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Formula Compute a standard deviation with the Raw-Score Method Previously learned the deviation formula Good to see “what's going on” Raw score formula.

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Presentation on theme: "Formula Compute a standard deviation with the Raw-Score Method Previously learned the deviation formula Good to see “what's going on” Raw score formula."— Presentation transcript:

1

2

3 Formula

4 Compute a standard deviation with the Raw-Score Method
Previously learned the deviation formula Good to see “what's going on” Raw score formula Easier to calculate than the deviation formula Not as intuitive as the deviation formula They are algebraically the same!!

5 Raw-Score Formula Note: This is the formula for both  and S

6 Step 1: Create a table

7 Step 2: Square each value

8 Step 3: Sum

9 Step 4: Plug in values N = 5 X = 44  X2 = 640

10 Step 4: Plug in values 5 5 N = 5 X = 44  X2 = 640

11 Step 4: Plug in values 44 5 5 N = 5 X = 44  X2 = 640

12 Step 4: Plug in values 44 640 5 5 N = 5 X = 44  X2 = 640

13 Step 5: Solve! 1936 44 640 5 5

14 Step 5: Solve! 1936 44 640 387.2 5 5

15 Step 5: Solve! 1936 44 50.56 640 387.2 5 5 Answer = 7.11

16 Practice Use the raw score formula and find the standard deviation of:
6, 3, 4, 10, 8

17

18 31 225 5 5 N = 5 X = 31  X2 = 225

19 1936 44 225 192.2 2.56 = 5 5

20

21 Ŝ What if we want to use a sample standard deviation to estimate the population ? We need to make one small change to the formula to do this You need to make the s an “unbiased estimator”

22 Ŝ To do that you use Ŝ This provides an estimate of the populations variability

23 Remember

24 Just “ - 1” Ŝ

25 Remember S =

26 Just “ - 1” Ŝ = -1

27 Why? The first formula is biased -- its answer tends to be too small
Don’t worry about why -- unless you want too!!

28 Practice! Below is data from 5 people in this class. What is the estimated standard deviation of all the students in this class? Use the Ŝ raw score formula. Neuroticism scores 12, 15, 22, 10, 9

29

30 68 1034 5 5 - 1 N = 5 X = 68  X2 = 1034

31 1936 44 1034 924.8 5.22 = 5 4

32

33 Variance The last step in calculating a standard deviation is to find the square root The number you are fining the square root of is the variance!  2 = population variance Ŝ 2 = sample variance used to estimate  2

34 Variance S 2,  2 = Ŝ 2 =

35 Variance S 2,  2 = Ŝ 2 = - 1

36 There are 12 different formulas!
Standard Deviation Deviation Formula , S, Ŝ Raw Formula , S, Ŝ Variance Deviation Formula  2, S 2, Ŝ 2 Raw Formula  2, S 2, Ŝ 2

37 Review -- Important Formulas
Standard Deviation -- Deviation Formula  = Ŝ =

38 Review -- Important Formulas
Standard Deviation -- Deviation Formula

39 Review -- Important Formulas
Variance -- Deviation Formula 2 = Ŝ 2 =

40 Review -- Important Formulas
Variance -- Deviation Formula 2

41 Review -- Important Formulas
Standard Deviation -- Raw Formula  and S = Ŝ = - 1

42 Review -- Important Formulas
Variance -- Raw Formula 2 and S2 = Ŝ 2 = - 1

43 How to know which to use 1) Does the question want a standard deviation or a variance (most of the time standard deviations are used) 2) Is the group of scores a sample or population? 3) If it’s a sample, do you want to generalize the findings to a population?

44 Practice You are interested in how citizens of the US feel about the president. You asked 8 people to rate the president on a 10 point scale. Describe how the country feels about the president -- be sure to report a measure of central tendency and the standard deviation. 8, 4, 9, 10, 6, 5, 7, 9

45 Central Tendency 8, 4, 9, 10, 6, 5, 7, 9 4, 5, 6, 7, 8, 9, 9, 10 Mean = 7.25 Median = (4.5) = 7.5 Mode = 9

46 Standard Deviation Want to use Ŝ

47 Standard Deviation Want to use Ŝ -1

48 Standard Deviation Want to use Ŝ 452 58 8 8 - 1 -1

49 Standard Deviation Want to use Ŝ 58 452 8 8 - 1 -1

50 Standard Deviation Want to use Ŝ 452 420.5 7 -1

51 Standard Deviation Want to use Ŝ 2.12 -1

52

53 Boxplots The boxplot graphically displays three different characteristics of the distribution Extreme scores Interquartile range Median

54 Boxplot

55 Boxplot Interquartile range 25th - 75th percentile

56 Boxplot Extreme Scores

57 Boxplot Median

58 Boxplot Skew -- Look at the “whiskers” to determine if the distribution is skewed

59

60 Create a boxplot Create a boxplot with this data set
2, 5, 6, 10, 14, 16, 29, 40, 56, 62, 82, 99

61 Create a boxplot Create a boxplot with this data set
2, 5, 6, 10, 14, 16, 29, 40, 56, 62, 82, 99 Median = 25th = 75th = Lowest = Highest =

62 Create a boxplot Create a boxplot with this data set
2, 5, 6, 10, 14, 16, 29, 40, 56, 62, 82, 99 Median = 22.5 25th = 6 75th = 62 Lowest = 2 Highest = 99

63

64 Neuroticism

65 Extraversion

66 Conscientiousness

67 Which distribution has a positive skew?

68 Which distribution has a negative skew?

69 Which distribution is most compact?
E A B D

70 Which distribution has a median close to 25?

71 Which distribution is most symmetrical?

72 Which distribution has has the largest range?

73 Practice Make a box plot using the simple frequency distribution of Satisfaction with Life scores on page 27

74 Practice Page 67 3.25 3.28

75 Practice 3.25 Use S “hat” 33.16

76 Practice 3.28 Use S “hat” A = 1.90 B = 1.55 B is more consistent

77


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