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Introduction to Using Statistical Analyses. Measures of Central Tendency (done . . .for now) Measures of Variability Writing Using the Standard Normal Curve. A Reminder of the Way We Note Things: Our Shorthand. A Reminder of the Way We Note Things: Our Shorthand.
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Introduction to Using Statistical Analyses • Measures of Central Tendency (done . . .for now) • Measures of Variability • Writing • Using the Standard Normal Curve
A Reminder of the Way We Note Things: Our Shorthand
A Reminder of the Way We Note Things: Our Shorthand
A Reminder of the Way We Note Things: Our Shorthand
A Reminder of the Way We Note Things: Our Shorthand
A Reminder of the Way We Note Things: Our Shorthand
Introduction to Using Statistical Analyses • Measures of Central Tendency (done . . .for now) • Measures of Variability • Writing • Using the Standard Normal Curve
Assessing Dispersion by Looking at Spread Data 2 5 8 Mean = 5
Assessing Dispersion by Looking at Spread Data 2 5 8 Mean = 5 How far from the mean are the data?
Starting to Assess the Variance 2 5 8 - 5 - 5 - 5 = - 3 = 0 = 3
A Formula to Assess the Variance 2 5 8 - 5 - 5 - 5 = - 3 = 0 = 3 9 0 9
A Formula to Assess the Variance 2 5 8 - 5 - 5 - 5 = - 3 = 0 = 3 9 0 9 18 =
A Formula to Assess the Variance 2 5 8 - 5 - 5 - 5 = - 3 = 0 = 3 9 0 9 18 =
A Formula to Assess the Variance 2 5 8 - 5 - 5 - 5 = - 3 = 0 = 3 9 0 9 THE VARIANCE 18 =
SAMPLE AND POPULATION TERMS Sample Population
SAMPLE AND POPULATION TERMS Sample Population Mean
SAMPLE AND POPULATION TERMS Sample Population Mean Variance
SAMPLE AND POPULATION TERMS Sample Population Mean Variance Standard Deviation
Introduction to Using Statistical Analyses • Measures of Central Tendency (done . . .for now) • Measures of Variability • Writing • Using the Standard Normal Curve
Introduction to Using Statistical Analyses • Measures of Central Tendency (done . . .for now) • Measures of Variability • Writing • Using the Standard Normal Curve
Standard Normal Curve = 0 - 3 s + 3 s = 1
z Scores when Data Do Not Already Have a Mean of 0 and a Standard Deviation of 1
z Scores when Data Do Not Already Have a Mean of 0 and a Standard Deviation of 1 or
Areas under the Standard Normal Curve z = -1.67 z = 1 0
Areas under the Standard Normal Curve z = -1.75 z = 1.75 0
Correlation Example Speaking Skill X Writing Skill Y 1 2 3 4 5 3 4 7 5 6
Correlation Chart * 7 * 6 * 5 * 4 Writing skill * 3 2 1 0 0 1 2 3 4 5 Speaking Skill
Correlation Chart * 7 * 6 * 5 * 4 Writing skill * 3 2 1 0 0 1 2 3 4 5 Speaking Skill
Correlation Chart * 7 * 6 * 5 * 4 Writing skill * 3 2 1 0 0 1 2 3 4 5 Speaking Skill
Correlation Example Using z scores Speaking Skill X Writing Skill Y Zy Zx 1 2 3 4 5 - 1.27 - .63 0 .63 1.27 3 4 7 5 6 - 1.27 - .63 1.27 0 .63
Correlation Example Using z scores Speaking Skill X Writing Skill Y Zy Zx Zx * Zy 1 2 3 4 5 - 1.27 - .63 0 .63 1.27 3 4 7 5 6 - 1.27 - .63 1.27 0 .63 1.61 .4 0 0 .8
Correlation Example Using z scores Speaking Skill X Writing Skill Y Zy Zx Zx * Zy 1 2 3 4 5 - 1.27 - .63 0 .63 1.27 3 4 7 5 6 - 1.27 - .63 1.27 0 .63 1.61 .4 0 0 .8 SUM = _ 2.81 __ n-1 = 4
Correlation Example Using z scores Speaking Skill X Writing Skill Y Zy Zx Zx * Zy 1 2 3 4 5 - 1.27 - .63 0 .63 1.27 3 4 7 5 6 - 1.27 - .63 1.27 0 .63 1.61 .4 0 0 .8 =.70 SUM = _ 2.81 __ n-1 = 4
Correlation Example Speaking Skill X Writing Skill Y 1 2 3 4 5 - 2 - 1 0 1 2 3 4 7 5 6 - 2 - 1 2 0 1
Correlation Example Speaking Skill X Writing Skill Y * 1 2 3 4 5 - 2 - 1 0 1 2 3 4 7 5 6 - 2 - 1 2 0 1 4 1 0 0 2
Correlation Example Speaking Skill X Writing Skill Y * 1 2 3 4 5 - 2 - 1 0 1 2 3 4 7 5 6 - 2 - 1 2 0 1 4 1 0 0 2 = 7
Correlation Example Speaking Skill X Writing Skill Y * 1 2 3 4 5 - 2 - 1 0 1 2 3 4 7 5 6 - 2 - 1 2 0 1 4 1 0 0 2 = 7 n-1 = 4