statistics 1

• What is the term used for data that is first collected?

  Raw data
• What type of data is defined as any numerical measurement?

  Quantitative Data
• What type of data includes non-numerical information such as eye color?

  Qualitative Data
• What are examples of quantitative and qualitative data?

  Quantitative Data:

  • Weight
  • Number of hours spent revising
  • Speed

  
  

  Qualitative Data:

  • Brand of cereal
  • Hair color
• What must be true about class intervals when grouping continuous data?

  They must not have gaps or overlap each other.
• How can rounding affect the grouping of continuous data?

  It can cause inaccuracies in class intervals.
• What is the term for data collected for oneself?

  Primary data
• What is the term for data collected from an already existing source?

  Secondary data
• What are the advantages and disadvantages of primary data?

  Advantages:

  • Known collection method and accuracy
  • Specific answers to questions

  
  

  Disadvantages:

  • Expensive
  • Time-consuming
• What are the advantages and disadvantages of secondary data?

  Advantages:

  • Cheap and easy to obtain
  • Reliable from reputable sources

  
  

  Disadvantages:

  • Unknown collection method
  • Potential mistakes or unreliability
• Why is the data from the ONS considered reliable?

  It is from a reliable source and relatively up to date.
• what are the two quantitative data that can be split up further?


  continuous data/discrete data
• what are the other different types of data?

  categorical data, ordinal data, bivariate data, multibivarite data
• what is categorical data?


  can be sorted into categories that do not overlap
• what is ordinal data? 


  can be written in order or as a numerical scale
• what is bivariate data? 


  bivariate data involves pairs of related data
• what is multivariate data? 


  involves more than two sets of related data
• what is an example of categorical data? 


  color of bottles/download speed
• what is an example of ordinal data? 


  shoe size/ number of siblings
• what is an example of bivariate data? 


  height/weight
• what is an example of multivariate data? 


  weight/height/shoe size
• what are the benefits of grouping data? 


  it can help us spot patterns and how the data was distributed
• what is discrete data grouped in? 


  classes that do not overlap (class intervals)
• what do class intervals look like? 


  0-9, 10 - 19, 20 - 29, 30 - 39
• can class intervals be different sizes? 


  yes
• do we use narrow intervals when most of the data is closer together? 


  yes
• do we use wider intervals when the data is more spread out? 


  yes