# Biostatistics & Epidemiology Lect. 1 Part 1

rename
alchemist04's
version from
2016-08-15 21:24

## Section

Question | Answer |
---|---|

What is Biostatistics? (1) | (1) Numerical descriptions of events or phenomena |

What is Biostatistics? (2) | (2) A set of mathematical tools to quantitatively assess clinical and laboratory experiences |

What is Biostatistics? (3) | (3) Contemporary biostatistical analysis uses a smaller, representative group to make inferences about a larger group. |

What is Biostatistics? (4) | (4) Sample used to infer about the larger population |

Question | Answer |
---|---|

Why study Statistics? (1) | (1) Making sense of numerical information |

Why study Statistics? (2) | (2) Dealing with uncertainty |

Why study Statistics? (3) | (3) Sampling instead of direct count entire population. |

Why study Statistics? (4) | (4) Association and relationships |

Why study Statistics? (5) | (5) Forecasting and prediction |

Why study Statistics? (6) | (6) Decison-making in and uncertain environment |

Question | Answer |
---|---|

Why is biostatistical analysis important? (1) | (1) Medical literature uses biostatistics regularly. |

Why is biostatistical analysis important? (2) | (2) Choosing a statistical test depends on duty design and the scale of measurement of the variables |

Why is biostatistical analysis important? (3) | (3) Data may be analyzed using more than one statistical test |

Why is biostatistical analysis important? (4) | (4) As a clinician, you need to be able to evaluate appropriateness of statistical methods used in literature |

Question | Answer |
---|---|

T or F? Statistics help to interprete and evaluate the use of statistical analysis and methodology to be able to read the medical and pharmaceutical literature appropriately | True |

T or F? Data may be analyzed using more than one statistical test and may lead to manipulation of data to enhance results | True |

T or F? Data may be analyzed using more than one statistical test and may produce unreliable results | True |

T or F? Correlation is when there is a real cause-effects relationship in statistical or data analysis | False, Correlation means there is no direct of an event and result |

When statistics or numbers indicates something is highly related to another, and does not necessarily mean one cause the other to happen, this is an example of ------- ? | Correlation |

Question | Answer |
---|---|

Population Parameter N | Population size |

Population Parameter u | Population mean |

Population Parameter o | Population Standard Deviation |

Population Parameter p | Population Correlation |

Question | Answer |
---|---|

Sample Statistics n | Sample size |

Sample Statistics m | Mean |

Sample Statistics s | Standard Deviation |

Sample Statistics r | Correletion |

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