Graham Hole‚ Research Skills 2012: page 1 APA format for statistical notation and other things: Statistical abbreviations: ANCOVA ANOVA α β Analysis of Covariance Analysis of Variance alpha‚ the probability of making a Type 1 error in hypothesis testing beta‚ the probability of making a Type 2 error in hypothesis testing CI d d’ df confidence interval Cohen’s measure of effect size d-prime (a measure of sensitivity‚ used in Signal Detection
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Statistical Data Analyses Graeme Ferdinand D. Armecin‚ MHSS Outline of Presentation Overview of Research Designs Functions of Statistics Sampling Principles of Analysis and Interpretation (with Computer Package) – Descriptive Statistics – Inferential Statistics Graeme Ferdinand D. Armecin‚ MHSS Statistical Data Analyses Purposes of Research Design Exploratory/Descriptive Research design – Basic or fundamental in the research enterprise – What is going on? –
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Worked example from Tutorial 8 8.3 Three laboratories‚ A‚ B‚ and C‚ are used by food manufacturing companies for making nutrition analyses of their products. The following data are the fat contents (in grams) of the same weight of three similar types of peanut butter. | |Laboratory | |Peanut Butter |A |B |C |D | |Brand 1 |16
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Friedman Test for a random Block Design -The Friedman Test is used when compairing more than two populations or treatments randomly assigned within blocks. This is the counterpart of the F test or ANOVA used in parametric statistics. Unlike the F test or ANOVA which is used with the assumption that the observations taken from each of the populations are normally distributed‚ the Friedman test is used when no distrubutional assumptions are necessary. The following are the steps in doing the Friedman
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1. (12 points) In this recession‚ yours truly would like to make extra money to support his frequent filet-mignon-et-double-lobster-tail dinner habit. A promising enterprise is to mass-produce garnet wedding rings for brides. Based on my diligent research‚ I have found out that women’s ring size normally distributed with a mean of 6.0‚ and a standard deviation of 1.0. I am going to order 5000 garnet wedding rings from my reliable Siberian source. They will manufacture ring size from 4.0‚ 4
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Statistical Process Control Statistical Monitoring of Processes to Detect Special Causes of Variation Lecture Outline • • • • • • • Basics of Statistical Process Control Control Charts Control Charts for Attributes Control Charts for Variables Control Chart Patterns SPC with Excel Process Capability Statistical QA Approaches Statistical process control (SPC) • Monitors production process to prevent poor quality Acceptance sampling • Inspects random sample of product
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Aptitude Test Sample All GDipSA applicants are required to sit for the aptitude test. This is a test to measure your aptitudes for learning and performing the job of computer programming and systems analysis. There are four parts to the test and each part will be timed separately – Diagram Ability‚ Reasoning‚ Number Ability‚ and English Language Ability. It is designed to test your problem-solving ability‚ your ability to read and understand diagrams‚ etc. You can’t really study for the test. It
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Aptitude Test (Example Only) Non Verbal Reasoning Ability Concerned with how well you can think and solve problems. A series of puzzles are given‚ each of which has a piece missing. You must decide which piece of several given alternatives will complete each puzzle. Examples 1. Which piece completes the pattern? 2. Which piece completes the pattern 3. Which piece completes the pattern? Aptitude Test (Example Only) - continued 4. Which piece completes the pattern? Verbal Reasoning Ability
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Statistical process control (SPC) is the application of statistical methods to the monitoring and control of a process to ensure that it operates at its full potential to produce conforming product. Under SPC‚ a process behaves predictably to produce as much conforming product as possible with the least possible waste. While SPC has been applied most frequently to controlling manufacturing lines‚ it applies equally well to any process with a measurable output. Key tools in SPC are control charts
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Part A Topic of Interest The daily phenomena in our everyday lives that we encounter that is‚ to determine the places and choices of food we consume‚ and restrictions on them based on our daily expenses. Title The ability to bring a change to our daily expenses (savings) through our food consumption Brief background of this topic : We are often pressured by the same mind boggling question‚ that is “What are we to consume for lunch/dinner daily?”. This often arises and in order to
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