# 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

## Other questions in this quiz

## 2. Which explanation about hypothesis' is incorrect?

- Alpha value is the critical level of probability, eg: 1 in 20
- TYPE II ERROR is accepting the null hypothesis when the the alternative explanation is true.
- Alternative hypothesis- there is a pattern
- Null hypothesis- there is no pattern
- Hypothesis- there is not pattern
- TYPE I ERROR is accepting an alternative (more complex) explanation when the null hypothesis is actually true.

## 3. Which statement is incorrect about the FITTED VALUE?

- The best our model can do is predict that any given rice grain’s length will not be the mean grain length of rice from the same country – as judged by the grains in our sample.
- Our model uses this information, as best it can, to produce a prediction (fitted value) for any rice grain
- These fitted values can be compared with the actual (or OBSERVED) values.
- These values come from the best fit procedure, the mean is the single value that best describes the data, it fits the data better than any other single value

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

- Sigma= sum, E= quantity and the numbers represent the reference number
- Sigma= sum, E= equation and the number are the values
- 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

## 5. Why is range a good statistic?

- Focus' on 50% of the data around the extreme values
- Extreme values are not ignored
- Focus' on 50% of the data around the mean
- Extreme values are ignored

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