Business Research Methods Quantitative Methods Statistics Table of contents encode 1: Descriptive statistics and data patterns3 motion 1A)3 system of weights3 EDU4 WAGE5 FOODEXP6 mould 1B)7 bear along 1C)8 WEIGHT8 WAGE9 FOODEXP9 exploit 1D)10 solve 1E)12 arrange 1F)13 influence 1G)13 come 2: Markowitz Portfolio selection ((constrained) optimization), expectation, variance, covariance and the formulas knead 2A)14 expected value14 Variance14 Covariance (X,Y)14 Standard deviation15 Coefficient of correlation15 elaborate 2B)15 medical prognosis15 Variance15 Exercise 2C)16 Exercise 2D)17 Exercise 2E)18 Exercise 2F)18 Exercise 3: Normal statistical distribution19 Exercise 3A)19 Exercise 3B)20 Exercise 3C)20 Exercise 4: Simple linear regression21 Exercise 4A)21 Exercise 4B)23 Exercise 4C) 23 Exercise 4D)24 Exercise 4E)24 Exercise 4F)24 Bibliography25 Exercise 1: Descriptive statistics and data patterns For this exercise family02.xls was used. A) Present the frequence distribution of each of the variables WEIGHT, EDU, WAGE and FOODEXP in an appropriate vivid way.

WEIGHT To present the frequency of the quantitative variable WEIGHT, bins of 5kg have been created with Statplus for mackintosh using statistics-basic statistics and tables-histogram and are shown in a bar graph. With cardinal observations, it is custom to have 9-10 classes (Gerard Keller, 2011), but in this case the chosen intervals are 5kg because of the distribution. Frequency distribution of WEIGHT| WEIGHT| stakes| Cumulative Count| 0 | 0| 0| 0 to 5| 0| 0| 5 to 10| 0| 0| 1! 0 to 15| 0| 0| 15 to 20| 0| 0| 20 to 25| 0| 0| 25 to 30| 0| 0| 30 to 35| 0| 0| 35 to 40| 0| 0| 40 to 45| 0| 0| 45 to 50| 3| 3| 50 to 55| 10| 13| 55 to 60| 13| 26| 60 to 65| 33| 59| 65 to 70| 40| 99| 70 to 75| 50| 149| 75 to 80| 52| 201|...If you want to get a full essay, swan it on our website:
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