Q1 q2 q3 iqr calculator: free download. On-line document store on 5y1.org

[DOC File]Paper Reference(s)
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In part (d) most candidates knew a rule to apply but a few got muddled with what exactly it was, using Q3 – Q1 or Q1 – Q2 or incorrectly for example. Having managed to apply the rule, some then got muddled in their reasoning, stating it showed positive skew or put the inequality signs the wrong way around which led to an incorrect conclusion.
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[DOCX File]Deer Valley Unified School District / Homepage
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Using the original rainfall data above, the IQR is 22. Any observation that is below Q1 - 1.5 x IQR or above Q3 + 1.5 x IQR is considered an outlier. Any rainfall amount below 59 - 1.5(22) = 26 inches would be an outlier. Any rainfall amount above 81 + 1.5(22) = 114 inches would be an outlier.
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[DOC File]Chapter 1 Review
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Using your calculator, find the five number summary for both sets of data. Construct a comparative box and whisker plot for both sets of data. Brand X Brand Y. Min 30 17. Q1 32 42. Q2 39 43. Q3 42 48. Max 55 50. Are there any outliers? Justify your answer mathematically for both Brand X and Brand Y.
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[DOC File]1 - Franklin Township Public Schools
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Can use the calculator to find the median and quartiles using. 1-Var Stats (scroll down to second page of results) Outlier. An observation that falls outside the overall pattern of the data. Calculated by using the IQR - interquartile range (Q3 - Q1) Anything smaller than . Q1 – 1.5(IQR) or larger than. Q3 + 1.5(IQR) is an outlier. These are ...
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[DOC File]Section 1
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Outlier– a data value that lies outside the interval [Q1 – 1.5 ( IQR, Q3 + 1.5 ( IQR] Pth percentile – p percent of the observations (in an ordered list) fall below at or below this number. Quartile – multiples of 25th percentile (Q1 – 25th; Q2 –50th or median; Q3 – 75th) …
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[DOC File]Name:
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1) Find the IQR (Q3-Q1) 2) Multiply IQR by 1.5. 3) Add the result to Q3 if you have data values greater than this sum those are outliers. 4) Subtract the result from Q1 if you have data values less than this difference those are outliners. Technology TI-83 Smartview Calculator. Given the data set { 85,100,97,84,73,89,73,65,50,83,79,92,78,10}
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[DOC File]Statistics, Day 1
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The IQR is the difference between Q3 and Q1. It represents the middle 50% of the data. IQR = Q3 – Q1 = A data point is considered an outlier if it lies more than 1.5*IQR away from Q3 or Q1. Outliers are represented as individual data points on a box plot. Example: Use the 1.5 IQR rule to determine if any of the test scores are outliers.
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[DOC File]Sample Test Questions -- Test 1 - University of Florida
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C. IQR= Q3-Q1= 83-62=21. A. Use your calculator. B Since it follows the standard normal distribution, the standard deviation(s) equals to one. S= variance = 1. A. Z= (42-50)/10=-0.8. Enter table A under Z=-0.8. The table entry is 0.2119. This is the area to the left of –0.8. Because the total area under the curve is 1, the area lying to the ...
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[DOC File]CHAPTER 14: DESCRIPTIVE STATISTICS
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INTERQUARTILE RANGE, IQR: IQR = Q3 - Q1. Represents the spread of the MIDDLE 50% of the data values. OUTLIERS: an extreme data point that does not fit into the overall pattern. CALCULATING AN OUTLIER: Use the IQR. Value > Q3 + 1.5 IQR or Value < Q1 - 1.5 IQR. Use information from the five number summary to calculate.
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[DOCX File]mymission.lamission.edu
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Find Q1, Q2 (median), Q3, five number summary, and IQR. Construct and analyze boxplots and dotplots. Analyze histograms and boxplots. Compare mean and median (for what graphs will mean be lower/higher than median) Decide to use mean /SD versus median / IQR and interpret its meaning
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Q1 q2 q3 iqr calculator