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Solving Statistics Assignments Gets 10x Easier with Us Statistics
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Example 1: Maximizing Profit with Graphical Method1. Find the feasible region and optimum solution for this linear programming model, using the graphical method. What is the maximum profit?Maximize Z = 6.5x1 + 10x2Subject to:2x1 + 4x2 ≤ 40x1 + x2 ≤ 15x1 ≥ 8 x1, x2 ≥ 02. Find the feasible region and optimum solution for this linear programming model, using the graphical method. What is the minimum cost?Minimize Z = 8x1 + 6x2Subject to...

Course Code   :  MGMT710
Course Title   :  forecasting methods for business decisions
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Part 1: Financial Tools and FunctionsMidwest Copper Linda Rubin is a project analyst at Midwest Copper, a mining company in northern Minnesota. The company is considering investing in a copper mine near Spirit River. Linda wants you to help develop a financial workbook that analyzes the cost of opening the mine, running it for 25 years, and then cleaning up the mine site after its useful life is over. Complete the following. 1. Go to the Pr...

Course Code   :  PHI2100
Course Title   :  reasoning and critical thinking
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Objectives1.You will conduct a one-sample t-test for Writing for the null hypothesis in the population H0: μ = 50, with α = .05, two tailed. Answer the following questions (report to two decimal places) a.Obtain the t-statistic, by hand computation.  b.Obtain the critical value from the t table.  c. Obtain the 95% confidence interval around , by hand computation.  d. Interpret the confidence interval, according to i...

Course Code   :  CS435
Course Title   :  introduction to big data
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Assessing the Distribution of Three VariablesIn this assignment, you will characterize three variables in the ISLR College data set to determine whether the normal approximation is appropriate for that variable. You will need to load the ISLR package as well as MASS and stats. 1.Assess the distribution of the three variables (Accept, Grad.Rate, and PhD) and determine if the normal approximation is appropriate for their analysis. a.Plot a his...

Course Code   :  QUAN2020
Course Title   :  process and statistics-based decisions
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Problem 1Problem 1 Quicklane Coffee is a drive-through coffee kiosk.  During rush hour, the owner estimates that customers arrive at a rate of 12 per hour.  It takes an average of 3 minutes to serve each customer, and one customer at a time is served.  Assume Poisson arrivals and exponential service times.  Use Excel to solve this problem. Also insert a text box that shows the formulas you use to calculate the requested ...

Course Code   :  ADMN2167 |#| business decision making
Course Title   :  business decision making
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Descriptive analysis of business student's central location and variance/covariance measures1. Conduct a descriptive analysis of the sample of business students which includes the following:• measures of central location and variance/covariance for the relevant variables• represent each variable graphically using one of the types of graphs discussed in the course• represent any relevant relationships between the variables using ap...

Course Code   :  MATH160
Course Title   :  elementary statistics
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Question 11. Shade the indicated area on the standard normal curve, then find the probability using your calculator or a standard normal table: a. P(z < -1.56) b. P( z > 2.06) 2. Adults have IQ scores that are normally distributed with a mean of 100 and a standard deviation of 15. a. What IQ score represents the 95th percentile? b. What IQ score represents the 50th percentile? 3. If exam scores are normally distributed with a mean ...

Course Code   :  FINC305
Course Title   :  introduction to data science
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Part 11.Create a repository in RapidMiner called Homework and create two subfolders Data and Processes under the Homework repository 2.Import the data from the file Titanic.xls attached on Blackboard and store it in a repository called Titanic in the Data subfolder you created above by doing the following a.In Design View Manually add the Read Excel Operator b.Manually add the Store operator and specify the repository c.Run the process t...

Course Code   :  MGT3332
Course Title   :  operations and supply chain management
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Data Analysis and InterpretationThe Fresh Detergent Case Enterprise Industries produces Fresh, a brand of liquid detergent.  In order to more effectively manage its inventory, the company would like to better predict demand for Fresh.  To develop a prediction model, the company has gathered data concerning demand for Fresh over the last 33 sales periods.  Each sales period is defined as one month.  The variables are as fol...

Course Code   :  MATH 153
Course Title   :  introduction to statistical methods
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Part 1: Correlation and Linear RegressionThere is a population of workers in this country who are employed but who do not earn enough in wages to securely cover the cost of their family’s basic needs. Although the numbers vary by state or district, these individuals and their families are similar in that they cross racial, cultural, and local boundaries. They are considered the nation’s “Working Poor.” This common grade...

Course Code   :  HLTH 501
Course Title   :  management
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Question 1: Interpretation of relative riskTask: 1. The relative risk of developing lung cancer among individuals who smoke is 15.0. Which of the following is the most accurate interpretation of this information?A) Individuals who have lung cancer are 15.0% more likely to smoke than individuals who do not have lung cancer.B) Individuals who have lung cancer are 15.0 times more likely to smoke than individuals who do not have lung cancer.C) Indi...

Course Code   :  KB7044
Course Title   :  engineering management data analysis
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Question: Learning Outcomes On successful completion of this assignment, you will: 1. Know how to perform correlation and regression analyses on a set of given data  and interpret the results. 2. Perform straightforward statistical inferences. 3. Practice the principle of risk-based approach to data analysis through a  mathematically case study with analytical and numerical approaches. 4. Use the probabilistic-based method so de...

Course Code   :  MATH 365
Course Title   :  structure of mathematics
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The Language and Terminology1. Consider the following is data on the 9-month salary of mathematics faculty members (to the nearest thousand dollars) in the year 1999-00: 61 63 72 80 70 76 97 60 57 65 67 73 66 75 61 54 61 65 70 68 53 50 50 40 51 44 62 57 51 52 50 57 52 52 56 46 Use class width = 10K. Complete the following frequency table: Class 39.5 − 49.5 49.5 − 59.5 59.5 − 69.5 69.5 − 79.5 79.5 − 89.5 89...

Course Code   :  MATH 365
Course Title   :  structure of mathematics
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The Language and Terminology1. Consider the following is data on the 9-month salary of mathematics faculty members (to the nearest thousand dollars) in the year 1999-00: 61 63 72 80 70 76 97 60 57 65 67 73 66 75 61 54 61 65 70 68 53 50 50 40 51 44 62 57 51 52 50 57 52 52 56 46 Use class width = 10K. Complete the following frequency table: Class 39.5 − 49.5 49.5 − 59.5 59.5 − 69.5 69.5 − 79.5 79.5 − 89.5 89...

Course Code   :  CMDA2005
Course Title   :  integrated quantitative science
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Problem 1Problem 1 (12 pts) – R is required. Consider the data in exam_data_SP20.csv. Load in this data using the read.csv() function using the proper path to the file. The data concerns fruit flies. The variables are thorax which is a measurement of thorax length, longevity the lifetime of the fly in days, and activity which describes the activity group for the fly. The groups are: isolated = fly kept solitary, one = fly kept with one ...

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