Statistics calculator q1 q2 q3

    • [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.

      how to find q1 and q3 statistics


    • [DOC File]Statistics, Day 1

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      The minimum, Q1, Median, Q3 and maximum values are called the five number summary. Statistics, Day 3. Objectives: To find measures of variation in a set of data; To identify outliers; To use the graphing calculator to find summary statistics and make Histograms and Box Plots. We have already talked about measures of central tendency in a data set.

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    • [DOC File]Paper Reference(s)

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      (6) (d) Q3 –Q2 > Q2 –Q1 . Or mode = 1 and mode < median. Or mean = 2 and median < mode. Sketch of pdf here or be referred to if in a different part of the question. Box plot with Q1, Q2, Q3 values marked on M1 Positive skew. A1 (2) Examiner reports. Question 1. This question proved to be a good start to the paper for a majority of the ...

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    • [DOC File]CHAPTER 14: DESCRIPTIVE STATISTICS

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      M or Q2: Median (50th Percentile) Q3: 3rd Quartile (75th Percentile) MAX or Q4: Maximum Value (100th Percentile) VISUALIZING FIVE-NUMBER SUMMARY - BOX PLOT (Box and Whisker Plot) Boxes = Range: Q1 to Median and Median to Q3. Whiskers = Min to Q1 and Q3 to Max Getting Five Number Summary using Calculator: One-Variable Statistics [STAT] ([EDIT ...

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    • [DOC File]Sine, Cosine & Tangent

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      Q1. a. b. Q2. Class B has a higher median and a smaller range than class A. Although class A has a higher maximum mark there is a greater spread of ability. Q3. Line B is the better line, there is less variation in the length of the shoe-laces. Q4. Statistics 1 ~Mean ,median,mode (revision) Q1. Q2. Q3. 339.4, 322 Q4. 3.4, 3.4, 1.6 Q5. a. 2.75 ...

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    • [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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    • [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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    • [DOCX File]www.jmap.org

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      To create a box plot, use one-variable stats in a graphing calculator and plot the minimum, Q1, Q2, Q3, and maximum values on a number line Draw boxes around the middle two quartiles.

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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.

      how to find q1 and q3 statistics


    • [DOC File]1 - Franklin Township Public Schools

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      Q1 - 25th percentile - means 25% of data falls at or below this value. Q2- median - 50th percentile . Q3 - 75th percentile - means 75% of data falls at or below this value. 95th percentile means 95% of data is at or below this value. The five number summary. Consists of the. min, Q1, median, Q3, max

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