# STATS SHET

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2017-03-08 09:17

## Section 1

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

continuous random variable | has an infinite number of possible values that can be represented by an interval on the number line. |

continuous probability distribution or probability density function. | The probability distribution of a continuous random variable is called |

normal distribution. | The most important probability distribution in statistics is the |

normal curve | The graph of a normal distribution is called the |

(1) Mean, median mode are equal, (2) Bell shaped, (3) Total are is equal to 1, (4) normal curve approaches, but never touches | 5 Properties of a Normal Distribution |

inflection points | The points at which the curve changes from curving upward to curving downward are called |

normal distribution | can have any mean and any positive standard deviation. |

standard normal distribution | is a normal distribution with a mean of 0 and a standard deviation of 1. |

(1) The cumulative area is close to 0 for z-scores close to z = 3.49, (2) The cumulative area increases as the z-scores increase, (3) The cumulative area for z = 0 is 0.5000, (4) The cumulative area is close to 1 for z-scores close to z = 3.49 | 4 Properties of the Standard Normal Distribution |

sampling distribution | is the probability distribution of a sample statistic that is formed when samples of size n are repeatedly taken from a population. |

sampling distribution of sample means. | If the sample statistic is the sample mean, then the distribution is the |

## Section 2

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

Parameter | A descriptive measure of the population |

Statistic | A descriptive measure of a sample |

Point Estimate | A single value estimate for a population parameter |

Point Estimate | Most unbiased point estimate of the population mean μ is the sample mean |

Interval Estimate | An interval, or range of values, used to estimate a population parameter. |

Level of confidence | The probability that the interval estimate contains the population parameter. |

Sampling error | The difference between the point estimate and the actual population parameter value. |

Margin of Error | The greatest possible distance between the point estimate and the value of the parameter it is estimating for a given level of confidence, c. |

maximum error of estimate or error tolerance. | Sometimes, Margin of Error is called |

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