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Ch. 3 – part 1 Measures of central tendency Measures of variation Calculating standard deviation Using the TI30XII ma260notes_ch3_calc_directions.pptx
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Notation- sample and population sizeMeanVariationStandard deviation Sample n s Population N
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Measures of Central Tendency-- Averages Find the average for the following test scores: Ex. #1: 78 83 97 32 75 45 52 How should we measure the average?
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78 83 97 32 75 45 52 Mean Median Mode Midrange
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Ex. #2: Find mean, median, mode, midrange SalaryFrequency 10,0001 20,0004 30,0003 250,0001
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Ex #3: GPAs – calculate ClassGrade# credits MathB (3.0)4 EnglishC (2.0)2 PhysicsA (4.0)5
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Find the approximate mean, median, mode on these distributions Symmetric UniformBimodal Skewed Left Skewed Right
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Skewed distributions and measures of central tendency
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Ex. #4: Find the mean and median for each of the 2 examples Class 1 100 90 70 50 40 Class 2 72 71 70 69 68
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How do they vary?-- Range Class 1 100 90 70 50 40 Class 2 72 71 70 69 68
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Measures of variation Range= Sample Standard deviation = s =
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Basic formulas sizeMeanVarianceStandard deviation (algebraically equivalent) Population N = = Sample n = s 2 theoretical s = Computation-shortcut s =
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Sample Standard deviation (s) formulas– Theoretical formula calculation formula S = =
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Optional: Proof that the 2 s formulas are algebraically equivalent
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Use theoretical formula to find st dev (s) Class 1 100 90 70 50 40 Class 2 72 71 70 69 68
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Example #5- Mean and s Try an example using both the theoretical formula and the computational formula for s: Data set: 1 1 2 4 7 Calculate the mean. You should get 3
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Ex #5-- Theoretical formula Use the theoretical formula for s x i 2
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Ex # 5 -- Computation formula Use the computational formula for s X i x i 2
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What does s mean? For the previous example, calculate: Mean + s = Mean – s =
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Using your TI30XIIS or TI30XIIB for One variable statistics (using Ex #4) Considering the following data set, calculate sample mean and sample standard deviation: 1 1 2 4 7 Here are the key strokes: 1.Clear previous data with [EXIT STAT]: push [2nd] and then [STAT VAR] (If you get an Error, hit CLEAR). 2.Enter Statistics mode by hitting: the [2 nd ]button followed by [DATA] 3. Hit [=] to accept One-Variable Mode. 4. Hit the [DATA] button and it is ready for you to enter your first value when it prompts X 1 = 5. Type in the first piece of data (in this case it is 1). 6. Hit the “down arrow” button to accept the piece of data…
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TI30XII continued… 7. When it say FRQ=1 (i.e.frequency is one) hit the “down arrow” button again 8. Now enter in your second piece of data when it prompts X 2 = 9. Keep entering in data with frequencies of 1 until all of the data is in the calculator. (In this case, after the 5 data values, the calculator prompts X 6 =). 10. Hit the [STATVAR] button. 11. Use your right arrow to find the sample mean and sample standard deviation (s x =2.55) 12. Clear data again with [EXIT STAT]: Hitting [2 nd ] followed by [STATVAR] will prompt you to leave the statistics mode. Hit [=] to leave statistics mode. You are now ready to start a new data set.
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Basic info on using the TI83 instead: Go to STAT/Edit: Pick 4. Type "ClrList L1" Go to STAT/Edit Pick 1. Edit. Enter your list of numbers. Go to STAT/CALC and pick 1. 1-Var Stats
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Ex 6: Use calculation formula for s X 2 3 7 12 15 16 Now, verify mean and s on your calculator
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Example #6: 112.8 141.3 198.9 200.4 87.5 When the mean isn’t an integer, the theoretical formula is messier. Try another example using only the computational formula for s. This is the one we’ll usually use: Data set: 112.8 141.3 198.9 200.4 87.5 Calculate the mean. You should get 148.18
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Calculate s, using shortcut formula x i x i 2 112.8 12723.84 141.3 19965.69 198.9 39561.21 200.4 40160.16 87.5 7656.25 Sum=740.9 sum=120,067.15 s = = = 50.7 Now, verify your work using the TI30XII.
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