There are several types of bad statistics that can be seen when looking at statistical data. According to the video “Don’t be fooled by bad statistics” (2010)‚ there are three basic types of bad data consisting of poorly collected data‚ leading questions‚ and misuse of center. Poorly collected data can produce misleading results. For example‚ when a publishing company conducted a phone survey of popular magazines but did so during business hours when stay at home moms were most likely to participate
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45.16 + 2.3263 * 10 = 99% of households spent less than $68.42 NORMINV (.99‚ 45.16) References Levine‚ D.‚ Stephan‚ D.‚ Krehbiel‚ T.‚ & Berenson‚ M. (2008) Statistics for managers using Microsoft Excel w/cd. (5th ed.). Upper Saddle River‚
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It is known that there are two data types that are utilized to evaluate and draw meaningful conclusions through statistics‚ population and sample data. These two data types are utilized to formulate end conclusions of data that is to be collected and data that is to be reviewed. The description of population data can best be explained‚ as the complete collection of all data that is to be queried/collected and reviewed. Sample data‚ a subset of population data‚ is the partial collection and review
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How to validate root causes in a lean sigma approach Silvia Pederzolli Milan‚ the 15th of april 2013 attivaRes Define Opportunities Measure Performance Analyze Opportunity Improve Performance Control Performance CCR’S Objective • • • • • Identify problem statement: what is wrong and why. Deviation from what is expected (targeted performance). How much/how often Effects on Customers. Find and validate the root causes that assure the elimination of “real” root causes.
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alternative hypothesis should state µ1 − µ2 > 0 ANSWER: c 2. A Type I error is committed when a. a true alternative hypothesis is not accepted b. a true null hypothesis is rejected c. the critical value is greater than the value of the test statistic d. sample data contradict the null hypothesis ANSWER: b In determining an interval estimate of a population mean when σ is unknown‚ we use a t distribution with a. n − 1 degrees of freedom 3. b. c. d. ANSWER: 4. n degrees of freedom n −
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MM207 Final Project Name: Eddie S. Jackson 1. Using the MM207 Student Data Set: a) What is the correlation between student cumulative GPA and the number of hours spent on school work each week? Be sure to include the computations or StatCrunch output to support your answer. My answer : 0.27817234 (from StatCrunch): Correlation between Q10 What is your cumulative Grade Point Average at Kaplan University? and Q11 How many hours do you spend on school work each week? is: 0.27817234 b)
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Investigating Bottling Company Case Study T.P University Statistics Mat 300 Mr. Thevar December 01‚ 2013 Investigating Bottling Company Case Study The case study that is being investigated is for a bottling company producing less soda than what is advertised. Customers have complained that the sodas in the bottles contain less than the advertised sixteen ounces. The employees at the company have measured the amount of soda contained in each bottle. There are thirty bottles that have
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AP Statistics Semester Review Chapters 1- 16 Name___________________________________ 1) One of the reasons that the Monitoring the Future (MTF) project was started was "to study changes in the beliefs‚ attitudes‚ and behavior of young people in the United States." Data are collected from 8 th‚ 10th‚ and 12th graders each year. To get a representative nationwide sample‚ surveys are given to a randomly selected group of students. In Spring 2004‚ students were asked about alcohol‚ illegal drug‚ and
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ECMT1010 BUSINESS AND ECONOMIC STATISTICS A ASSIGNMENT Semester 1‚ 2011 This assignment is worth 10% of your total mark. It must be handed in by 4:30pm on Friday‚ 3 June in the marked drop-off boxes in the Merewether building (Level 2‚ reception area). Late assignments will not be accepted and will result in a zero mark. The assignment must be done individually and plagiarism will result in severe penalty and possibly a zero mark. The assignment will be marked out of 50. Marks
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B6014 MANAGERIAL STATISTICS Course Description: This course introduces students to basic concepts in probability and statistics of relevance to managerial decision making. Topics include basic data analysis‚ random variables and probability distributions‚ sampling distributions‚ interval estimation‚ hypothesis testing and regression. Numerous examples are chosen from quality-control applications‚ finance‚ marketing and management. Type and Length of Exam: Open book‚ 3 hours‚ calculator such as HP-12C
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