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statistically significant consulting: Statistics & Political Marketing:

statistically significant consulting: Statistics & Political Marketing:: statistical graph Political Marketing : A lot of interested people Confuses between election marketing and political marketing and in...
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  • The Importance of Normal distribution :
      1- Normal distribution is very useful because: • Many things actually are normally distributed , or very close to it. For example, h...
  • What are the Components of A Distribution?
      1- Measures of Central Tendency Let's Suppose that  we have a sa mp l e with 4 observations: 4, 1, 4, 3   Mean Is the sum of a se...
  • What is a Normal Distribution?
      We can say ”Normal distribution is a continuous distribution that is “bell-shaped”. Data are often assumed to be normal. Normal distribut...
  • Statistics & Political Marketing:
    statistical graph Political Marketing : A lot of interested people Confuses between election marketing and political marketing and in...
  • Most important Characteristics of the Normal distribution :
    Actually we can say that Normal distribution is the most widely known and used of all distributions. Bec au se the normal distribution app...
  • What is the Best Way to Show Graphically How Data Are Distributed??????
      1. Stem-and-Leaf Plots: Are useful for showing gaps, clusters, and outliers in distributions.  2. Bar graphs Here  we use bars to com...
  • Reading data :
      Data can be entered directly, or it can be imp orted from a number of different sources.Computer programs often need to read data that ...
  • What is Statistics?
      Actually,  The field of statistics is concerned with the collection, description, and interpretation of data.So (data are numbers obtaine...
  • Binomial Distribution :
      Binomial distribution gives us the probabilities of interests are those of receiving a certain number of success r in n independe...
  • nonparametric statistics
      Nonpa ram etric sta tis tics or distribution-free tests are those that do not rely on parameter estimates or precise assumptions about ...

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