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What number is a solution of the inequality and how did you reach that conclusion or the problem...
3 is less than or equal to 3x - 15
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3<=3x-15
add 15 to both sides,
18<= 3x
divided by 3 from both sides
x>= 6
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Give an example of an interval estimate of an average or proportion you may use in your daily life. For instance, you may say that you are pretty sure your average commute time is between 25-30 minutes, or you are fairly confident that between 60-65% of the population love dogs. Collect some data to see how well your intuition is working. First, does your sample data meet all assumptions necessary to construct the confidence interval of the type you need? Even if it doesn’t, construct and interpret the confidence interval.
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this is a correct example of the question:"A confidence interval is a range of values so defined that there is a specified probability that the value of a parameter lies within it. In statistics, a confidence interval is a type of estimate computed from the statistics of the observed data. This proposes a range of plausible values for an unknown parameter. The interval has an associated confidence level that the true parameter is in the proposed range. Between driving to work and providing morning transportation for my nanny, I estimate the average amount of miles I drive per week is about 200 miles. Calculating my Confidence Interval, adding 14.8 miles to and from work are equal to 29.6 miles per workday, 7.8 miles to and from my Nanny’s house equal to 15.6 miles per workday day and altogether the daily workday mileage, including transportation for my nanny, is 45.2 miles. In addition, misc. mileage, such as trips to the grocery store, equal an average of 10 miles per work week – as the grocery store is extremely close to home. 45.2 miles four times a week is 180.8 miles per work week. 180.8 plus 10 for misc. mileage is 190.8 The amount of mileage on two my days off has been represented numerically by “0” and the other with “10” to compensate for the misc. mileage. Ending with:Mean (?): 27.257142857143Standard deviation (?): 20.947202823347Weekly Mileage Data Set:45.2, 0, 45.2, 45.2, 45.2, 0, 10Weekly MileageWeek DaysMileage Per DayMonday45.2Tuesday0Wednesday45.2Thursday45.2Friday45.2Saturday0Sunday1095% Confidence Interval: 27.26 ± 15.5(11.8 to 42.8) "With 95% confidence the population mean is between 11.8 and 42.8, based on only 7 samples." Short Styles:27.26 (95% CI 11.8 to 42.8)27.26, 95% CI [11.8, 42.8]Margin of Error: 15.5Sample Size: 7Sample Mean: 27.26Standard Deviation: 20.95Confidence Level: 95% In personally driving these miles on a regular basis, I have all assumptions necessary to construct the confidence interval of the type that I need."
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MIS 690 GCU Performance of a Demand Forecast Using Multiple Linear Regression Model Paper
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MIS 690 GCU Performance of a Demand Forecast Using Multiple Linear Regression Model Paper
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Give an example of an interval estimate of an average or proportion you may use in your daily life. For instance, you may ...
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MATH302 University of Phoenix Mercer Human Resources Data Analysis
Assignment InstructionsA marketing company based out of New York City is doing well and is looking to expand international ...
MATH302 University of Phoenix Mercer Human Resources Data Analysis
Assignment InstructionsA marketing company based out of New York City is doing well and is looking to expand internationally. The CEO and VP of Operations decide to enlist the help of a consulting firm that you work for, to help collect data and analyze market trends. You work for Mercer Human Resources. The Mercer Human Resource Consulting website (www.mercer.com) lists prices of certain items in selected cities around the world. They also report an overall cost-of-living index for each city compared to the costs of hundreds of items in New York City (NYC). For example, London at 88.33 is 11.67% less expensive than NYC.More specifically, if you choose to explore the website further you will find a lot of fun and interesting data. You can explore the website more on your own after the course concludes.https://mobilityexchange.mercer.com/Insights/cost-...In the Excel document, you will find the 2018 data for 17 cities in the data set Cost of Living. Included are the 2018 cost of living index, cost of a 3-bedroom apartment (per month), price of monthly transportation pass, price of a mid-range bottle of wine, price of a loaf of bread (1 lb.), the price of a gallon of milk and price for a 12 oz. cup of black coffee. All prices are in U.S. dollars.You use this information to run a Multiple Linear Regression to predict Cost of living, along with calculating various descriptive statistics. This is given in the Excel output (that is, the MLR has already been calculated. Your task is to interpret the data). Based on this information, in which city should you open a second office in? You must justify your answer. If you want to recommend 2 or 3 different cities and rank them based on the data and your findings, this is fine as well. This should be ¾ to 1 page, no more than 1 single-spaced page in length, using 12-point Times New Roman font. You do not need to do any calculations, but you do need to pick a city to open a second location at and justify your answer based upon the provided results of the Multiple Linear Regression. Think of this assignment as the first page of a much longer report, known as an Executive Summary, that essentially summarizes your findings briefly and at a high level. This needs to be written up neatly and professionally. This would be something you would present at a board meeting in a corporate environment.What is an Executive Summary https://www.surveygizmo.com/resources/blog/how-to-...To help you make this decision here are some things to consider:Based on the MLR output, what variable(s) is/are significant? From the significant predictors, review the mean, median, min, max, Q1 and Q3 values? It might be a good idea to compare these values to what the New York value is for that variable. Remember New York is the baseline as that is where headquarters are located.Based on the descriptive statistics, for the significant predictors, what city/cities has the best potential? What city or cities fall above or below the median and/or the mean? What city or cities are in the upper 3rd quartile? Or the bottom quartile? These are some things to consider not necessarily questions you need to answer in your Executive Summary. But they are questions to help guide you along in your analysis.
6-1 Data Set Homework: Hypothesis Testing on Data Set 2
InstructionsData set 2 presents a sample of the number of defective flash drives produced by a small manufacturing company ...
6-1 Data Set Homework: Hypothesis Testing on Data Set 2
InstructionsData set 2 presents a sample of the number of defective flash drives produced by a small manufacturing company over the last 30 weeks. The company's operations manager believes that the number of defects produced by the process is less than seven defective flash drives per week. Use this online calculator (or any statistical package that you are comfortable with) to construct a hypothesis test to verify the operations manager's claim. Your hypothesis test should include null and alternative hypotheses, a t test statistic value, a p value, a decision, and a conclusion. Submit a Word file that includes the hypothesis test.ONLINE CALCULATOR: https://www.graphpad.com/quickcalcs/OneSampleT1.cf...
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