Interpreting Geographical Data

Year one statistics exam

  • Summation sign
  • Rounding
  • Central tendency
  • Variability
  • Boxplots
  • Standard deviations
  • Normal distribution
  • Sampling
  • Reliability and standard errors
  • Confidence intervals and t-distribution
  • Colomn, charts and tables
  • Hypothesis testing and one sample t-test
  • Two sample t-test
  • F-test
  • Anova I
  • Anova II
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  • Created by: Sophie
  • Created on: 04-01-15 13:38

1. Which is not an assumption of the F and T tests?

  • The independence assumption.
  • (T-test only) The HOMOGENEITY OF VARIANCE assumption, just means that the variances are equal. HOMOSCEDASTICITY. This just means 'constant variance'. The opposite is HETEROSCEDASTICITY, which means 'non-constant variance'.
  • The random sampling assumption
  • The replication assumption
  • The normality assumption
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Other questions in this quiz

2. Which is not an improvement that could be made to colomn charts?

  • An accompanying explanation helps (captions/legends)
  • May the chart look as professional as possible
  • Helpful information should be added (error bars, annotations, axis labels)
  • Remove unnecessary data (data junk)

3. How do you calculate variability?

  • Range
  • Mode
  • Median
  • Mean

4. What is reliability?

  • The measure of how the parameters of sample and population are the same
  • The measure of how similar the sample mean is as an estimate to the population mean
  • The measure of how different the sample mean is as an estimate to the population mean

5. What do whiskers represent?

  • Data outside the 50% average, up or down
  • Data inside the 25% and 75% data sets
  • Data from the 25% and 75% data, up and down
  • Data within the 50% of data

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