test 2 stats class
Quiz yourself by thinking what should be in
each of the black spaces below before clicking
on it to display the answer.
Help!
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| Measure of Center | Value at the senter or middle of a data set.
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| 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
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| Sample size | Number of data values
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| Median | The measure of center that is the middle value when the originaldata values are arranged in order of increasing (or decreasing) magnitude
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| Mode | the value that occurs with the greatest frequency
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| Bimodal | When 2 data values occur with the same greatest frequency, each one is a mode
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| Multimodal | When more than 2 data values occur with the same greatest frequency, each is a mode
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| No Mode | When no data value is repeated
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| Midrange | The measure of center that is the value mid-way between the maximum and minimum values in the original data set
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| Skewed | If it is not symmetric and extends more to one side than the other
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| Range | The differencde between the maximum data values and the minimum data values. Range=Max-min data values
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| Standard Deviation | Measure of variation of values about the mean
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| Variance | Measure of variatioan equal to the square of the standard deviation
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| 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
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| 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
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| 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
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| Z Score | Number of standard deviations that a given value x is above or below the mean. Round to 2 decimal places (9.08)
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| Percentiles | Measures of location, which divide a set of data into 100 groups with about 1% of the values in each group
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| Quatiles | Measures of location, which divide a set of data into 4 groups with about 25% of the values in each group
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| 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
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| Z Score | Number of standard deviations that a given value x is above or below the mean. Round to 2 decimal places (9.08)
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| 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
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| Z Score | Number of standard deviations that a given value x is above or below the mean. Round to 2 decimal places (9.08)
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| Percentiles | Measures of location, which divide a set of data into 100 groups with about 1% of the values in each group
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| 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
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| Quatiles | Measures of location, which divide a set of data into 4 groups with about 25% of the values in each group
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| 5-number Summary | Consist of the minimum value, the first quartile, the median(Q2), Q3, and the maximum value
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| 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
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| Event | Any collection of results or outcomes of a procedure
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| Simple Event | Outcome or an event that cannot be further broken down into simpler components
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| Sample Space | Consist of all possible simple events
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| Complement | Event A, consist of all outcomes in which event A does not occur
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| Actual Odds Against | A and B are integers having no common factors. A:B
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| Actual odds in favor | B:A
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| Payoff Odds | The ratio of the net profit to the amount bet
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| Compound Event | Any event combining 2 or more simple events
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| Disjoint | If they cannot occur at the same time
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| Independant | Occurance of one event does not affect the other event
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| Dependant | One event affects the other
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| Random Variable | Variable that has a single numerical value, determined by chance, for each outcome of a Drocedure
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| Probability Distribution | Description that gives the probability for each value of the random variable
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| Discrete Random Variable | Finite number of values or a countable number of values
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| Continuous Random Variable | Infinitely many values, and those values can be associated with measurements on a continuous scale witout gaps or interruptions
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| Expected Value | Represents the mean of the outcomes
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