If you choose 40 random employees from the corporation, the standard error would equal 6/Square root of 40 = .95 days. The 12 days in this department corresponds to (12-8.2)/.95 = 4 standard errors above the corporation average of 8.2. This is much higher than two or three standard errors, and it appears to be beyond chance variation. Chapter 9 Exercise 3 The p- value tells you how likely it would be to get results at least as extreme as this if there was no difference in the taste and only chance variation was operating. In this problem, p-value of 0.02 means that, if there is no difference in taste, then there is only 2% chance that 70% or more people would declare one drink better than the
The smallest relative difference that is not statistically significant is stress management at -0.63. The reason that this ratio is not statistically significant is because the value used to determine significance was lower than 0.05. The smaller t ratio has an increased p value and the odds of being able to reject the null hypothesis are diminished. This result means
Monopoly output: MR=400-4q MC=40 MR=MC 400 – 4q = 40 then q=90 unit The reason that producing on half the monopoly output (90*1.5 = 135) a Nash equilibrium outcome is that it will exceed the market demand of Nash equilibrium ($160). 4. Problem #8, p. 221-222 in text. (HINT: First calculate the profits of a market with two firms, and then continue this process for 3, 4, and 5 firms.) a.
There is only a 1.28% chance that b = 0, which is better than the 10 percent level required by the marketing director. d. The exact level of significance of is 0.0927. There is a 9.27% chance that rivals’ spending on advertising does not affect Vanguard’s sales (i.e., b = 0), which is just barely better than the 10 percent level required by the marketing director. e. About 78 percent of the variation in sales remains unexplained. Find additional explanatory variables that have a significant affect on S. The manager might try adding the price of its detergent and the
Practice Test 4 –Bus 2023 Directions: For each question find the answer that is the best solution provided. There is only one correct answer. 1. For a sample size of 30, changing from using the standard normal distribution to using the t distribution in a hypothesis test, a. will result in the rejection region being smaller b. will result in the rejection region being larger c. would have no effect on the rejection region d. Not enough information is given to answer this question. ANSWER: a -recall that all the t-values are larger than the z-values so it makes it more difficult to reject the null.
a) How many independent network servers would be needed if each has 99 percent reliability? independent failure rate = 0.01 combined failure rate = 0.00001 0.01^n = 0.00001 10^(-2n) = 10^-5 -2n = -5 n = 2.5 servers needed = 3 b) If each has 90 percent reliability? independent failure rate = 0.1 combined failure rate = 0.00001 0.1^n = 0.00001 10^(-n) = 10^-5 -n = -5 n = 5 servers needed = 5 5.74 Refer to the contingency table shown below. (a) Calculate each probability (i–vi) and explain in words what it means. (b) Do you see evidence that smoking and race are not independent?
| | | D.there is no role for the government. | | Answer Key: A | | | Question 5 of 10 | 10.0 Points | The branch of economics that examines the choices of consumers and firms is: | | A.positive economics. | | | B.normative economics. | | | C.macroeconomics. | | | D.microeconomics.
Question 2.5 out of 2.5 points 8 Why are effect sizes rather than test statistics used when comparing study results? Question 9 What falls within the 95% confidence interval? Question 2.5 out of 2.5
The value of the estimates for “Assaults” for the age groups 0-4, 5-9,10-14, 45-54, 55-64, 65-74, and 75 and above were reported but are not considered stable because the sample size is less than 30. The value of the estimates for “Struck By or Struck Against” for the age groups 5-9, 25-34, and 35-44 were reported but may not be stable because the sample size ranged between 30-59. The value of the estimates for “Struck By or Struck Against” for the age groups 20-24, 45-54, 55-64, 65-74, and 75 and above were reported but are not considered stable because the sample size is less than 30. The value of the estimates for “Other or Unknown” for the age groups 0-4, 5-9, 10-14, 15-19, 25-34, and 35-44 were reported but may not be stable because the sample size ranged between 30-59. The value of the estimates for “Other or Unknown” for the age groups 20-24, 45-54, 55-64, 65-74, and 75 and above were reported but are not considered stable because the sample size is less than 30.
You missed to mention the functional and extended functional, and failed to clarify that you are using the size distribution of income, which has little or no institutional meaning. Also I recommended that graphs and stats should be confined appendixes, so that the main text flows neatly. PAGEREF _Toc2 \h 4 Measurements for poverty PAGEREF _Toc3 \h 4 Relationship between Income Distribution and Growth PAGEREF _Toc4 \h 5 Relationship between Poverty and Growth PAGEREF _Toc5 \h 7 What is the most important of these three factors? PAGEREF _Toc6 \h 9 Conclusion PAGEREF _Toc7 \h 10 Reference PAGEREF _Toc8 \h 11 Introduction In this essay we will examine the links between income distribution, poverty, and growth and whether any relationships exist between the three. To do this, we will look at trends in income distribution and whether there are any correlating trends in growth or poverty, until we have cross examined all three factors with each other and found how any relationships could be formed.