Math quarter 4

• Statistics is a branch of mathematics that deals with the collection, organization, and analysis of data.
• Population- is a collection of all elements to be studied
• Census- is a collection of data from every element in a population
• Random sample- each member of the population has an equal chance of being selected
• Convenience sample- is a sample that is chosen so that it will be easy for the researcher
• Stratified random sample- the population is divided into subgroups so that each population member is in one subgroup. In here, individuals are chosen randomly from each subgroup
• Cluster sample- is a sample that consist of items in a group such as neighborhood or a house hold. The group may be chosen at random
• Systematic sample- is obtained using an ordered list of population, thus selecting members systematically from the list
• Qualitative data


  Data that can be separated into different categories distinguished by some non-numeric characteristics
• Quantitative data


  Data consisting of numbers representing counts or measurements, can be either discrete or continuous
• Types of quantitative data

  • Discrete data
  • Continuous data
• Qualitative data


  Data that can be separated into different categories that are distinguished by some nonnumeric characteristics
• Types of quantitative data


  • Discrete data
  • Continuous data
• Qualitative data- can be seperated into different categories that are distinguised by some nonumeric characteristics
• Quantitative data- consist of numbers representing counts or measurement. it can either be discrete or continous
• Discrete data- result from either a finite number of posibilities/possible values or vountable number of possible values as 0,1,2,3 and so on
• Continous data- result from infinitely many possible values that can associated with points on a continous scale in such a way that there are no gaps or interruptions
• Nominal level of measurement


  Characterized by data that consist of names, labels, or categories only
• Ordinal level of measurement


  Involves data that may be arranged in some order but differences between data values either cannot be determined or are meaningless
• Interval level of measurement


  Like the ordinal level, but meaningful amounts of differences between data can be determined
• Ratio level of measurement


  The interval level modified to include the inherent zero starting point