Use the Empirical Rule to solve. The graph illustrates a normaldistribution for the prices paid for a particular model of HDtelevision. The mean price paid is $1200 and the standard deviationis $140.7809201060 1200 1340 1480 1620Distribution of PricesWhat is the approximate percentage of buyers who paid between$780 and $1200?What is the approximate percentage of buyers who paid less than$920?%What is the approximate percentage of buyers who paid between$1200 and $1340?%What is the approximate percentage of buyers who paid between$1060 and $1340?Submit Question1%What is the approximate percentage of buyers who paid between$1200 and $1480?%What is the approximate percentage of buyers who paid less than$780?Question Help: Video 1 Video 2

given data normal distributionμ = 1200σ = 140empirical rule : approximately 68-95-99.7% data fall…

Answered: Use the Empirical Rule to solve. The…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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One year consumers spent an average of $22 on a meal at a resturant. Assume that the amount spent on a resturant meal is normally distributed and that the standard deviation is $3. Complete parts (a) through (c) below. Between what two values will the middle 95% of the amounts of cash spent fall?
Insurance companies make bets. They bet that you’re going to live a long life. An insurance company offers a “death and disability” policy that pays average of $10,000 when you die with a standard deviation of $1,000 or pays average $5000 if you are permanently disabled with standard deviation of $1,000. Assuming the distribution of the policy payout is normal. What percentage of pay will lie between payout of $7,000 and $9,000 when you die? What percentage of the payout will lie below $7,500 if you are permanently disabled? What percentage of the policy will lie above $8,100 when you die?
.0 OIיבכ The graph illustrates a normal distribution for the prices paid for a particular model of HD television. The mean price paid is $1200 and the standard deviation is $100. 900 1000 1100 1200 1300 1400 1500 Distribution of Prices What is the approximate percentage of buyers who paid between $900 and $1200? What is the approximate percentage of buyers who paid less than $900? % What is the approximate percentage of buyers who paid between $1100 and $1300? Type here to search F11
The problem below looks at forecasting methodologies to determine which forecasting model results in the most accurate forecasts. Accuracy is determined by the lowest mean absolute deviation. Emergency calls to the 911 system of York County for the past 24 weeks are shown below. Accurate forecasts are needed to determine the number of operators needed to staff the station. Week # of Calls 1 50 2 35 3 25 4 40 5 45 6 35 7 20 8 30 9 35 10 20 11 15 12 40 13 55 14 35 15 25 16 55 17 55 18 40 19 35 20 60 21 75 22 50 23 40 24 65 SIMPLE LINEAR REGRESSION Use all of the data, weeks 1 - 24, to calculate the regression equation for this data. Use the weeks (1-24) as the independent variable (x) and number of calls as the dependent variable (y). Once you have the equation, forecast weeks 4 through 24 (enter 4, 5, 6, etc. as the x…
(See photo) The data set on the left represents the annual rate of return (in percent) of eight randomly sampled bond mutual funds, and the data set on the right represents the annual rate of return (in percent) of eight randomly sampled stock mutual funds. What proportion of the observations is within one standard deviation of the mean for each data set?
The graph illustrates the distribution of test scores taken by College Algebra students. The maximum possible score on the test was 140, while the mean score was 80 and the standard deviation was 13. + + + 41 54 67 80 93 106 119 Distribution of Test Scores What is the approximate percentage of students who scored between 54 and 106 on the test? What is the approximate percentage students who scored between 67 and 93 on the test? % What is the approximate percentage of students who scored between 80 and 93 on the test? %
fitting a straight line to a set of data yields the following prediction line. Predict the mean value of Y for x=4
The graph shows the distribution of the number of text Which statement describes the distribution? messages young adults send per day. The distribution is approximately Normal, with a Daily Text Messaging mean of 128 messages and a standard deviation of 98 messages. O The distribution is approximately Normal, with a mean of 128 messages and a standard deviation of 30 messages. O The distribution is approximately Normal, with a mean of 30 messages and a standard deviation of 128 messages. O The distribution is uniform, with a mean of 128 messages and a standard deviation of 30 messages. 8. 38 68 98 128 158 188 218 248 Number of Texts
Suppose the value of a stock varies each day from $16 to $25 with a uniform distribution. Find m.

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