NORMAL DISTRIBUTION 1. Find the distribution: a. b. c. d. e. f. following probabilities‚ the random variable Z has standard normal P (0< Z < 1.43) P (0.11 < Z < 1.98) P (-0.39 < Z < 1.22) P (Z < 0.92) P (Z > -1.78) P (Z < -2.08) 2. Determine the areas under the standard normal curve between –z and +z: ♦ z = 0.5 ♦ z = 2.0 Find the two values of z in standard normal distribution so that: P(-z < Z < +z) = 0.84 3. At a university‚ the average height of 500 students of a course is 1.70 m; the standard
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Introduction. The ’Stroop Effect ’ was first introduced in 1935. It originated from the theory of automatic processes. It is clear that some processing activities become automatic as a result of prolonged practice eg. Typing‚ driving‚ etc. Automatic processes therefore are fast‚ require no attention and are unavoidable. Stroop believed that there was some evidence that word identification may be a form of an automatic process. In the experiment participants had to name the colours in which the
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standard deviation = square root of variance = sqrt(846) = 29.086 4. If we have the following data 34‚ 38‚ 22‚ 21‚ 29‚ 37‚ 40‚ 41‚ 22‚ 20‚ 49‚ 47‚ 20‚ 31‚ 34‚ 66 Draw a stem and leaf. Discuss the shape of the distribution. Solution: 2 3 4 5 6 | | | | | 219200 48714 0197 6 This distribution is right skewed (positively skewed) because the “tail” extends to the right. 5. What type of relationship is shown by this scatter plot? 45 40 35 30 25 20 15 10 5 0 0 5 10 15 20 Solution: Weak positive linear
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A P P E N D I X E S Tables and Data Sets A Areas under the Normal Curve B Student’s t Distribution C Data Set 1 — Real Estate D Data Set 2 — Major League Baseball E Data Set 3 — OECD F Data Set 4 — Northwest Ohio School Districts G Critical Values of the F Distribution H Critical Values of Chi-Square I Binomial Probability Distribution J Factors for Control Charts K Poisson Distribution L Table of Random Numbers M Wilcoxon T Values N Banking Data Set — Case 262 Appendixes Appendix A Areas
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EXPERIEMENT# 7 CONSUMER PREFERENCE TEST Objectives: * To know the principles of consumer preference tests * To cite the uses of consumer preference tests * To conduct properly paired preference and preference ranking tests * To analyze sensory data from preference tests PAIREDPREFERENCE TEST Materials: Marshmallow – white (2 brands) Saucers Cups Distilled water Method: A. Sample Preparation and Presentation 1. Prepare the Master Sheet. a. Assign random
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Probability distribution Definition with example: The total set of all the probabilities of a random variable to attain all the possible values. Let me give an example. We toss a coin 3 times and try to find what the probability of obtaining head is? Here the event of getting head is known as the random variable. Now what are the possible values of the random variable‚ i.e. what is the possible number of times that head might occur? It is 0 (head never occurs)‚ 1 (head occurs once out of 2 tosses)
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Distribution Dossier Samsung Electronics India Limited Sales and Distribution Project By: Rohit Agrawal TABLE OF CONTENTS CONSUMER ELECTRONICS MARKET IN INDIA 4 LEADING COMPANIES 5 LG Electronics Inc. 5 Videocon Industries Ltd 5 Samsung India Electronics Private Limited 5 SAMSUNG ’S DISTRIBUTION CHANNEL 7 Role and key deliverables of channel members 7 Consumer Electronics Distribution 8 CHANNEL MEMBER MANAGEMENT 9 Monetary methods 9 Non monetary methods 9 Target setting mechanism
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Frequency Distribution (A) Introduction 1. Ungrouped data versus grouped data Ungrouped data (Raw data): It is a list of individual observed values of the random variable Grouped data (a frequency distribution): It is a table that displays the data in grouping along with the number of occurrences that fall into each group. 2. The components of a frequency distribution a. Class limits: They identify the inclusive values in a class of a frequency distribution The
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Special Probability Distributions Chapter 8 Ibrahim Bohari bibrahim@preuni.unimas.my LOGO Binomial Distribution Binomial Distribution In an experiment of n independent trials‚ where p is a the probability of a successful outcome q=1-p is the probability that the outcome is a failure If X is a random variable denoting the number of successful outcome‚ the probability function of X is given P X r nCr p r q nr Where q=1-p r=0‚1‚2‚3‚….. X~B(n‚p) The n trials
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Research on Pharmaceutical Channel Distribution 2013 Medhad Nasser Chowdhury 082735530 4/30/2013 MKT 450.1 Faculty Members: Shahed Hussain The New Era A journey through the pharmaceutical channel system in Bangladesh Abstract The aim of the study is to analyze the changes that took place in Bangladesh Pharmaceutical Industries Channel system in the past decade. The current scenario of the pharmaceutical Industry in Bangladesh and external effects that might bring in
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