Measures Of Central Tendency: Mean Medium Mode Mode instead of mean… Categorical variables‚ words not numbers Measures of Dispersion: Standard Deviation‚ Range‚ and Variables Range = Largest number minus smallest number SD = Average Distance from the Mean (Most frequently used) Variance: Fat & Skinny Distributions: Skewness – measure of the lack of symmetry‚ or the lopsidedness of a distribution. One “tail” of the distribution is longer than another. Kurtosis: has to do
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Measures of Central Tendency 1. What Do You Mean by Mean? a) The mean of the salaries is calculated by adding up each individual salary and dividing it by the seven employees. The mean of the seven salaries is $43‚814.29. The mean compares to the individual salaries because it shows the average of all the salaries together. The employees would use the average to negotiate with Dick for a higher salary‚ because by looking at the average you can see that Dick’s salary is an outlier compared to
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Mean‚ Median‚ Mode‚ and Range Mean‚ median‚ and mode are three kinds of "averages". There are many "averages" in statistics‚ but these are‚ I think‚ the three most common‚ and are certainly the three you are most likely to encounter in your pre-statistics courses‚ if the topic comes up at all. The "mean" is the "average" you ’re used to‚ where you add up all the numbers and then divide by the number of numbers. The "median" is the "middle" value in the list of numbers. To find the median‚ your
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Mean‚ median‚ and mode are differing values that furnish information regarding a set of observations. The mean is used when one desires to determine the average value for data ranked in intervals. The median is used to learn the middle of graded information‚ and the mode is used to summarize non-numeric data. The mean is equal to the amount of all the data in a set divided by the number of values in that set. It is typically used with continuous figures. The result will probably not be one of the
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Mean‚ Mode and Median Ungrouped and Grouped Data Ungrouped Data refers to raw data that has been ‘processed’; so as to determine frequencies. The data‚ along with the frequencies‚ are presented individually. Grouped Data refers to values that have been analysed and arranged into groups called ‘class’. The classes are based on intervals – the range of values – being used. It is from these classes‚ are upper and lower class boundaries found. Mean Mean The ‘Mean’ is the total of all the values
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Measures of Central Tendency Objectives of the chapter • To use summary statistics to describe collections of data • The main goal is to come up with the one single number that best describes a distribution of scores. • Lets us know if the distribution of scores tends to be composed of high scores or low scores. • To use the mean‚ median and mode to describe how data bunch up. The sales of 100 fast food shop is given below: Sales No. of (in 000s) Shops 700-799 4 800-899 7 900-999 8 1000-1099 10
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Mean‚ Mode and Median Ungrouped and Grouped Data Ungrouped Data refers to raw data that has been ‘processed’; so as to determine frequencies. The data‚ along with the frequencies‚ are presented individually. Grouped Data refers to values that have been analysed and arranged into groups called ‘class’. The classes are based on intervals – the range of values – being used. It is from these classes‚ are upper and lower class boundaries found. Mean Mean The ‘Mean’ is the total of all the values
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Module on Measures of Central Tendency Measures of Central Tendency There are many ways of describing of a given set of data. A good number of descriptive measures exist in statistics whose use depends largely on the nature of data and the intended purpose of the description. This measure is the measures of position or central tendency‚ it is use to see how a large set of raw materials can be summarized so that the meaningful essential can be extracted from it. The most commonly measures of central
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1.Mean and median are used as the primary measurement. Mode is seen in the first table and table 3 Appropriate measure of central tendency? Absolutely‚ the mean is clearly stated and many variations are introduced. Comparisons between years are used to show increases or decreases within the infant mortality rate. 2. How were measures of variation used in the study? Amongst the data collected several variations were introduced. These variations within cultures including Whites‚ Blacks
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Central Tendency and Measures of Variation Task 1: 1.1 a.) Define Population: Population is a complete group or collection of items or people selected to be used for a statistical study b.) Define Sample: Sample is a partial selection or part of the population for which the study uses for information gathering. 1.7 The Neilson study is an inferential study; the results contained on the study are not focused and generalized. The population is not defined and therefore inferences are needed
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