5. Budget lapsing occurs when unspent funds do not carry over from one budgetingperiod to the next. Because budget lapsing often leads to a spike in expenditures at theend of the fiscal year, the researchers recorded expenses per full-time equivalentemployee for each in a sample of 1,751 army hospitals. The sample yielded the followingsummary statistics: x $6,563 and s $2,484. Estimate the mean expenses for full-timeequivalent employee of all US army hospitals using a 90% confidence interval. Interpretthe result.

We have a sample data of 1751 army hospitals, Sample mean = 6563 and sample standard deviation =…

Answered: 5. Budget lapsing occurs when unspent…

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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Home values tend to increase over time under normal conditions, but the recession of 2008 and 2009 has reportedly caused the sales price of existing homes to fall nationwide (Businessweek, March 9, 2009). You would like to see if the data support this conclusion. The file HomePrices contains data on 30 existing home sales in 2006 and 40 existing home sales in 2009.a) Provide a point estimate of the difference between the population mean prices for the two years.b) Develop a 99% confidence interval estimate of the difference between the resale prices of houses in 2006 and 2009.c) Would you feel justified in concluding that resale prices of existing homes have declined from 2006 to 2009? Why or why not? 2006 ($1000s) 2009 ($1000s)213100 155400226200 189800239100 200800214300 280400161700 213200181200 181100228600 117400222100 130000228900 170000235800…
"Conservationists have despaired over destruction of tropical rain forest by logging, clearing, and burning." These words begin a report on a statistical study of the effects of logging in Borneo. Here are data on the number of tree species in 12 unlogged forest plots and 9 similar plots logged 8 years earlier: 22 18 22 20 15 21 13 13 19 13 19 15 17 4 18 14 18 15 15 10 12 Unlogged Logged Does logging significantly reduce the mean number of species in a plot? Assume equal population variances and use a = 0.05. Use the difference: logged - unlogged. 1. Test Stat: 2. Critical Region: a. T> -1.729 b. Tabs (-1.729) c. T abs (-1.729) 3. Conclusion: At 5% level of significance a. logging reduces the mean number of species in the plot b. there is no evidence that logging reduces the mean number of species in the plot
3. In a bar graph of qualitative data, the highest bar always corresponds to that data's А. Мean В. Median С. Мode D. Range E. Variance 4. If the data is skewed right, which of the following would you expect to be true? A. Mean > Median B. Mean < Median C. Mean = Median
Past records suggest that the mean annual income, µ,, of teachers in state of New York is less than or equal to the mean annual income, µ,, of teachers in Illinois. In a current study, a random sample of 15 teachers from New York and an independent random sample of 15 teachers from Illinois have been asked to report their mean annual income. The data obtained are as follows: Annual income in dollars New York 46406, 43039, 47083, 47056, 46810, 47074, 43524, 59524, 49763, 48083, 46100, 53904, 43171, 44341, 52229 Illinois 53010, 43485, 39037, 47622, 47151, 50372, 41401, 35007, 40591, 49268, 44782, 39668, 52555, 49976, 49207 The population standard deviation for mean annual income of teachers in New York and in Illinois are estimated as 6600 and 6200, respectively. It is also known that both populations are approximately normally distributed. At the 0.01 level of significance, is there sufficient evidence to reject the claim that the mean annual income of teachers in state of New York is…
Answer the following question from the distribution represented bythe histogram below. How much can there be at most data that is smaller thanthe median estimate ?
Do question 1
Identify the following topics whether it is a DESCRIPTIVE STATISTICS or INFERENTIAL STATISTICS. 1. Internet availability at home and student’s average sleeping time at night. 2. Social media involvement and practices of Grade 12 HUMSS students. 3. The effect of the use of a local packaging material on the shelf life of a product. 4. The marketability of innovative product to SHS students. 5. Children of single parents and their level of Math anxiety.
Suppose the observational units in a study are the patients arriving at an emergency room on a given day, Nov 11, 2019. Number of patients that arrive before noon is a qualitative variable is a quantitative variable is not a variable
A retail chain plans to sell bottles of a special holiday drink this season. The bottles are typically stocked one month in advance and sold before the holiday for full price. After the holiday, the leftover bottles would be marked down to get sold. For each bottle, the item cost is $3.85, the full selling price is $11.99, and the marked down price is $0.98. Historically, demand is normally distributed with a mean of 1.28 million bottles and a standard deviation of 0.04 million bottles. You would need to show equations, steps, and the final results with units for full credits. Answers are in millions using 5 decimals, e.g. 1.76384 million bottles. You should not round up the numbers! For simplicity, all taxes and other costs are not considered. All parts below are based on the optimal quantity decision found in part (a). (a) To maximize expected profit, how many bottles should the retailer carry this year? (b) What are the expected inventory and the corresponding expected sales? (c)…
Estimating income tax based on dividends is also not straightforward, due in part to Australia’s franking credit scheme. Mike is looking to simplify total annual tax projections for a share portfolio based simply on the share portfolio's current value. To do this, he wishes to determine if there is any statistically significant linear relationship between the two. Mike has randomly sampled 30 individuals with share portfolios over AUD$100,000 and mapped the assessed value of the portfolio (in AUD $1000) to the total taxes paid on that amount (in AUD$1). Mike's data is in the table below. Assessed Value Taxes 426.1 5014 368.8 3698 309.8 3691 373.9 5189 445.7 4455 505.1 5189 342.3 3416 343.6 3931 432.3 4393 329.2 3267 291.2 2871 399.3 4013 392.7 4728 482.2 4885 480.6 4888 390.8 3917 371.6 3738 311.9 3098 343.7 3633 304.7 3538 274.6 3427 457.1 4633 231.5 4009 450.5 4565 510.1 5946 308.4 3045 348.8 3504 410.4 3375…

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