# 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. What is the null model?

- It is the alternative hypothesis that all means are significantly different from one another. It is the simplest model and known as the null model as it takes part of the null hypothesis
- It is the null hypothesis that all means are the same so can have the same mean as the overall mean. This is the simplest model we can use, called the null model because it is associated with the null hypothesis
- It is the hypothesis that all means are different, or at least one. It is the null model and the most complex.

## 3. What is it when we have a convention?

- When we round down
- When we leave the figure as it is
- When we do not know whether to round up or down as the are both equal as each other, but generally you round up.
- When we round up

## 4. Which statement is incorrect about determining t?

- The areas that lie outside the confidence interval lines are symmetrical and are known as the tabulated t-value which is also found in tables
- Decide what level of confidence you want
- The critical value of t is completely different from the tabulated t value
- Calculate your degrees of freedom by how many population parameters you have calculated

## 5. How do you calculate the error of variance?

- Error df= N-K to calculate the error variance of SSE/(N-K)
- The error is what is left unexplained after fitting the model. In the model, we have estimated one mean for each category, so:Number of parameters estimated = Kwhere K is the number of categories.
- SSEx(N-K)

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