probability distribution A) is a listing of all possible values of a random variable. B) is a listing of all possible values of a random variable‚ along with their probabilities. C) can assume values between -1 and +1. D) has none of the above properties. 5. For a continuous random variable‚ the total area beneath the probability distribution curve will be greater than 0 but less than 1. A) True False 6. The standardized normal distribution always has
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It contains practice questions‚ which are related to each week’s objectives. In addition‚ refer to each week’s readings and your student guide as study references for the Final Examination. Week One: Descriptive Statistics and Probability Distributions Objective: Compute descriptive statistics for given data sets. 1. In 1995‚ the cost of unleaded gasoline was $0.95 per gallon. In 2010‚ the same type of gasoline costs $3.00 per gallon. To determine the amount of change‚ we have to use the
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0.025‚P (x2n-1 < 39.36) = 0.975 Chapter 09 Hypothesis Chi-squared distribution For a large sample size the sampling distribution of chi square can be closely approximated by a continuous curve known as the chi-squared distribution. If we can assume that a population distribution is normal‚ then it can be
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------------------------------------------------- Top of Form Bottom of Form Wallace State Community College Business Statistics I BUS 271‚ 3 Credit Hours Spring Semester 2013 Step One: Read the syllabus carefully. Step Two: E-mail your instructor‚ in Blackboard through the email/message area; this will be a tab on left side of your homepage in blackboard. Select create message. Browse for recipient‚ Terri McGriff-Waldrop‚ select and fill in the subject line with the topic title‚ Syllabus
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Q.5 Solution Bill Denomination (X) Number of Bills (f) X*f X2*f $1 520 520 520 $5 260 1‚300 6500 $10 120 1‚200 12000 $20 70 1‚400 28000 $50 29 1‚450 72500 $100 1 100 10000 Total 1000 5‚970 129520 a. b. c. The probability that a bar containing $50 or $100 bill is purchased is 30 / 1000 = 0.03 Hence customer have to buy 100 bars of soap‚ so that he or she has purchased three bars containing a $50 or $100 bill. d. Given n=1000‚ E(X) = 5.97‚ SD(x) = 9.68912
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[pic] School of Business Course Design Guide RES/341 Version 6 Research and Evaluation I Copyright Copyright © 2010‚ 2009‚ 2007‚ 2006‚ 2005‚ 2004 by University of Phoenix. All rights reserved. University of Phoenix® is a registered trademark of Apollo Group‚ Inc. in the United States and/or other countries. Microsoft®‚ Windows®‚ and Windows NT®
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1 PYC3704 EXAM PACK Worked and compiled by Lindokuhle M. Ubisi For And on behalf of Only for UNISA students doing the module Psychology Research (PYC 3704) © March 2014 2 Psychology Research (PYC 3704) Feedback on previous examination papers (2011 – 2013) Question 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 PYC 3704 - May/June 2011 – Previous examination paper Correct answers and explanations Option 1 is the most correct (pg 4). Proposed (tentative)‚ variables
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standard deviation of 0.02 centimeter. All components deviating by more than 0.05 centimeter from the mean must be rejected. What percentage of parts must be rejected? Assume a normal distribution. 3. Assume that the number of cases sold per week in December by a large group of beverage salesmen is quite close to normal distribution with a mean of 684 and a standard deviation of 60. a. Given that the top 16% of the salesmen receive bonuses‚ how many cases must a salesman sell in order to receive bonus
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Normal Distribution with Excel - Applications & Examples In my last post I discussed how to use the normal distribution function already added in MS Excel. In this post I will continue with the examples and we will how we use them. In this post i will not discuss the manual solution of the problem but only the Excel Based solution. The following problems are taken from Introduction to Statistics By Walpole‚ 13th Edition Chapter 07‚ Page 197-200. I wil elaborate how you can use excel formula
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From this case‚ there are two types of errors‚ which the consortium can make. A Type I Error is referred to as a “false positive.” A Type I error would be made when the null hypothesis is rejected when it should be accepted. This error may occur if the consortium defends any lawsuit against them if they are using 6% (6/100) as their surveying result. The results of the sample size of 100 people indicate that the percentage range is from 1.35% to 10.65%. The test results can be higher than 10%‚ but
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