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Biostatistics Basics   An introduction to an expansive and complex field
Common statistical terms  ,[object Object],[object Object],[object Object],[object Object],[object Object]
Statistical terms (cont.)  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Statistical terms (cont.) ,[object Object],[object Object],[object Object],[object Object]
Populations ,[object Object],[object Object],[object Object],[object Object]
Random samples  ,[object Object],[object Object],[object Object],[object Object]
Random samples (cont.) ,[object Object],[object Object],[object Object],[object Object]
Descriptive statistics ( DSs) ,[object Object],[object Object],[object Object]
DSs (cont.) ,[object Object],[object Object],[object Object],[object Object],[object Object]
Hypothetical study data (partial from book) Case #  Visits 1 7 2 2  3 2  4 3  5 4  6 3  7 5  8 3  9 4  10 6  11 2  12 3  13 7  14 4  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],etc.
Frequency distribution table ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Frequency distributions are  often depicted by a histogram
Histograms (cont.) ,[object Object],[object Object],[object Object],[object Object]
Measures of central tendency ,[object Object],[object Object],[object Object],[object Object]
Formula to calculate the mean ,[object Object],[object Object],[object Object],[object Object],[object Object]
Measures of central  tendency (cont.) ,[object Object],[object Object],[object Object],Mode
Measures of central  tendency (cont.) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Measures of central  tendency (cont.) ,[object Object],[object Object],[object Object],[object Object]
Levels of measurement ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Levels of measurement (cont.) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Levels of measurement (cont.) ,[object Object],[object Object],[object Object],[object Object]
Levels of measurement (cont.) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Levels of measurement (cont.) ,[object Object],[object Object],[object Object],[object Object]
Levels of measurement (cont.) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Levels of measurement (cont.) ,[object Object],[object Object]
Levels of measurement (cont.) Symmetrical – Mean Skewed – Median Addition, subtraction, multiplication and division  Ratio Symmetrical – Mean Skewed – Median Addition and subtraction Interval Median Greater or less than  operations Ordinal Mode Counting Nominal Best measure of central tendency Permissible mathematic operations Measurement scale
The shape of data  ,[object Object],[object Object],[object Object]
The shape of data (cont.)  Line depicting the  shape  of the data
The normal distribution ,[object Object],[object Object],[object Object],[object Object],[object Object]
The normal distribution (cont.)  Mean A normal distribution is symmetric about its mean As one moves away from  the mean in either direction  the height of the curve  decreases, approaching,  but never reaching zero The highest point of the overlying  normal curve is at the mean
The normal distribution (cont.)  Mean = Median = Mode
Skewed distributions ,[object Object],[object Object],[object Object],[object Object]
Skewed distributions (cont.) ,[object Object],[object Object],[object Object],The mean is shifted  the most
Skewed distributions (cont.) ,[object Object],[object Object],[object Object],[object Object]
More properties  of normal curves ,[object Object],[object Object],[object Object]
More properties  of normal curves (cont.)
Standard deviation (SD)  ,[object Object],[object Object],[object Object],[object Object]
SD (cont.) ,[object Object],[object Object],[object Object]
SD (cont.) Ages are spread  out along an X axis  The amount ages are  spread out is known as  dispersion  or  spread
Distances ages deviate above and below the mean  Adding deviations  always equals zero   Etc.
Calculating  S 2 ,[object Object],[object Object],[object Object]
Calculating  S 2  cont.  Symbol for SD of a sample     for a population  S 2  is not in the  same units (age),  but SD is
Calculating SD with Excel Enter values in a column
SD with Excel (cont.) Click  Data Analysis   on the  Tools  menu
SD with Excel (cont.) Select  Descriptive Statistics  and click OK
SD with Excel (cont.) Click  Input Range  icon
SD with Excel (cont.) Highlight all the values in the column
SD with Excel (cont.) Check if labels are  in the first row Check  Summary Statistics Click OK
SD with Excel (cont.) SD is calculated precisely Plus several other DSs
Wide spread results in higher SDs narrow spread in lower SDs
Spread is important when comparing 2 or more group means  It is more difficult to  see a clear distinction between groups  in the upper example  because the spread is  wider, even though the  means are the same
z-scores ,[object Object],[object Object]
z-scores (cont.) ,[object Object],[object Object],[object Object],[object Object]
z-scores (cont.) Refer to a z-table to find proportion under the curve
z-scores (cont.) 0.9332 Corresponds to the area  under the curve in black 0.9441 0.9429 0.9418 0.9406 0.9394 0.9382 0.9370 0.9357 0.9345 0.9332 1.5 0.9319 0.9306 0.9292 0.9279 0.9265 0.9251 0.9236 0.9222 0.9207 0.9192 1.4 0.9177 0.9162 0.9147 0.9131 0.9115 0.9099 0.9082 0.9066 0.9049 0.9032 1.3 0.9015 0.8997 0.8980 0.8962 0.8944 0.8925 0.8907 0.8888 0.8869 0.8849 1.2 0.8830 0.8810 0.8790 0.8770 0.8749 0.8729 0.8708 0.8686 0.8665 0.8643 1.1 0.8621 0.8599 0.8577 0.8554 0.8531 0.8508 0.8485 0.8461 0.8438 0.8413 1.0 0.8389 0.8365 0.8340 0.8315 0.8289 0.8264 0.8238 0.8212 0.8186 0.8159 0.9 0.8133 0.8106 0.8078 0.8051 0.8023 0.7995 0.7967 0.7939 0.7910 0.7881 0.8 0.7852 0.7823 0.7794 0.7764 0.7734 0.7704 0.7673 0.7642 0.7611 0.7580 0.7 0.7549 0.7517 0.7486 0.7454 0.7422 0.7389 0.7357 0.7324 0.7291 0.7257 0.6 0.7224 0.7190 0.7157 0.7123 0.7088 0.7054 0.7019 0.6985 0.6950 0.6915 0.5 0.6879 0.6844 0.6808 0.6772 0.6736 0.6700 0.6664 0.6628 0.6591 0.6554 0.4 0.6517 0.6480 0.6443 0.6406 0.6368 0.6331 0.6293 0.6255 0.6217 0.6179 0.3 0.6141 0.6103 0.6064 0.6026 0.5987 0.5948 0.5910 0.5871 0.5832 0.5793 0.2 0.5753 0.5714 0.5675 0.5636 0.5596 0.5557 0.5517 0.5478 0.5438 0.5398 0.1 0.5359 0.5319 0.5279 0.5239 0.5199 0.5160 0.5120 0.5080 0.5040 0.5000 0.0 0.09 0.08 0.07 0.06 0.05 0.04 0.03 0.02 0.01 0.00 Z   Partial z-table (to z = 1.5) showing proportions of the  area under a normal curve for different values of z.

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Biostatistics basics-biostatistics4734

  • 1. Biostatistics Basics An introduction to an expansive and complex field
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12. Frequency distributions are often depicted by a histogram
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26. Levels of measurement (cont.) Symmetrical – Mean Skewed – Median Addition, subtraction, multiplication and division Ratio Symmetrical – Mean Skewed – Median Addition and subtraction Interval Median Greater or less than operations Ordinal Mode Counting Nominal Best measure of central tendency Permissible mathematic operations Measurement scale
  • 27.
  • 28. The shape of data (cont.) Line depicting the shape of the data
  • 29.
  • 30. The normal distribution (cont.) Mean A normal distribution is symmetric about its mean As one moves away from the mean in either direction the height of the curve decreases, approaching, but never reaching zero The highest point of the overlying normal curve is at the mean
  • 31. The normal distribution (cont.) Mean = Median = Mode
  • 32.
  • 33.
  • 34.
  • 35.
  • 36. More properties of normal curves (cont.)
  • 37.
  • 38.
  • 39. SD (cont.) Ages are spread out along an X axis The amount ages are spread out is known as dispersion or spread
  • 40. Distances ages deviate above and below the mean Adding deviations always equals zero Etc.
  • 41.
  • 42. Calculating S 2 cont. Symbol for SD of a sample  for a population S 2 is not in the same units (age), but SD is
  • 43. Calculating SD with Excel Enter values in a column
  • 44. SD with Excel (cont.) Click Data Analysis on the Tools menu
  • 45. SD with Excel (cont.) Select Descriptive Statistics and click OK
  • 46. SD with Excel (cont.) Click Input Range icon
  • 47. SD with Excel (cont.) Highlight all the values in the column
  • 48. SD with Excel (cont.) Check if labels are in the first row Check Summary Statistics Click OK
  • 49. SD with Excel (cont.) SD is calculated precisely Plus several other DSs
  • 50. Wide spread results in higher SDs narrow spread in lower SDs
  • 51. Spread is important when comparing 2 or more group means It is more difficult to see a clear distinction between groups in the upper example because the spread is wider, even though the means are the same
  • 52.
  • 53.
  • 54. z-scores (cont.) Refer to a z-table to find proportion under the curve
  • 55. z-scores (cont.) 0.9332 Corresponds to the area under the curve in black 0.9441 0.9429 0.9418 0.9406 0.9394 0.9382 0.9370 0.9357 0.9345 0.9332 1.5 0.9319 0.9306 0.9292 0.9279 0.9265 0.9251 0.9236 0.9222 0.9207 0.9192 1.4 0.9177 0.9162 0.9147 0.9131 0.9115 0.9099 0.9082 0.9066 0.9049 0.9032 1.3 0.9015 0.8997 0.8980 0.8962 0.8944 0.8925 0.8907 0.8888 0.8869 0.8849 1.2 0.8830 0.8810 0.8790 0.8770 0.8749 0.8729 0.8708 0.8686 0.8665 0.8643 1.1 0.8621 0.8599 0.8577 0.8554 0.8531 0.8508 0.8485 0.8461 0.8438 0.8413 1.0 0.8389 0.8365 0.8340 0.8315 0.8289 0.8264 0.8238 0.8212 0.8186 0.8159 0.9 0.8133 0.8106 0.8078 0.8051 0.8023 0.7995 0.7967 0.7939 0.7910 0.7881 0.8 0.7852 0.7823 0.7794 0.7764 0.7734 0.7704 0.7673 0.7642 0.7611 0.7580 0.7 0.7549 0.7517 0.7486 0.7454 0.7422 0.7389 0.7357 0.7324 0.7291 0.7257 0.6 0.7224 0.7190 0.7157 0.7123 0.7088 0.7054 0.7019 0.6985 0.6950 0.6915 0.5 0.6879 0.6844 0.6808 0.6772 0.6736 0.6700 0.6664 0.6628 0.6591 0.6554 0.4 0.6517 0.6480 0.6443 0.6406 0.6368 0.6331 0.6293 0.6255 0.6217 0.6179 0.3 0.6141 0.6103 0.6064 0.6026 0.5987 0.5948 0.5910 0.5871 0.5832 0.5793 0.2 0.5753 0.5714 0.5675 0.5636 0.5596 0.5557 0.5517 0.5478 0.5438 0.5398 0.1 0.5359 0.5319 0.5279 0.5239 0.5199 0.5160 0.5120 0.5080 0.5040 0.5000 0.0 0.09 0.08 0.07 0.06 0.05 0.04 0.03 0.02 0.01 0.00 Z Partial z-table (to z = 1.5) showing proportions of the area under a normal curve for different values of z.