# 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

HideShow resource information

- Created by: Sophie
- Created on: 04-01-15 13:38

## Other questions in this quiz

## 2. What is interval data?

- Where there are equal intervals of data on a continuous numerical scale, eg: farenheit
- Where you allocate a score to a category and it indicates a group of data
- Where there are equal intervals between the data and an absolute zero, eg: time
- 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

## 3. ?Which statement is incorrect about Levene's Test?

- It does the same thing (compares variances) but is more robust because it does not require normality of the data being tested.
- Levene’s test is commonly used for the purpose of comparing variances in t-tests. For example, SPSS automatically does this test when you do a two-sample t-test.
- However, Levene's test can be much less powerful at detecting differences in variance.
- There is a variant of the T-test
- There is a variant of the F-test

## 4. Which statement is incorrect about reporting CI?

- The mean was 6.75 mm at 95% CI and N=100
- All sample statistics have confidence intervals and a statistic such as a sample mean is only meaningful when reported with its CI (or SD or SE, depending on context).
- 6.75 mm is less than mean length of rice grains in the sample is less than 7.15 mm (95% CI, N = 100).
- The mean length of rice grains in the sample was 6.95 mm (95% CI: lower limit = 6.75 mm, upper limit = 7.15 mm, N = 100).
- Without this information we cannot sensibly interpret the statistic. Note that it is good practice to report the sample size, for similar reasons.
- The mean length of rice grains in the sample was 6.95 ± 0.20 mm (95% CI, N = 100).

## 5. What is the COEFFICIENT OF DETERMINATION?

- SSMxSST
- 1) Coefficient of determination = (150.57 – 118.14) ÷ 150.57 = 0.21 aka 21%. SST-SSE=SSM
- 2) In general, we can account for anywhere between 0% and 100% of the variation with a model.
- Proportion explained
- SSM/SST (sum of model squares divided by the overall mean)

## Comments

No comments have yet been made