to use statistics in your research This chapter explains the importance of statistics‚ and why you need to use statistics to analyse your data. What is statistics? Put simply‚ statistics is a range of procedures for gathering‚ organising‚ analysing and presenting quantitative data. ‘Data’ is the term for facts that have been obtained and subsequently recorded‚ and‚ for statisticians‚ ‘data’ usually refers to quantitative data that are numbers. Essentially therefore‚ statistics is a scientific
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FILE=’C:\Users\NwojiS\AppData\Local\Microsoft\Windows\Temporary Internet Files\Content.Outlook\I4CH037R\Final generational differences.sav’. DATASET NAME DataSet1 WINDOW=FRONT. DESCRIPTIVES VARIABLES=Age Young Role Ability Disagreement Conflict /STATISTICS=MEAN STDDEV MIN MAX SEMEAN. DescriptivesNotes Output Created 28-APR-2014 16:55:36 Comments Input Data C:\Users\NwojiS\AppData\Local\Microsoft\Windows\Temporary Internet Files\Content.Outlook\I4CH037R\Final generational differences.savActive Dataset
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________________________________________________________________________ Date : _________________ Statistics 1 Laboratory Exercise No. 1 NATURE OF STATISTICS AND THE DIFFERENT TYPES OF VARIABLES A. Classify the following statements as belonging to the area of descriptive statistics or inferential statistics. Write DS for descriptive statistics and write IS for inferential statistics on the space provided. 1. Yesterday’s record shows that three (3) employees were absent due to Dengue
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business statistics and data analysis. As businesses collect more and more information‚ the ability to efficiently and effectively utilize this information cause trained knowledge workers to be in greater demand. However‚ business statistics‚ where many of these high demand skills are taught‚ is a course that many students view in an unfavorable light. To revise the students’ perceptions of business statistics there is a need to revise the way that undergraduate business statistics courses
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looking like a modest profit growth like the first graph it looks like a huge increase in profit because the whole graph is not shown. The scale on the first graph is bigger so it doesn’t look like as big as a jump compared to the second graph. Statistics can be used in many different ways to deliberately mislead the audience. One major way is by adding a break in a graph as seen above. Another way to deliberately mislead the audience is to change the scale of the graph which makes it looks like
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INTRODUCTION Official poverty statistics in the Philippines are part of the System of Designated Statistics instituted and implemented by the National Statistical Coordination Board (NSCB) pursuant to Executive Order No. 352 signed on 01 July 1996. Based on policies approved by the NSCB‚ official poverty statistics consist of the food and poverty thresholds‚ the subsistence and poverty incidence‚ the income gap‚ the poverty gap‚ and the severity of poverty index. The estimates of subsistence
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One- and Two-Sample Tests of Hypothesis‚ Variance‚ and Chi-squared Analysis Problem Sets University of Phoenix Applied Business Research and Statistics QNT 561 August 5‚ 2011 Chapter 10 Exercise Question 31: A new weight-watching company‚ Weight Reducers International‚ advertises that those who join will lose‚ on the average‚ 10 pounds the first two weeks with a standard deviation of 2.8 pounds. A random sample of 50 people who joined the new weight reduction program revealed the mean
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Many students‚ including myself‚ are unaware how important statistics can be to the research process in Psychology. In this report‚ I will discuss the method used to perform researches as well as the forms of data used through statistic in Psychology. This will include the advantages and disadvantages of each form used. Introduction Many studying Psychology might be shocked that statistics is a requirement. It is vital to understand statistics and how it relates when performing research. Many methods
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Sciences PSY/315 Version 2 Statistical Reasoning in Psychology Copyright © 2010‚ 2009‚ 2006 by University of Phoenix. All rights reserved. Course Description This is an introductory course in applied statistics‚ with particular emphasis in psychology. Both descriptive and inferential statistics are included. In addition‚ this course provides the basic statistical background and understanding needed. Policies Faculty and students/learners will be held responsible for understanding and adhering
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cell phone bill in this city is μ = $42 Population proportion Example: The proportion of adults in this city with cell phones is π = 0.68 States the claim or assertion to be tested Is always about a population parameter‚ not about a sample statistic Is the opposite of the null hypothesis e.g.‚ The average diameter of a manufactured bolt is not equal to 30mm ( H1: μ ≠ 30 ) Challenges the status quo Alternative never contains the “=”sign May or may not be proven Is generally the hypothesis
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