3.6.2 Correlation Analysis Correlation analysis is one of the data analysis method use in quantitative research when researchers intended to examine the relationship between both variables (Research Methodology‚ n.d.). The Pearson’s Moment Correlation Coefficient (PMCC) ranges between +1 and -1.If the coefficient value is +1 and -1‚ it is an indication that the relationships between both variables are strong. A value of +1 indicate that there is a positive relationship between variables‚ means that
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Figure 1: The pupillary reflex data demonstrates the mean change in each pupil’s diameter. In this experiment‚ data was taken from six groups. From each group‚ 3 things were measured and averaged together and that was Ambient‚ Both Eyes Open and One Eye Open. The vertical lines represents the standard deviation of the averages through error bars. The height represent the average pupil diameter amongst the Ambient‚ Both Eyes Open and One Eye Open data which was measured in centimeters (cm). 2) The
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Chi-square requires that you use numerical values‚ not percentages or ratios. Then calculate 2 using this formula‚ as shown in Table B.1. Note that we get a value of 2.668 for 2. But what does this number mean? Here’s how to interpret the 2 value: 1. Determine degrees of freedom (df). Degrees of freedom can be calculated as the number of categories in the problem minus 1. In our example‚ there are two categories (green and yellow); therefore‚ there is I degree of freedom. 2. Determine a relative
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DATA ANALYSIS Population Size = 9 Samples from Unilever = 5 Sample from Procter & Gamble = 4 SAMPLE ANALYSIS QUESTION NO. AGREE AGREE DISAGREE DISAGREE NEUTRAL NEUTRAL UNILEVER P & G UNILEVER P & G UNILEVER P & G 1 5 5 0 0 0 0 2 5 2 0 0 0 2 3 5 5 0 0 0 0 4 5 5 0 0 0 0 5 5 5 0 0 0 0 6 5 1 0 1 0 2 7 5 5 0 0 0 0 8 5 2 0 0 0 2 9 5 5 0 0 0 0 10 5 1 0 1 0 2 QUES. NO. 15 16 17 18 19 HIGH HIGH LOW LOW MODERATE MODERATE N/A N/A UNILEVER P & G UNILEVER P & G UNILEVER P & G UNILEVER P & G 5 3 0 0 0
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W4A 9.13 Recall that “very satisfied” customers give the XYZ-Box video game system a rating that is at least 42. Suppose that the manufacturer of the XYZ-Box wishes to use the random sample of 65 satisfaction ratings to provide evidence supporting he claim that the mean composite satisfaction rating for the XYZ-Box exceeds 42. a. Letting µ represent the mean composite satisfaction rating for the XYZ-Box‚ set up the null hypothesis H₀ and the alternative hypothesis H₀ needed if we wish to attempt
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Please pick 3 of the provided topics‚ your choice‚ and define AND provide a solid real-life example for each topic. Each question is worth (1) point total. It will be scored ½ point for your definition and ½ point for your example. Please post all completed quizzes to your Individual newsgroup. DUE THURSDAY!!! 1. Neutrality: State of being neutral‚ being unengaged between others‚ and taking no part in sides. Example‚ the mother of Tiffany had to remain neutral when deciding upon allowing her to
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There were two main driving issues behind our analysis of this Sport Obermeyer case: the measurement and understanding of demand from uncertain and disparate forecasts‚ and the allocation of production between factories in Hong Kong and Mainland China (Lo Village‚ Guangdong). The main challenges facing the company were long lead times‚ little to no feedback from the market before the first production decision (the first real demand signal is at the Las Vegas trade show in March) and inaccurate forecasts
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Unit 5 A Qualitative Study of the Oglala Lakota Sioux: The Devastating Implication of Substance Abuse Submitted by Michael L. Albiston “I certify that I have read A Student’s Guide to Academic Integrity at the University of Oklahoma‚ and this paper is an original paper composed by me for this course. Except where properly cited and attributed‚ it has not been copied or closely reworded from any other source and has not been submitted as a whole‚ or in part‚ for credit in any other course
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Unit 6. Normal Distribution Solution to problems Statistics I. International Group Departamento de Economa Aplicada Universitat de Valncia May 20‚ 2010 Problem 35 Random variable X : weekly ticket sales (units) of a museum. X ∼ N(1000‚ 180) Find the probability of weekly sales exceeding 850 tickets. Find the probability of the interval 1000 to 1200 Take 5 weeks at random. Find the probability of weekly sales not exceeding 850 tickets in more than two weeks Ticket price is 4.5 Euros
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TO: Emily Whitfield FROM: THU NGUYEN DATE: 02-21-12 SUBJECT: Case Problem #2 Problem Statement Don Capita‚ the owner of Carpita Bottling Company in Lakeland‚ Wisconsin‚ received a phone call from the J.R. Summers grocery manager regarding the recently shipment. She requested Carpita Company to replace the entire of shipment because there were several bottles that weren’t qualified the fill level of 16-ounces. Therefore‚ Don decided to take a sample of 64 bottles of beer from the store to measure
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