Statistics - PowerPoint PPT Presentation

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Statistics

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Population: Inferential Statistics. Descriptive Statistics. Measures of central tendency ... Relationship of sample mean to population mean example: number of pets ... – PowerPoint PPT presentation

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Title: Statistics


1
Statistics
  • Sample Descriptive Statistics
  • Population Inferential Statistics

2
Descriptive Statistics
  • Measures of central tendency
  • Mean
  • Median
  • Mode
  • Measures of variability
  • Standard deviation (SD)
  • Variance (SD squared)
  • Correlation measure of relatedness

3
Populations and Samples
  • Population all the possible scores
  • All living humans
  • All possible rolls of a pair of dice
  • Sample a subset of the population
  • Random sample best kind unbiased
  • Relationship of sample mean to population mean
    example number of pets

4
Example of Comparing 2 Means
  • DV of minutes balancing on one foot
  • IV whether blindfolded or not
  • Hypothesis Lack of visual cues decreases balance
  • Means of two samples 2.6 yes, 5.1 no
  • Confirmed hypothesis?
  • Is the difference due to chance?
  • How can you tell if a difference found in an
    experiment is due to chance?
  • How often do differences this big occur by
    chance?

5
Tests of Significance
  • t
  • F
  • Tell us how often we would get the results we see
    in our sample just by chance

6
Hypothesis Testing
  • H0 the null hypotheis
  • Mean1 Mean2
  • Experimental Condition Control Condition
  • H1 the research hypothesis
  • Mean1 does not equal Mean2
  • Experimental Condition does not equal Control
    Condition

7
Hypothesis Testing Logic
  • Assume H0
  • Calculate a test statistic (such as t) to get p
    (p how often a difference this large would
    occur by chance)
  • If p lt .05, conclude that H0 is false (reject
    H0)
  • If you reject H0, you are left with H1
  • Conclude that the means are really different
  • Say the difference is statistically
    significant.
  • If p gt .05, you can not reject H0
  • Say the difference was not statistically
    significant.

8
Testing Hypotheses
  • Are the means for the two groups really
    different? (Blindfolded vs. not)
  • Steps to Follow
  • Check for invalid data (analyze-gt descriptive
    statistics -gt explore)
  • Check for outliers remove outliers
  • Compare means with t-test (analyze -gt compare
    means)
  • Independent Samples for 2 groups
  • Paired Samples for repeated measures (one
    group)
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