“every moment dies a man‚ and 11/16 is born‚ and according to the rate of death and birth rate‚ we can predict the total population in several years. Statistic can also be used in people’s daily life. The height of the women has a approx. normal distribution so we can predict the range of women’s height of a country. We can also find out the median and mean of the women’s height. Because we have statistic‚ people found out that smoking rate reflects the rate of cancer -- people have smoking hobbit
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nominal‚ ordinal‚ interval‚ and ratio • Create grouped frequency distributions • Compute measures of central tendency and variation and use them to analyze data • Calculate and interpret the correlation coefficient and equation of the least-squares regression line for bivariate data and use the results to make predictions. • Solve probabilities • Compute binomial distributions • Use the normal distribution to interpret z scores and compute probabilities • Estimate a
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monthly demand for this product has a normal distribution with a mean of 100 and a standard deviation of 30. The store adopts a continuous review policy in which the order quantity equals the average demand for one month and the reorder point equals 43 boxes. The lead time for an order is one week‚ where each month contains exactly four weeks. a. What is the cycle service level for this product? (see appendix for the look-up tables of a standard normal distribution) b. What is the fill rate for this
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Dani Socher Statistics Project Mr. Seufer 1/15/2013 Shooting Guards and Field Goal Percentage In the NBA‚ games are won by shooting the ball well‚ which makes sense. The more times your team’s players get the ball in the hoop‚ the more points are scored. And the more points scored‚ the more games won. Obviously‚ it is a little more complicated than that in reality‚ given how important defense is. But field goal percentage should be a solid indicator of games won. Field goal percentage is as
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parametric Assumes data comes from a type of probability distributions ( they are not distribution-free) Distribution free methods which do not rely on assumptions that the data are drawn from a given probability distribution Makes inferences about the parameters of the distribution Non parametric statistics can refer to a statistic( a function on a sample) whose interpretation does not depend on the population fitting any parameterized distributions. Makes more assumptions Makes fewer assumptions
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DSC 2008 Business Analytics—Data and Decisions Tutorial 1 This first tutorial is longer than usual‚ because it covers 2 weeks of lecture. Since there are frequently no definitive answers to some parts of tutorial questions‚ please only take these files as containing suggested solutions. Some of you might well have different and better insights. In particular‚ your tutor may have different approaches to some questions. Just as not all decisions in real life are correct‚ not all analytics have
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1) Write the following as an algebraic expression using x as the variable: Twelve less than six times a number A. 6x – 12 [(Six times a number means 6x‚ and twelve less mean -12)] B. –6x C. –12(6x) D. 12 – 6x 2) Write the following as an algebraic expression using x as the variable: The sum of a number and -8 A. -8 + x [(let x be the variable number‚ therefore sum of variable (x) and (-8) would be x-8 or -8 + x)] B. -8 - x C. x(-8) D. -8x 3) Write the following as
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M2 Group Assignment Instructions Complete the Assignment‚ name it as GroupXX_Assign2.xls (where XX is your Group Name)‚ and upload and submit to the instructor through Dropbox. Do not enter anything in the spreadsheet cells that are black‚ labeled “Grader”. You must complete this assignment without the assistance of persons other than the members of your Group. You may use any other resources you deem necessary. Answer the questions below by placing the appropriate graph and/or answers in the designated
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ECON2206 Revision Notes W2 – SIMPLE REGRESSION MODEL MOTIVATION Much of applied econometric analysis are interested in “explaining y in terms of x” and confront three issues: 1) Since there is never an exact relationship between y and x‚ how do we account for the “other unobserved” variables? 2) What
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How many upgraded personal computers would you expect if 60 personal computers are selected at random and what is the standard deviation? (4 marks) ii) b) Suppose that the number of flaws in sheets of anodized steel follows a Poisson distribution with an average of two flaws in a 20 square meter area. i) What is the probability that there will be less than one flaw in a ten square meter area? What is the probability that there will be at least five flaws in a sheet of anodized steel measured
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