conforms to Benfords law with the given problems
Q: 4. For a population with u = 60 and o = 12, a. Find the z-score for each of the following X values.…
A: According to the provided information, μ=60σ=12 The formula for z-score is…
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A: Given: i=0.05 a¨x:10¯|=7.6491 ax+1:9¯|=6.59609 ax+2:8¯|=6.00768
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Q: 4. For a population with u= 100 and o = 20, what is the X value corresponding to z=- 0.75?
A: GivenMean(μ)=100standard deviation(σ)=20z=-0.75
Q: For a population with u =40 and o = 8: a. Find the z-score for each of the following X values.…
A: Given: mu = 40 and sigma = 8 z = (x-mu)/sigma x=mu+(z*sigma)
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Q: 5. For a population with u = 80 and o= 10, what is the X value corresponding to z=- 2.00? %3D %3D
A: Givenμ=80,σ=10, Z=-2Z score=X-μσ X=?
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h0:the digits are from a population that conforms to Benfords law with the given problems
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- Please help me answer this one with written solutions. Thanks a lot.3. For a population with H = 60 and 0 = 12, find the z-score corresponding the following X values: X = 66In a population of N = 10 scores, the smallest score is X= 8 and the largest score is X = 20. The range for the population is Selected Answer: a.12 Answers: a.12 b.cannot be determined without more information c.13 d.11
- 1. In an Economics textbook, the following information is given: TSS=437 and RSS-291. As a student of Econometrics, calculate the ESS and the R-squared. A. ESS-437 and R-squared=0.789 B. ESS=146 and R-squared=0.334 C. ESS=250 and R-squared=0.28 TSS D. ESS=291 and R-squared=8.334 2. What can you say about the above R-squared figure in question one? A. The TSS means that 437 variations in the dependent variables are explained by regressors B. 40% of the regression power is explained by the error term. C. 33.4% variations in the dependent variable are explained by the independent variable(s) D. The independent variables in the model are significant. 146 3. The regression model includes a random error or disturbance term for a variety of reasons. Which of the following is not one of them? A. Measurement errors in the observed variables. B. To capture unobserved omitted relevant influences on y. VSS=RSt° C. A linear functional form may only be an approximation. D. To capture unobserved…A certain brand of jelly beans are made so that each package contains about the same number of beans. The filling procedure is not perfect, however. The packages are filled with an average of 375 Jelly beans, but the number going into each bag is normally distributed with a standard deviation of 8. Yesterday, Jane went to the store and purchased four of these packages in preparation for a Spring party. Jane was curious, and she counted the number of jelly beans in these packages - her four bags contained an average of 382 jelly beans.Questions 2 and 3 are individual parts. That is, each group member is to answer the questions for a different day, according to the following list: Member 1: Day 4 Member 2: Day 6 Member 3: Day 8 Member 4: Day 10 2. Estimate the average rate of flow from three days before your day until your day; from two days before your day until your day; from one day before your day until your day. Also estimate the average rate of flow from your day until three days after your day; from your day until two days after your day; from your day until one day after your day. Copyright 1994 John Wiley & Sons, Inc. 224 3. Estimate the instantaneous rate of flow on your day.
- The Carbondale Hospital is considering the purchase of a new ambulance. The decision will rest partly on the anticipated mileage to be driven next year. The miles driven during the past 5 years are as follows: Year Mileage 1 3,000 2 4,000 3 3,400 4 3,800 5 3,750 a) Using a 2-year moving average, the forecast for year 6 = 3775 miles (round your response to the nearest whole number). b) If a 2-year moving average is used to make the forecast, the MAD based on this = 116.67 miles (round your response to one decimal place). (Hint: You will have only 3 years of matched data.) c) The forecast for year 6 using a weighted 2-year moving average with weights of 0.40 and 0.60 (the weight of 0.60 is for the most recent period) = 3770 miles (round your response to the nearest whole number). The MAD for the forecast developed using a weighted 2-year moving average with weights of 0.40 and 0.60= miles (round your response to one decimal place). (Hint: You will have only 3 years of matched data.)For a population with m = 40 and s = 8: a. Find the z-score for each of the following X values. (Note: You should be able to find these values using the definition of a z-score. You should not need to use a formula or do any serious calculations.) X=44 X=48 X=56 X=38 X=34 X=323.3 4.manufactures 37-in. high def LCD tvs in 2 separate locations, Locations I and II. The output at Location I is at most 6000 televisions/month, whereas the output at Location II is at most 5000 televisions/month. TMA is the main supplier of tvs to the Pulsar Corporation, its holding company, which has priority in having all its requirements met. In a certain month, Pulsar placed orders for 3000 and 4000 televisions to be shipped to two of its factories located in City A and City B, respectively. The shipping costs (in dollars) per television from the 2 TMA plants to the 2 Pulsar factories are as follows. To Pulsar Factories From TMA City A City B Location I $7 $3 Location II $8 $9 TMA will ship x televisions from Location I to city A and y televisions from Location I to city B. Find a shipping schedule that meets the requirements of both companies while keeping costs to a minimum. (x,y)= What is the minimum cost? 6.Solve the linear programming problem by…
- Solve these 3 questions please using the data table belowBy how many times does the sample size have to be increased to decrease the margin of error by a factor of 1 to decrease the margin of error by a factor of 51 The sample size must be increased by a factor of (Type a whole number.) What is the general relationship, if any, between the sample size and the margin of error? OA. Increasing the sample size by a factor M results in the margin of error decreasing by a factor of M2 O B. Increasing the sample size by a factor M results in the margin of error decreasing by a factor of 1 M 1 OC. Increasing the sample size by a factor M results in the margin of error decreasing by a factor of VM O D. There is no relationship between the sample size and the margin of error.