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# Statistics Test 2

### test 2 stats class

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

Measure of Center | Value at the senter or middle of a data set. |

Arithmetic mean/ Mean | A set of data is the measure of center found by adding the data values and dividing the total by the number of data values |

Sample size | Number of data values |

Median | The measure of center that is the middle value when the originaldata values are arranged in order of increasing (or decreasing) magnitude |

Mode | the value that occurs with the greatest frequency |

Bimodal | When 2 data values occur with the same greatest frequency, each one is a mode |

Multimodal | When more than 2 data values occur with the same greatest frequency, each is a mode |

No Mode | When no data value is repeated |

Midrange | The measure of center that is the value mid-way between the maximum and minimum values in the original data set |

Skewed | If it is not symmetric and extends more to one side than the other |

Range | The differencde between the maximum data values and the minimum data values. Range=Max-min data values |

Standard Deviation | Measure of variation of values about the mean |

Variance | Measure of variatioan equal to the square of the standard deviation |

Range Rule of Thumb | Based on the principle that for any data sets, the vast majority of sample data values lie within 2 standard deviations of the mean |

Empirical Rule | Data sets that are approxiamently bell shaped these properties apply. 68% fall with in 1 standard deviation. 95% fall within 2 standard deviations. 99.7% fall within 3 standard deviations |

Coefficient of Variation(or CV) | A set of nonnegative sample or population data, expressed as a percent, describes the standard deviation relative to the mean |

Z Score | Number of standard deviations that a given value x is above or below the mean. Round to 2 decimal places (9.08) |

Percentiles | Measures of location, which divide a set of data into 100 groups with about 1% of the values in each group |

Quatiles | Measures of location, which divide a set of data into 4 groups with about 25% of the values in each group |

Coefficient of Variation(or CV) | A set of nonnegative sample or population data, expressed as a percent, describes the standard deviation relative to the mean |

Z Score | Number of standard deviations that a given value x is above or below the mean. Round to 2 decimal places (9.08) |

Coefficient of Variation(or CV) | A set of nonnegative sample or population data, expressed as a percent, describes the standard deviation relative to the mean |

Z Score | Number of standard deviations that a given value x is above or below the mean. Round to 2 decimal places (9.08) |

Percentiles | Measures of location, which divide a set of data into 100 groups with about 1% of the values in each group |

Boxplot | Graph of a data set that consist of a line extending from the min to max value, and a box with lines drawn at Q1, the median, and Q3 |

Quatiles | Measures of location, which divide a set of data into 4 groups with about 25% of the values in each group |

5-number Summary | Consist of the minimum value, the first quartile, the median(Q2), Q3, and the maximum value |

Boxplot | Graph of a data set that consist of a line extending from the min to max value, and a box with lines drawn at Q1, the median, and Q3 |

Event | Any collection of results or outcomes of a procedure |

Simple Event | Outcome or an event that cannot be further broken down into simpler components |

Sample Space | Consist of all possible simple events |

Complement | Event A, consist of all outcomes in which event A does not occur |

Actual Odds Against | A and B are integers having no common factors. A:B |

Actual odds in favor | B:A |

Payoff Odds | The ratio of the net profit to the amount bet |

Compound Event | Any event combining 2 or more simple events |

Disjoint | If they cannot occur at the same time |

Independant | Occurance of one event does not affect the other event |

Dependant | One event affects the other |

Random Variable | Variable that has a single numerical value, determined by chance, for each outcome of a Drocedure |

Probability Distribution | Description that gives the probability for each value of the random variable |

Discrete Random Variable | Finite number of values or a countable number of values |

Continuous Random Variable | Infinitely many values, and those values can be associated with measurements on a continuous scale witout gaps or interruptions |

Expected Value | Represents the mean of the outcomes |

Created by:
barrelracer0218