الدرس 1 Ch:- 5…… Probability P=The number of Possible cassesTotal number of casses ============================== EX1:- BLUE=12 RED=3 GREEN=5 What is the Probability:- P(B) OR P(R) P(B) OR P(G) P(B) OR P(R) OR P(G) SOLVE:- P=PB+ PR P= 1220+ 320= 1520 P=PB+ P(G) P=1220+ 520= 1720 P=PB+ PR+ P(G) P= 1220+ 320+520 = 2020=1 بأختصار (( الاحتمالات )) بيعطيك بالسؤال الاحتمالات المطلوبه فقط ضع الاحتمال المطلوب في البسط ومجموع الأحتمالات في المقام
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affected by the sample size. Students are expected to acquire the mean (average) of a normal population with a population variance of 1 and a confidence interval of 95%. In this task, we will see the relationship between sample size and width in detail by plotting graphs. We will also explore on the accuracy of an interval and how it can be increased or decreased by varying the value of the width. Variance, σ^2 = 1 Standard deviation, σ = 1 Confidence Interval: 95% From the formula to obtain width, The
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Hypothesis Testing Question for self-study: 1. Mary Arnold wants to use the results of a random sample market survey to seek strong evidence that her brand of breakfast cereal has a least 20% of the total market. Formulate the null and alternative hypothesis, using P as the population proportion. 2. The Federal Reserve Board is meeting to decide if it should reduce interest rates in order to stimulate economic growths. State the null and alternative hypothesis regarding economic
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Outliers do not effect it o Better value to represent skwed data • Mode – most frequent o Distribution with 2 peaks is a bimodal distribution Standard Deviation • Common measure for describing how much variability there is in a set of data. o The standard deviation measures how much a data set varies from its mean. o Large standard deviation indicates that the data are widely dispersed. o Smaller standard deviation tells us that the data points are more tightly clustered together. o Calculating
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what a distribution is and why examining a distribution can be helpful/useful Know how to interpret information from: Simple frequency distributions (grouped & ungrouped*) Relative frequency distributions (proportions* & percents*) Cumulative frequency distributions* Histograms Bar graphs* Stem-and-leaf displays You also should know how to construct those with an * beside them Know the definition of percentile rank Be able to identify and/or describe different shapes of distributions: Normal, symmetrical
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Risk and Return “Believe me! The secret of reaping the greatest fruitfulness and the greatest enjoyment from life is to live dangerously!” —Friedrich Wilhelm Nietzsche Are You the “Go-for-It” Type? The financial crisis has people buzzing about “systematic risk.” This term means different things in different contexts. Traditionally, systematic risk has referred to the non-diversifiable risk that comes from the impact the overall market has on individual investments. This risk is also known
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d1+ d2 L = 40 I = 60-40 =20 d1 = 30-18 =12 d2= 30-20 = 10 Therefore Mo = 40 + 20 [ 12 ]/12+10 = 40+ 20 (12/22) = 40 +20 x 0.5454 Mode = 50.90 (f) Value of standard deviation Percentage Achieved | No of students (f) | x | x2 | fx2 | 0 >20 | 5 | 10 | 100 | 500 | 20 > 40 | 18 | 30 | 900 | 16,200 | 40 > 60 |
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statistics will be the focus of the course with an abbreviated introduction to inferentialstatistics. Topics include the foundations of statistical methods of sampling, classifying, analyzing, and presenting numerical data; frequency and sampling distributions, averages, dispersion, hypothesis testing, and analyzing up to two populations and population proportions. The course will employ the use of an online statistics learning system for problem assignments, in conjunction with the text and lectures
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are normally distributed under certain conditions. Therefore, a normality test was performed to: Test if demand is well-modeled by a normal distribution or not. Find out descriptive statistics about the demand distribution such as mean, standard deviation and P-value. Test result revealed that the demand is normally distributed with: Mean = 0.664 Standard Deviation = 0.776 P-Value < 0.005 Below are graphical presentations for test results. USED FORMULAS AND ABBREVIATIONS
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GNU Scientific Library Reference Manual Edition 1.14, for GSL Version 1.14 4 March 2010 Mark Galassi Los Alamos National Laboratory Jim Davies Department of Computer Science, Georgia Institute of Technology James Theiler Astrophysics and Radiation Measurements Group, Los Alamos National Laboratory Brian Gough Network Theory Limited Gerard Jungman Theoretical Astrophysics Group, Los Alamos National Laboratory Patrick Alken Department of Physics, University of Colorado at Boulder
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