Suppose a normally distributed set of data has a mean of163 and a standard deviation of 17. Use the 68-95-99.7 rule(sometimes called the Empirical rule or the StandardDeviation rule) to determine the percentage of scores in thedata set expected to be between the scores 146 and 214.Answer =(Write your%3Danswer in decimal form, not percentage form. Forexample, if your percentage is 99%, enter 0.99, not 99.Keep all decimal places.)Caution: Using tables or Excel for this may produce awrong answer. Use the 68-95-99.7 rule.Check Answer

Answered: Suppose a normally distributed set of…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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In a recent study, the serum cholesterol levels in men were found to be normally distributed with a mean of 196.7 and a standard deviation of 39.1. Units are in mg/dL. What percentage of men have a cholesterol level that is greater than 240, a value considered to be high? Round your percentage 1 decimal place. (Take your StatCrunch answer and convert to a percentage. For example, 0.8765 → 87.7.)
The amount of caffeine in a sample of five-ounce servings of brewed coffee is shown in the histogram. Make a frequency distribution for the data. Then use the table to estimate the sample mean and the sample standard deviation of the data set. Click the icon to view the histogram. Graph/chart Midpoint x xt Ay 30+ 2 70.5 141 24 14 92.5 1295 25- 24 114.5 2748 20- 7 136.5 955.5 14 15- 3 158.5 475.5 10- 7 ΣΤ- 50 Exf = 5615 5- Find the mean of the data set. 48.5 70.5 92.5 114.5 136.5 158.5 x = 112.3 (Round to the nearest tenth as needed.) Complete the table. Round values to the nearest tenth as needed. Midpoint x (x-x)? (x-x)?f Print Done X-X 70.5 - 41.8 1747.2 3494.5 92.5 1295 85556.3 119787.5
Mario's weekly poker winnings have a mean of $353 and a standard deviation of $67. Last week he won $185. How many standard deviations from the mean is that?
Compare the standard deviation of a data set when removing an outlier. An outlier is an extreme value that is significantly less or more than the rest of the data. During his 20 season NHL career, Wayne Gretzky scored more points than anyone who played professional hockey. He accomplished this feat while playing fewer games than the previous record holder. Here are the number of games Gretzky played during each season: 79, 80, 80, 80, 74, 80, 80, 79, 64, 78, 73, 78, 74, 45, 81, 48, 80, 82, 82, 70 Calculate the standard deviation with all his games and without his two lowest seasons. Compare the data. Rounding to the nearest hundredth, the difference between the standard deviation with and with out the outliers is
We have provided simple data sets for you to practice the basics of finding measures of variation. For each data set, determine the a. range. b. sample standard deviation. 2, 5, 0, −1
Similarly to #2, we want to look at home many college stadiums were built in the past 20 years. We know that 15% of stadiums have just been built in the past 20 years (all the rest are older). Assume we take a sample of 20 stadiums. How many stadiums out of the sample of 20 would you expect to be built in the past 20 years? а. b. What is the standard deviation? What is the probability that exactly 2 stadiums were built in the past 20 years? d. What is the probability that more than 2 stadiums were built in the past 20 years? с.
11) A national health survey weighed a sample of 531 boys aged 6-11 and found that 86 of them were overweight. They weighed a sample of 544 girls aged 6-11and found that 65 of them were overweight. Can you conclude that the proportion of boys who are overweight differs from the proportion of girls who are overweight? Use the 0.05 level of significance and the P-value method. (a) State the appropriate null and alternate hypotheses. (b) Compute the P-value. Dr he (c) Determine whether to reject Null Hypothesis. ypeti d) State a conclusion.
You want to know the percentage of utility companies that earned revenue less than 67 million dollars. If the mean revenue was 50 million dollars and the data has a standard deviation of 7 million, find the percentage. Assume that the distribution is normal. Round your answer to the nearest hundredth.
Assume that the readings on the thermometers are normally distributed with a mean of 0° and standard deviation of 1.00°C. A thermometer is randomly selected and tested. Draw a sketch and find the temperature reading corresponding to P34, the 84th percentile. This is the temperature reading separating the bottom 84% from the top 16%. Click to view page 1 of the table. Click to view page 2 of the table. Which graph represents P ? Choose the correct graph below. 84 A. В. OC. D. Ay X The temperature for P84 is approximately (Round to two decimal places as needed.)
Ocho
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