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. What does the sigma, E and numbers mean in a summation equation?

  • Sigma= sum, E= equal and the number represents how many to multiple by
  • Sigma= sum, E= algebra and the number shows the ranking of data
  • Sigma= sum, E= quantity and the numbers represent the reference number
  • Sigma= sum, E= equation and the number are the values
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Other questions in this quiz

2. What is nominal data?

  • Where you rank items that you measure depending on which has a more or less of an influence that we want to measure. Intervals are not necessarily equal and there is not true zero point
  • Where you allocate a score to a category and it indicates a group of data
  • Where there are equal intervals of data on a continuous numerical scale, eg: farenheit
  • Where there are equal intervals between the data and an absolute zero, eg: time

3. Which statistic is more sensitive to extreme values?

  • The mode and not the mean or median
  • The mean and not the median or mode
  • The median and not the range or mode
  • The range and not the median or mode

4. Which is not a characteristic of a histogram?

  • The legend that shows the sample size, mean and standard deviation
  • The x axis shows the bins of nominal data
  • The y axis shows the bins of nominal data
  • The y axis shows how many data points fall in each bin

5. Which statement is incorrect about confidence intervals?

  • The 95% is more wider than the 99%
  • As the range/interval gets wider we get more confident that the real values lie within the range
  • There are many different confidence intervals where they have own level of confidence attached
  • 99%
  • 95%

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