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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MAT 300: STATISTICS M&M PROJECT PAPER ALEXANDREA WINT PROFESSOR AZAD‚ VARGHA June 3‚ 2012 Purpose of Report The purpose of this project is to find the information for a quality control manager of Masterfoods plant. The manager wants to know about the proportion of candies and if they are the same or different. If there is any difference that exists then the manager wants to know why there is a difference in such cases. A study was conducted and results were obtained and based
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Association and Causation Statistics is the science pertaining to the collection and analysis of data. It is the refinement of the ambiguous‚ the distilling of truth from the crudest of resources. For this reason‚ it is necessary to discern the simplest path from Point A to Point B‚ disregarding any unnecessary data that may lie in the path. This‚ however‚ is easier in theory than in practice‚ and statisticians have developed various techniques to help differentiate between causation‚ a variable
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(BHRM) BUSINESS STATISTICS (BBI 1224) Name : Student ID# : Semester : Academic Honesty Policy Statement I‚ hereby attest that contents of this attachment are my own work. Referenced works‚ articles‚ art‚ programs‚ papers or parts thereof are acknowledged at the end of this paper. This includes data excerpted from CD-ROMs‚ the Internet‚ other private networks‚ and other people’s disk of the computer system. Student’s Signature : SUPERVISOR’S COMMMENTS/GRADE:
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Standard deviation is the square root of the variance (Gravetter & Wallnau‚ 2013). It uses the mean of the distribution as a reference point and measures variability by considering the distance of each score from the mean. It is important to know the standard deviation for a given sample because it gives a measure of the standard‚ or average‚ range from the mean‚ and specifies if the scores are grouped closely around the mean or are widely scattered (Gravetter & Wallnau‚ 2013). The standard deviation
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Null Hypothesis: No differences between population means. µ1=µ2=µ3 Alternative Hypothesis: At least one pop mean is different from at least one other pop mean. (Can’t use symbols) 3) Numerator of the F statistic measures between groups variance (MSbetween) 4) Denominator of the F statistic measures within groups variance (MSwithin) 6) A priori test: planned ahead of time‚ before you collect data decide on test‚ based on reasoning Post hoc: choose after you look at data; based on data‚ choose
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Associate Level Material Appendix B Statistics UCR and Self-Report Data Complete the matrix below. To complete this matrix‚ list two pros and two cons of Uniform Crime Report (UCR) data and two pros and two cons of self-report data. |Statistical Information |Pros |Cons | |Official Information: |One pro about the UCR is that it can be |One con about the UCR is that it only incudes
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strong evidence that the gambler’s claim is true? a. Specify the null and alternative hypothesis for this problem. p = probability gambler guess correctly for an individual roll null (Ho): p = 1/6 alternative (Ha): p > 1/6 b. Find the test statistic and calculate the p-value. What do you conclude? pˆ = 0.2 so z = (0.2-0.1667)/ .1667(.8333) /100 = 0.894. From the table the p-value is between 18% and 19%. The null hypothesis is a reasonable explanation of this data so we do not have strong evidence
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Section 1.1 - Introduction to the Practice of Statistics 1. Explain the difference between a population and a sample. A population is the entire group to be studied and a sample is a portion of the population. 2. Explain the difference between a parameter and a statistic. A statistic is a numerical summary of a sample and a parameter is a numerical summary of a population. 3. What is Descriptive Statistics and how is it used? Descriptive statistics describes the results of a sample without
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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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