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picture1_Descriptive Statistics Ppt 69105 | Lecture 2 Core Statistics 101 Mean Median Mode Distribution


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File: Descriptive Statistics Ppt 69105 | Lecture 2 Core Statistics 101 Mean Median Mode Distribution
introduction what are statistics the practice or science of collecting and analysing numerical data in large quantities why do we need descriptive statistics when we look at large amounts of ...

icon picture PPTX Filetype Power Point PPTX | Posted on 29 Aug 2022 | 3 years ago
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                    Introduction
   
     What are statistics?
     “the practice or science of collecting and analysing 
      numerical data in large quantities”
   
     Why do we need descriptive statistics?
     When we look at large amounts of data, there is very 
      little “face value” information. If you had a dataset 
      listing the income of 10,000 people and someone 
      asked you if the income of the group was high or low 
      it would be difficult to answer that question without 
      using summary statistics (mean, median, mode etc.). 
                Types of Data
                       3
                 Data
         Categorical Numerical 
                Discrete  Continuous
                                            Types of Data
                                                                4
                                               Data
                        Categorical                       Numerical 
         Examples:
             Marital Status
             Political Party
             Eye Color
               (Defined categories)         Discrete                       Continuous
                                                 Examples:                                Examples:
                                                     Number of Children                      Weight
                                                     Defects per hour                        Voltage
                                                       (Counted items)                        (Measured characteristics)
                     Collecting Data
                                 5
       Primary Sources              Secondary Sources
       Data Collection              Data Compilation
                                      Print or Electronic 
     Observation           Survey
          Experimentation
                    Sampling
   
    What is a sample?
     A sample is “a small part or quantity intended to show 
      what the whole is like”
   
    Why do we use samples rather than the 
    population?
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...Introduction what are statistics the practice or science of collecting and analysing numerical data in large quantities why do we need descriptive when look at amounts there is very little face value information if you had a dataset listing income people someone asked group was high low it would be difficult to answer that question without using summary mean median mode etc types categorical discrete continuous examples marital status political party eye color defined categories number children weight defects per hour voltage counted items measured characteristics primary sources secondary collection compilation print electronic observation survey experimentation sampling sample small part quantity intended show whole like use samples rather than population...

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