Embed Code - If you would like this activity on your web page, copy the script below and paste it into your web page.

Normal Size Small Size show me how

Normal Size Small Size show me how

# Chapter 1

### Introduction To Statistics

Term | Definition |
---|---|

There Are 2 Types of Data | 1. Quantitative Data.. 2. Qualitative Data |

Quantitative Data | These are numbers |

Qualitative Data | These are categories. Not numbers |

There Are 2 Types of Quantitative Data | 1. Discrete Data.. 2. Continuous Data |

Discrete Data | Whole numbers. Ex: The # people on the bus |

Continuous Data | These are decimals. If data could be a decimal, it is continuous. Ex: Weight of a whale in pounds |

Population | Every individual of interest. Doesn't have to be people |

Parameter | A number that describes some aspect of the population. Computed from population |

Sample | Subgroup of population |

Statistic | A number that describes some aspect of the sample |

Levels of Measurement(4 levels) | 1. Nominal.. 2. Ordinal.. 3. Interval.. 4. Ratio |

Nominal | Categories, cannot be ordered, most basic level. Ex: brand of shoe |

Ordinal | Categories, can be ordered, cannot do math operation with. Ex: quality rating of a Choco bar(bad, okay, good) |

Interval | Numbers, no true zero. Ex: temperature, time of arrival |

Ratio | Number, there is a true zero. Ex: # people who believe in aliens, cost of a Big mac, time it takes to eat a hotdog |

Sampling Techniques | 1. Random Sample.. 2. Simple Random Sample.. 3. Cluster Sample.. 4. Stratified Sample.. 5. Systematic Sampling.. 6. Convenience Sample |

Random Sample | Every individual from a population has equal chance of being selected |

Simple Random Sample | Every possible group of individuals has an equal change of being selected |

Cluster Sample | Divide population into groups, randomly select some of the GROUPS. Ex: There are 50 states and you randomly select 25 states(our sample is everyone in those 25 states) |

Stratified Sample | Divide population into groups, randomly select INDIVIDUALS from each group. Ex: Randomly select 10 people from each of the 50 states(our sample is 500 people) |

Systematic Sampling | Order the data, pick a starting point, select every 2nd, 3rd, 4th, etc. person. Ex: number names in phonebook then start with 3rd person then pick every 4th person(Sample is person 3, 7, 11, 15) |

Convenience Sampling | Uses data that is readily available. Don't want to get data this way usually. Ex: Theo surveys his best friends |

Created by:
TimStatistics