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Business Statistics (BQT 173) ІМ ќ INSTITUT MATEMATIK K E J U R U T E R A A N U N I M A P Descriptive Statistics: Numerical Measures (Statistic)
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Lecture 2Abdull Halim Abdul2 What is statistic? Literally it is the number that describe something. Statistically statistic is a number that describe the sample.
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Lecture 2Abdull Halim Abdul3 Statistic Studied 1. Measure Of Central Tendency 1. Mean 2. Median 3. Mod 2. Measure Of Dispersion 1. Mean Deviation 2. Standard Deviation
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Lecture 2Abdull Halim Abdul4 Measure Of Central Tendency - Mean 1. Ungrouped data 2. Grouped data
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Lecture 2Abdull Halim Abdul5 Mean of Ungrouped Data The mean of a set of measurements is the sum of the measurements divided by the number of measurements in the set. Example
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Lecture 2Abdull Halim Abdul6 Mean of Grouped Data Example
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Lecture 2Abdull Halim Abdul7 Measure Of Central Tendency - Median The median is the middle value of a set of numbers arranged in order of magnitude
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Lecture 2Abdull Halim Abdul8 Median of Ungrouped Data The median depends on the number of observations in the sample. If it is odd, the median is the X ((n+1)/2) and is even, the median is the [X (n/2) +X (n/2 + 1) ]/2
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Lecture 2Abdull Halim Abdul9 Median of Grouped Data
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Lecture 2Abdull Halim Abdul10 Measure Of Central Tendency - Mode The mode of a set of numbers is the value which occurs most often
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Lecture 2Abdull Halim Abdul11 Mode of Ungrouped Data The mode of a set of numbers is the value which occurs most often
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Lecture 2Abdull Halim Abdul12 Mode of Grouped Data
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Lecture 2Abdull Halim Abdul13 Measure Of Dispersion The measure of dispersion or spread is the degree to which a set of data tends to spread about an average value. It shows whether the set of data is concentrated around the average not.
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Lecture 2Abdull Halim Abdul14 Variance The variance of a set of sample measurements is the sum of the squared deviations of the measurements from their mean divided by its degree of freedom (n-1). The most popular measure of dispersion
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Lecture 2Abdull Halim Abdul15 Variance (Ungrouped Data) Variance for population Variance for sample
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Lecture 2Abdull Halim Abdul16 Variance (Grouped Data)
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Lecture 2Abdull Halim Abdul17 Tchebyshev Theorem At least (1-1/k 2 ) from the measurements in the related data will be in the range of k standard deviation from mean, which k is the positive number exceed than 1.
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Lecture 2Abdull Halim Abdul18 Empirical Theorem For a data that is mountshaped, the interval Contains approximately 68% of the measurements lie in one std deviation interval, Contains approximately 95% of the measurements lie in two std deviation interval, Contains approximately 99.7% of the measurements lie three std deviation interval
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