Solution to the Normal Curve - Worksheet 31,32,38,42,44,45

RV'SMath, SAVAŞ ORHAN, Mar 7, 2018

This is my work on the Standard Deviation of the Normal Curve. SEE MY GRAPHS TO SEE HOW THIS WORKS: ( I have solved the problem of Normal Probabilities using RV Sigma; See worksheet 32 ) - See Work Sheet 18, 19, 22, and 23 , 24, 28, 29, 30, 31, Solution - see worksheet - 32, 35,37,38, 40, 41

Table of Contents

  1. Standard Deviations
    1. Sigma Probabilities
    2. The Normal Curve Challenge Solve for " P "
    3. Dynamic functions
    4. Dynamic Functions 2
    5. The Skewed Radius
    6. Proportional Line relationship
    7. Z Distribution .01 - 4.5
    8. Z Distribution .01-4.5
    9. Equations of the Z Distribution
    10. Mu- 0 to .6
    11. Direct Calculation of the Normal Distribution Probabilities
    12. Z probabilities with the t - statistic
    13. Angles : Zeta Xi Phi : The Z Distribution
    14. The Independent Z Distribution
    15. Proportional Probabilities
    16. The Log Distribution of Z and STD.
    17. Constant Reference Lines
    18. Trigonmic Solutions to the Normal Probabilities
    19. 1/2 Area Probabilities Solutions
    20. Percentiles and Probabilities
    21. Comparison Distribution
    22. 1/2 triangle probabilities
    23. Exterior Angle Probabilities
    24. Plot- Standard Deviation vs Normal Probabilities vs Z values
    25. The Square Function
    26. Animated Ln Values
    27. The Error Function
    28. Geometric Properties of the Normal Curve and it's Deviation
    29. P and 1 - P ; The Cumulative Distribution
    30. Probabilities by Standard Deviations
    31. Probabilities only using Sigma
    32. Solutions to the Normal Curve
    33. K / Sigma Probabilities
    34. Poisson's Distributions Relation to Z
    35. Independent Distributions
    36. Power 2 - Adjusted
    37. σ² = X
    38. Expected Value
    39. Family of Functions
    40. Normal Curve without Sigma in Denomenator
    41. The Normal Curve in two Forms
    42. Comparison of SD'S - Probabilities - Z
    43. The Emperical Rule?
    44. Student's - " Probable Error of the Mean "
    45. Modeling Distributions
    46. Fermat's Theorem
    47. Squarring the Circle
    48. Geometric Properties
    49. Variation
    50. Perspective

1.

Standard Deviations

  • 1. Sigma Probabilities
  • 2. The Normal Curve Challenge Solve for " P "
  • 3. Dynamic functions
  • 4. Dynamic Functions 2
  • 5. The Skewed Radius
  • 6. Proportional Line relationship
  • 7. Z Distribution .01 - 4.5
  • 8. Z Distribution .01-4.5
  • 9. Equations of the Z Distribution
  • 10. Mu- 0 to .6
  • 11. Direct Calculation of the Normal Distribution Probabilities
  • 12. Z probabilities with the t - statistic
  • 13. Angles : Zeta Xi Phi : The Z Distribution
  • 14. The Independent Z Distribution
  • 15. Proportional Probabilities
  • 16. The Log Distribution of Z and STD.
  • 17. Constant Reference Lines
  • 18. Trigonmic Solutions to the Normal Probabilities
  • 19. 1/2 Area Probabilities Solutions
  • 20. Percentiles and Probabilities
  • 21. Comparison Distribution
  • 22. 1/2 triangle probabilities
  • 23. Exterior Angle Probabilities
  • 24. Plot- Standard Deviation vs Normal Probabilities vs Z values
  • 25. The Square Function
  • 26. Animated Ln Values
  • 27. The Error Function
  • 28. Geometric Properties of the Normal Curve and it's Deviation
  • 29. P and 1 - P ; The Cumulative Distribution
  • 30. Probabilities by Standard Deviations
  • 31. Probabilities only using Sigma
  • 32. Solutions to the Normal Curve
  • 33. K / Sigma Probabilities
  • 34. Poisson's Distributions Relation to Z
  • 35. Independent Distributions
  • 36. Power 2 - Adjusted
  • 37. σ² = X
  • 38. Expected Value
  • 39. Family of Functions
  • 40. Normal Curve without Sigma in Denomenator
  • 41. The Normal Curve in two Forms
  • 42. Comparison of SD'S - Probabilities - Z
  • 43. The Emperical Rule?
  • 44. Student's - " Probable Error of the Mean "
  • 45. Modeling Distributions
  • 46. Fermat's Theorem
  • 47. Squarring the Circle
  • 48. Geometric Properties
  • 49. Variation
  • 50. Perspective

1.1.

Sigma Probabilities

Type into the input box ( .2222 to 7979 ) these values increase by .10 Standard Deviations Type into the input box ( .01 to 4.5 ) these values increase by .01 Z values should be type : 1/Z; which converts them to Standard Deviatons Out Comes: RV (Brown) standard deviations; My formula always equals the value of Sigma - Standard Deviation. Z (Blue) Z values Pstd1 (Pink) Probabilities of the Normal Curve at 1 std. NH Point ( H ) on the Z line (Blue) Point H is on the Curve 1/ RVSTD and is represented on Line Z ( Blue ) Slope Line. NH distance = the distance from ( 0,0) to point H on Line Z. (Blue Sloped Line)

Type in the above values mentioned. Z'S should be typed in: 1/Z
– RV'SMath

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