“Daily.” 1. Prepare a spreadsheet with three columns: Date, High Temperature, and Low Temperature. List the past 60 days for which data is available. 2. Prepare a histogram for the data on high temperatures and comment on the shape of the distribution as observed from these graphs. 3. Calculate and S. mean 40.7483 Standard deviation 1.905878 4. What percentage of the high temperatures are within the interval – S to + S?
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QUESTION 1 1. For the interval estimation of μ when σ is known and the sample is large, the proper distribution to use is | | the normal distribution | | | the t distribution with n degrees of freedom | | | the t distribution with n + 1 degrees of freedom | | | the t distribution with n + 2 degrees of freedom | 5 points QUESTION 2 1. An estimate of a population parameter that provides an interval of values believed to contain the value of the parameter is known as the
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Assignment 1: Bottling Company Case Study Due Week 10 and worth 140 points Imagine you are a manager at a major bottling company. Customers have begun to complain that the bottles of the brand of soda produced in your company contain less than the advertised sixteen (16) ounces of product. Your boss wants to solve the problem at hand and has asked you to investigate. You have your employees pull thirty (30) bottles off the line at random from all the shifts at the bottling plant. You ask your employees
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test(friends[,1], conf.level=0.95, mu = 130, alternative = "two.sided") 1. They are normally distributed. The density curve looks approximately bell-shaped and symmetric. We could say that it is close to normal distribution. 2. It is appropriate to use the t-test because the distribution is normal even it is not perfectly normally distributed. 3. Mean = 119.0667 Standard deviation = 29.56691 Standard Error = 29.56691/sqrt(30) =5.3981545 t* = t(df = 29, CL = 95%) = 2.045 Margin of Error =
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will be either a man or a clerical worker? f) What is the probability that the winner will be an woman and in management? g) Suppose the winner is a man. What is the probability that he is from the technical group? Q2. Probability Distributions - Discrete BANKING INDUSTRYs PUBLIC IMAGE * Gallup Survey of 1002 bank customers * 80% bank their primary financial institution * 65% very satisfied with the bank * 79% banks are very important * 64% banks are more competitive
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t-statistic is higher than absolute critical value. Otherwise, do not reject . ii. Phillips- Perron test (PP) Phillips- Perron test (1988) developed a generalization of the ADF test procedure that allows for fairly mild assumptions concerning the distribution of errors. The Phillips- Perron statistics are just modifications of the ADF t statistics that take into account the less restrictive nature of mistakes process. Reject null hypothesis ( ) if absolute t-statistic is higher than absolute critical
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Course Project Proposal The Implementation of Cloud computing and existing Database System in Conventional Power plants Rahul Shah (rahul09oct@gmail.com) MIS-535 Prof. Nichelle Manuel Table of Contents Abstract 3 Company Background 3 Business Problems 3 High-Level Solution 4 Smart grid and Cloud computing 5 SCADA and Cloud computing
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In this Module, you studied two short plays, "Am I Blue" and "Andre's Mother" as well as the best practices for argumentation. Now, consider the following questions, and choose to respond to ONE of these prompts in your initial post (at least 200 words). Be sure to present only your best writing and analytical skills. Then, when you reply to at least two other students, challenge each other and build on what other students have said. Develop a deep, complex reading of the plays in this discussion
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n1=n2 =28 b) n1=n2=20 c) n1=n2=40 d) n1=n2=192 [pic] [pic] [pic] [pic] [pic] The minimum sample size is [pic] 4) Find the critical t-value that corresponds to c= 0.95 and n=16. a) 2.131 b) 2.947 c) 2.602 d) 1.753 Using tables of t distribution, 5% two sided critical value of t for 16-1=15 degrees of freedom
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LAB 1 –Mohammed Abdo 1.Analyze and discuss the results shown in the Statistics table (including definitions of the following statistical measures: Mean, Std. Error of Mean, Median, Mode, Std. Deviation, Variance, Skewness, Std. Error of Skewness, Kurtosis, Std. Error of Kurtosis, Range, Percentiles) (15%) Statistics | | Variable 1Life expectancy at birth (years), 2006 | Variable 2 Adult literacy rate (% aged 15 and above), 2006 | Variable 2 Combined gross enrolment ratio in education (%),
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