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 statement is incorrect about how we measure reliability?

  • One of the characteristics affecting this measure is sample size, the bigger the sample size the more confident we are so there is less unreliability
  • Unreliability is not proportional to the sample standard deviation divided by the sample size
  • Unreliability= sqrt(variance/N) which is known as the Standard Error of the mean
  • The variability of the data, because the more variable the data is the less confident we are so there is more unreliability
  • We actual measure it through unreliability
  • The sample size is square rooted, and because standard deviation is the square root of variance so they are both square rooted.
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Other questions in this quiz

2. Which is not a difference between chart coloumns and histograms?

  • The both contains plotting points against axis y and z
  • There are no gaps between the columns in histograms but there are in column charts. This is a convention that you should follow.
  • The columns in a histogram do not show sample means, but counts of data within the specified ranges. Therefore they do not have error bars.

3. What is known as an outlier?

  • If a dataset is more than the IQR up or below
  • If a dataset is less than the IQR up or below
  • If a dataset is within the IQR
  • If a dataset is within 25% to 75% of the IQR

4. Which is not a rule of thumb?

  • That two means differ significantly if they are further apart than twice the larger standard error
  • That two standard deviations differ significantly if each one lies outside the CI of the other
  • That two means differ significantly if each mean lies outside the confidence interval of the other one.

5. Definition of variability

  • A value that lies within the values
  • All different values
  • A typical value
  • When cannot measure a value perfectly so automatically introduces uncertainty

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