Semi interquartile range formula
[DOC File]Introduction - Pearson Education
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The semi-interquartile range, or quartile deviation, is simply half the interquartile range and has similar advantages and disadvantages as the interquartile range. The formula for semi-interquartile range is therefore: In Excel this is calculated as: =(QUARTILE(A:A,3)- QUARTILE(A:A,1))/2.
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The semi-interquartile range or the quartile deviation of a data is defined as DECILES If data arranged in order of magnitude is sub-divided into 10 equal portions ( …
[DOCX File]Criminology
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Measures of central tendencies (Mean, median mode) and measures of variability (range, interquartile range, variance, semi-quartile range, and standard deviation) Inferential Statistics. These are statistical techniques used to estimate or predict a population parameter from a sample statistic.
[DOC File]Chapter 3:
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Interquartile range: Semi-interquartile range: Midquartile: 10-90 Percentile Range: To Determine if a Data Value is an Outlier: Find Q1 and Q3. Find the interquartile range (IQR): Q3 – Q1. Multiply the IQR by 1.5. The data value is an outlier if it is above Q3 by an amount greater than 1.5 x IQR
[DOCX File]Advanced Excel - Statistical functions & formulae
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which is the range A1:D9; or like this. which is the range A1:A18. We specify a range by giving its first cell, a semi-colon, and the last cell. You can name a range – the simplest way is by highlighting a range and typing the name in the cell name box like this. In a formula we can now refer to the range …
[DOC File]INVESTIGATING COMMUNICATION 2nd edition: CHAPTER …
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Dividing the interquartile range in half produces the semi-quartile range. The distribution can also be divided into 10 equal parts, or deciles. g. Range and its variations are the only measure of dispersion that can be applied meaningfully to ordinal data, but is limited in describing the amount of dispersion in a set of interval/ratio data. 4.
[DOC File]blogs.glowscotland.org.uk
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I can calculate the interquartile range (IQR) and semi-interquartile range (SIQR) from a data set using the. formulae and . Before training athletes were tested on how many sit-ups they could do in one minute. The following information was obtained : lower quartile 23 median 39 upper quartile 51 (a) Calculate the semi-interquartile range.
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