Statistics and Probabilities

Statistics and Probabilities

1. Branch of mathematics that gather, organize, present, analyze and interpret data

   • To organize data
     • There is a Stem and Leaf chart
   • There is a Stem and Leaf chart
   • Of two types
     • Descriptive
     • Referential
   • Contents in
     • Different types of tables
       • Table of frecuency
         • Thanks to these graphics are given
           • Different types of graphics
             • Barras
             • Lines
             • Lines
             • Circulars
             • Areas
             • Cartogramas
             • Mixed
         • Contains
           • Frequency relative
             • Number of repetitions of a value with respect to total
               • All have a value accumulated
                 • All this data collected is they represent like this
                   • With this you can already calculate other values
                     • Rank
                       • Difference between the value maximum and the minimum value of a set of data
                     • Rank means, medium
                       • Sum between the maximum value and the minimum data value, divided into 2
                     • Number of lessons
                       • Calculated thanks to the square root of total number of data
                       • Determine the number of intervals
                     • Amplitude
                       • The range is taken over the number of classes
           • Frecuencia
             • Number of repetitions of a value
           • Frequency percentage
             • Multiplying the relative frequency by 100
       • Determined thank you to
         • Creation of an organization of data with the appearance of factors such as
           • The measurements of central tendency
             • fashion
               • Most repeated value in all data
                 • Bimodal
                   • When they repeat two values
                 • Multimodal
                   • More than two data
             • Half
               • Sum of all the data
                 • Divide by the total of data
             • Median
               • It is located in the middle of the data
             • Brand class
               • Distribution of grouped frequencies
                 • Sum of intervals divided into two
     • Measures of position
       • Quartiles
         • Divide a set into 4 equal parts
           • Q1: 25% Q2: 50% Q3: 75%
       • Deciles
         • Divide the set into 10 equal parts
       • Percentiles
         • Divide the set into 100 equal parts
     • It also occurs
       • Deviation standard
         • Difference between data and the average
           • It is calculated with the square root of the variance
       • Variance
         • Average difference between each of the values ​​with regarding the average
           • their differences are squared, they add and divide by the difference
       • Coefficient of correlation
         • It will indicate how weaker the association is between both variables
       • Regression linear
         • It allows quantifying the relationship that can be observed when a diagram of scattered points
           • A: it is called the intercept
           • B: It is called pending

2. Concepts for your finish

   • Population, sample, data, statistical unit, frequency
     • Population
       • Sets of all numbers
     • Sample
       • It is a set of the population
     • Fact
       • Value of the variable
     • Frequency
       • Number of times a value is repeated

3. Contains

   • Probability
     • How possible is that an event occurs determined
       • To the analysis of the events governed by probability it statistical flame
         • HAS SPECIFIC ISSUES FOR YOUR DEVELOPMENT
           • Rules basic
             • Of the multiplication of odds
             • Of the addition
           • Probability conditional
             • It is calculated as the quotient between the joint probability and probability marginal event imposed with condition
           • Statistical independence
             • Two events A and B are statistically independent if the probability conditional of A given B is equal to its given conditional probability B C
           • hope
             • They refer to profit average expected by a player when he makes a large number of bets
           • Variance
             • It is the average of the differences with the average squared
           • TYPES DISTRIBUTION
             • BINOMIAL
               • It is a random experiment S and consider associated with the an event A of probability p and let A + be the event opposite, whose probability will be q = 1 - p.
             • Poisson
               • A random variable X follows a Poisson distribution if you can take integer values ​​0, 1, 2 ..., n ..., with odds
             • Normal
               • With three objectives
                 • Use the normal curve to model distributions
                 • Calculate probabilities using the normal curve
                 • Evaluate the normality of data sets by using probability graphs normal

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