Joan's Nursery specializes in custom-designed landscaping for residential areas. The estimated labor cost associated with a particular landscaping proposal is based on the number of plantings of trees, shrubs, and so on to be used for the project. For cost estimating purposes, managers use two hours of labor time for the planting of a medium-sized tree. Actual times from a sample of 10 plantings during the past month follow (times in hours). 2.6 2.3 2.5 3.1 1.6 3.5 2.9 1.5 2.5 1.8 With a 0.05 level of significance, test to see whether the mean tree-planting time differs from two hours. a. State the null and alternative hypotheses. Ho : - H, : b. Compute the sample mean. 2.33 (to 2 decimals) c. Compute the sample standard deviation. 0.5355 (to 4 decimals) d. Find the test statistic and p-value. (Use Table 2 in Appendix B.) 1.949 (to 3 decimals) p-value greater than 0.20 e. What is your conclusion? We do reject the null hypothesis. Thereis enough evidence to prove that the mean tree-planting time differs from 2 hours.

Joan's Nursery specializes in custom-designed landscaping for residential areas. The estimated labor cost associated with a particular landscaping proposal is based on the number of plantings of trees, shrubs, and so on to be used for the project. For cost estimating purposes, managers use two hours of labor time for the planting of a medium-sized tree. Actual times from a sample of 10 plantings during the past month follow (times in hours). 2.6 2.3 2.5 3.1 1.6 3.5 2.9 1.5 2.5 1.8 With a 0.05 level of significance, test to see whether the mean tree-planting time differs from two hours. a. State the null and alternative hypotheses. Ho : - H, : b. Compute the sample mean. 2.33 (to 2 decimals) c. Compute the sample standard deviation. 0.5355 (to 4 decimals) d. Find the test statistic and p-value. (Use Table 2 in Appendix B.) 1.949 (to 3 decimals) p-value greater than 0.20 e. What is your conclusion? We do reject the null hypothesis. Thereis enough evidence to prove that the mean tree-planting time differs from 2 hours.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

The number of megapixels in a digital camera is one of the most important factors in determining picture quality. But, do digital cameras with more megapixels cost more? The following data show the number of megapixels and the price ($) for 10 digital cameras(Consumer Reports, March 2009). At the .05 level of significance, are the number of megapixels and the price related? Explain. Brand and Model Megapixels Price (S) Canon PowerShot SDI100 IS 180 Casio Exilim Card EX-510 200 230 120 10 Sony Cyber-shot DSC-T70 Pentax Optio MS0 Canon PowerShot G10 Canon PowerShot A590 IS 7 15 470 140 180 310 Canon PowerShot El 10 Fujifilm FinePix FOOFD Sony Cyber-shot DSC-W170 Canon PowerShot A470 12 10 250 110 7
4. Find the percentage of data points that lie below z = 1.46. Draw a picture to support your work.
Please use typing and answer all questions as from one subpart.
Create a side-by-side boxplot for vitamin D level vs. NewAge and a side- by-side boxplot for vitamin D level vs. country. Create a scatterplot to show the relationship between vitamin D level and Age. Compare these two side-by-side boxplots and the scatterplot and explain your findings. • Note: Write appropriate captions for the tables, graphs, and outputs.
Answer this question in R. Show as much of your work as possible.
A firm produces bolts whose length x is normally distributed with a Me = 78.3 mm and a SD = 1.4mm. If any bolt longer than 80mm has to be discarded, what proportion of the firm's production will be lost?
Please answer number 7. Make sure to show work! Thanks!
3. Consider the following sets of data from Dataset II. For the dataset, determine what type of chart or graph would best represent those data (A-D). Explain your reasoning in detail. Pie chart Line graph Bar graph Scatter plot Dataset II: Carolyn collected data on rates of recycling participation over the last eight years to determine whether her city’s education program has been effective. In 2006, before the education program was implemented, 9% of the city’s residents recycled. Her data follows: Year Participation Rate 2006 9% 2007 13% 2008 17% 2009 22% 2010 28% 2011 31% 2012 32% 2013 30% 2014 31% What type of figure would best represent these data in Dataset II? ________ Reasoning:
Because of uncertainty in real estate markets, many homeowners are considering remodeling and constructing additions rather than selling, probably the most expensive room in the house to remodel is the kitchen, with an average cost of about $23,400. In terms of resale value, is remodeling the kitchen worth the cost? The following cost and resale figures are published by remodeling magazine for 11 cities. Assume the differences are normally distributed in the population. City Cost Resale Atlanta $20427 $25163 Boston $27255 $24625 Des Moines $22115 $12600 Kansas City $23256 $24588 Louisville $21877 $19267 Portland $24255 $20150 Raleigh $19852 $22500 Reno $23624 $16667 Ridgewood $25885 $26875 San Francisco $28999 $35333 Tulsa $20836 $16292 Requirements: Use the above data to construct a 99% confidence interval for the difference between cost and added resale value of kitchen…
Using the data below and the steps discussed in the classroom, or the square root method, make a frequency distribution table containing the following: 1. classes with the lower and upper limits 2. class boundaries 3. tally 4. frequencies 5. class marks 6. cumulative frequency Data: Below are the number of patients who visited the Out-patient Department of the Baguio General Hospital in each day of the month of November 2019. Construct a frequency distribution table.
A high school has 44 players on the football team. The summary of the players' weights is given in the box plot. Approximately, what is the percentage of players weighing less than or equal to 241 pounds? 170 198 241 154 268 - 0 o 150 160 170 180 190 200 210 220 230 240 250 260 270 00 Weight (in pounds)
The population of Ada County, Idaho has been steadily increasing for more than 20 years. The table below shows the population (people) from 2015 through 2019 in Ada County. year 2015 2016 2017 2018 2019 population 432,862 444,486 456,548 468,764 481,587 a. What is the average rate of change in the population of Ada County from 2015 to 2018? Round to the nearest whole person and include units. b. What is the average rate of change in the population of Ada County from 2016 to 2018? Round to the nearest whole person and include units. c. What is the average rate of change in the population of Ada County from 2017 to 2018? Round to the nearest whole person and include units. d. What is the average rate of change in the population of Ada County from 2018 to 2019? Round to the nearest whole person and include units. e. Give a good approximation for the rate at which the population of Ada County is growing by the end of 2018? Round to the nearest whole person and include units.