this community that includes two standard deviations around the mean. The range is from $ to $ (Type integers or decimals. Use ascending order.) c. Determine the range of selling prices in this community that includes three standard deviations around the mean. The range is from $ to $1. (Type integers or decimals. Use ascending order.)

with solution please

Use the magnitudes (Richter scale) of the 120 earthquakes listed in the accompanying data table. Use technology to find the range, variance, and standard deviation. If another value, 8.00, is added to those listed in the data set, do the measures of variation change much? Click the icon to view the table of magnitudes. Magnitudes Without the extra data value, the range is (Type an integer or decimal rounded to three decimal places as needed.) 3.28 2.82 2.83 1.96 1.70 2.55 O 2.45 3.40 3.95 1.59 2.91 1.63 2.53 2.42 2.97 2.93 3.99 2.54 2.43 1.83 2.17 2.35 2.00 3.01 2.80 3.86 2.93 2.08 1.86 2.35 2.38 3.45 3.43 1.55 2.54 1.49 2.19 3.09 2.28 3.25 1.98 1.91 2.42 2.95 2.14 2.33 2.56 2.89 1.48 1.91 2.68 1.81 3.65 2.70 1.45 3.61 3.14 2.57 1.51 1.41 2.83 2.87 2.18 1.67 3.21 1.39 1.75 2.35 1.14 2.36 2.48 1.79 2.00 3.03 1.94 2.42 1.86 2.25 2.33 3.17 4.01 2.08 1.49 2.31 2.33 2.56 2.59 2.21 2.75 2.45 2.73 3.58 2.81 2.80 3.25 1.76 4.68 3.23 2.38 2.00 3.83 2.39 2.85 3.38 2.69 2.31 2.83 2.78 2.43 2.34…

The mean and median of a frequency distribution is 15 and 20 respectively. Then the mode of the distribution is O a. 17.5 O b. 16 O c. 20 O d. 30

The accompanying frequency distribution represents the square footage of a random sample of 500 houses that are owner occupied year round. Approximate the mean and standard deviation square footage. Click the icon to view the data table. The mean square footage is x=. (Round to the nearest integer as needed.)

It has been reported that 84% of federal government employees use e- mail. If a sample of 235 federal government employees is selected, find the mean, variance, and standard deviation of the number who use e-mail. Round your answers to three decimal places. a. Find mean