Chart editor • Edit – – – – – Colour Font Axes Rotation Chart type ENTER VARIABLES ENTER VARIABLES ENTER VARIABLES ENTER DATA 2 ENTER DATA SAVE EDIT VIEW SELECT CASES 1 3 2 6 4 5 7 3 TRANSFORM : Compute ALL CASES DELETE BMI = wt(kg)/ht(m)2 TRANSFORM : Recode BMI Categorize TRANSFORM : Recode BMI_gp : 1. Underweight =23 BMI_gp 1. Underweight 2. Normal 3. Overweight 1 DESCRIPTIVE STATISTICS 6th basic data 2 2 3 9 4
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variable. B) a parameter. C) a discrete random variable. D) a continuous random variable. 2) A 99% confidence interval estimate can be interpreted to mean that A) if all possible samples are taken and confidence interval estimates are developed, 99% of them would include the true population mean somewhere within their interval. B) we have 99% confidence that we have selected a sample whose interval does include the population mean. C) Both of the above. D) None of the above. 3) Tim was planning for
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Department of Mathematics Created by Prof. Tan Le & Hang Lai STATISTICS – EXCEL 2010 INSTRUCTIONS Table of Contents 1. Open Microsoft Excel .............................................................................................................................................. 3 2. Bar Charts.................................................................................................................................................................... 4 3. Pie Charts
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For Students Solutions to Odd-Numbered End-of-Chapter Exercises * Chapter 2 Review of Probability 2.1. (a) Probability distribution function for Y Outcome (number of heads) | Y 0 | Y 1 | Y 2 | Probability | 0.25 | 0.50 | 0.25 | (b) Cumulative probability distribution function for Y Outcome (number of heads) | Y 0 | 0 Y 1 | 1 Y 2 | Y 2 | Probability | 0 | 0.25 | 0.75 | 1.0 | (c) . Using Key Concept 2.3: and so that 2.3. For the two new random variables and we have:
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For Students Solutions to Odd-Numbered End-of-Chapter Exercises * Chapter 2 Review of Probability 2.1. (a) Probability distribution function for Y Outcome (number of heads) | Y 0 | Y 1 | Y 2 | Probability | 0.25 | 0.50 | 0.25 | (b) Cumulative probability distribution function for Y Outcome (number of heads) | Y 0 | 0 Y 1 | 1 Y 2 | Y 2 | Probability | 0 | 0.25 | 0.75 | 1.0 | (c) . Using Key Concept 2.3: and so that 2.3. For the two new random
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Please either complete section below or affix Barcode Label here: NB: This label shows Course Code; Course Name and assessment item number. Course Code: IBA134 Course Name: Business Statistics Due Date: 11 / 08 / 13 Assessment Item #: 2 Enrolment: External On Campus Campus (enrolled): Course Tutor: Ms Lucille Wong Course Convenor: Professor E Selva Selvanathan ASSESSMENT COVER SHEET DATE RECEIVED Postmark: / / Please provide your STUDENT
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business decisions. Students learn important criterion for developing effective research questions, including the creation of appropriate sampling populations and instruments. Other topics include descriptive statistics, probability concepts, confidence intervals, sampling designs, data collection, and data analysis – including parametric and nonparametric tests of hypothesis and regression analysis. Cooper, D.R., & Schindler, P.S. (2006). Business research methods (9th ed.). Boston, MA: McGraw-Hill/Irwin
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1.1) Definition of 'Mode' A statistical term that refers to the most frequently occurring number found in a set of numbers. The mode is found by collecting and organizing the data in order to count the frequency of each result. The result with the highest occurrences is the mode of the set. Other related terms include the mean, or the average of a set; and the median, or the middle value in a set. Investopedia Says Investopedia explains 'Mode' For example, in the following list of numbers, 16 is
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PROBABILITY (module 4 & 5) Probability for a discrete variable Probability for a discrete variable=chance of the discrete variable taking on a particular value, expressed as a percentage These can be estimated by experiments or observations, called empirical probability. Explained in excel Probability Distribution: A Tabulated view of the uncertain behavior of a discrete random variable Cumulative Distribution: Another Tabulated view of the uncertain behavior of a discrete random variable
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focus on process improvement. Students learn criteria for developing effective research questions, including the creation of appropriate sampling populations and instruments. Other topics include descriptive statistics, probability concepts, confidence intervals, sampling designs, data collection, and data analysis—including parametric and nonparametric tests of hypothesis and regression analysis. Policies Students/learners will be held responsible for understanding and adhering to all policies
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