2010 version of Excel. Some new features include sparklines and slicers‚ and improvements to PivotTables and other existing features can help you to discover patterns or trends in your data that can lead to more-informed decisions. 2. Why would you use conditional formatting? Conditional formatting features reflect graphically the values for salespersons and customers relatives to each other. It is used as a comparison tool such as in the example of sales by salesperson worksheet‚ to compare and
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table’s source data. Question 03: Interviewer: Is it possible to make Pivot Table using multiple sources of data? You: Yes‚ if the multiple sources are different worksheets in the same workbook. Question 04: Interviewer: By any means can you repeat ’row headings’ in the Pivot Table? You: Yes‚ however this option is available in Excel 2010 or later. Question 05: Interviewer: Is it possible to display the text in the data area of Pivot Table? You: No‚ it’s not possible as we could only show
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Newsletter‚ Research Paper‚ and Mailing Labels Project Description: In the following project‚ you will format a newsletter by inserting pictures and screenshots‚ applying two-column formatting‚ and adding a border to a paragraph. You will edit and format a research paper by inserting footnotes‚ creating citations‚ and formatting a bibliography. You will also create mailing labels. Instructions: For the purpose of grading the project you are required to perform the following tasks: Step
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The hardest part about this assignment is finding the center line. The center line is always X-bar-bar. (An x with two bars above it). It’s the mean of all the sample means. I’ve attached an Excel spreadsheet showing how to calculate X-bar-bar. First‚ you find the average of each sampe. There were four in this case. The average is at the bottom. Then you take those four numbers and find the average for those. I rounded up to 5.1 to make it easier to graph. So X-bar-bar = 5.1. Once you X-bar-bar
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University of the Philippines Diliman Extension Program in Pampanga Claro M. Recto Highway‚ CSEZ‚ Pampanga A.Y 2013-2014 LABORATORY WORK # 2 THE BINOMIAL DISTRIBUTION Submitted by: Briones‚ Kristelle R. Mangrobang‚ Jonathane Submitted to: Prof. Ernesto Adorio January 2014 Description: Our instructor instructed to put tabulate the Binomial Distribution for various n given the values of p which are (0.1‚ 0.2‚ 0.3‚ 0.4‚ 0.5‚ 0.6‚ 0.7‚ 0.8 and 0
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1 More 0 Q1 Descriptive Statistics Excel Worksheet b Q2 d Q3 e Q4 b 5. For the following sample of scores: 2‚ 6‚ 1‚ 4‚ 2‚ 2‚ 4‚ 3‚ 2 Mean variance standard deviation 2.889 2.099 1.537 Find the mean‚ variance and standard deviation 6. A sample of size 7 (n = 7) has a mean of M = 9. One of the sample scores is changed from x = 19 to x = 5. What is the value for the new sample mean? New Sample Mean 7 7. Using Excel create a histogram and a line graph using
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26 3.04 2.8 3.75 3.64 3.65 3.18 3.44 3.51 2.81 3.64 2.85 3.56 2.92 3.35 3.46 3.59 3.65 2.97 3.21 3.65 2.94 3.53 3.65 3.61 3.7 2.91 3.77 3.79 3.59 3.38 3.57 2.97 3.44 3.48 2.99 3.73 2.91 3.78 3.13 3.14 SUMMARY Groups Unemployed Part-time Full-time ANOVA Source of Variation Treatment Error Total Null hypothesis: Alternate hypothesis: Significance level: p-Value Decision: Count 25 45 130 0 0 Sum 82.110 152.050 450.130 0.000 0.000 Average 3.284 3.379 3.463 Variance 0.110 0.085 0.091 SS 0.771 18
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Analysis of Variance (ANOVA) Indian Institute of Public Health Delhi MSc CR 2013-15 Outline of the session • Need for Analysis of Variance • Concept behind one way ANOVA • Example • Non-parametric alternative When dependent variable is continuous Type of Dependent variable Type of Independent variable Number of Groups Continuous Categorical More than two Non-parametric (Wilcoxon sign rank) Paired t – test Not normal Non-parametric (Wilcoxon sign
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Variance (ANOVA) Dr. H. Johnson ANOVA • Analysis of variance (ANOVA) is a powerful hypothesis testing procedure that extends the capability of t-tests beyond just two samples. • Many types of ANOVAs‚ today we will learn about a oneway independent-measures ANOVA • Later we’ll learn one-way repeated-measures ANOVA . • We’ll also learn two-factor ANOVA after that. • These ANOVAs are by no means all of them! There are a LOT more types! One-Way ANOVA • The independent measures ANOVA is used
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Chapter 15: Introduction to the Design of Experimental and Observational Studies The Models in Analysis of Variance(ANOVA) and in Regression are different. In regression model‚ all the response and predictors are continuous (quantitative) variables. However‚ in ANOVA model‚ the response is continuous but the predictors are categorical (qualitative) variables. There are some concepts here. 1. Factor and factor level. A factor is a predictor (explanatory or independent) variable. A factor level is
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