Statistics Practice Test 2025
What is Variability in Statistics?
- Range - The difference between the highest and lowest numbers.
- Interquartile range - The range of a distribution's middle half.
- Variance - The average of squared deviations from the mean.
- Standard deviation - The average distance from the mean.
Demean Statistics
- degrade
- despise
- disparage
- belittle
- abase
- contemn
- debase
Elements of Statistics
- A population is a collection of all the units we're interested in examining (typically people, things, transactions, or events).
- A sample is a subset of a population's units.
- A measure of reliability is a statement (typically quantitative) concerning the degree of uncertainty associated with statistical inference.
- Statistical inference is an estimate, prediction, or other generalization about a population based on information contained in a sample.
- A variable is a trait or property of an individual experimental unit in the population.
- An experimental unit is a person, thing, transaction, or event about which data is collected.
What are limitations in Statistics?
- Statistics can't be used to variable data.
- Only someone with a thorough understanding of statistics can effectively manage statistical data.
- Quantitative data is the best fit for statistical approaches.
- Ignored Qualitative Aspect
- It does not tell the whole narrative about the phenomenon.
- Laws aren't always exact.
- Individual items are beyond the scope of statistics to explain.
- Statistics have the potential to be abused.
One variable vs Two variable Statistics
- Tally charts
- Frequency tables
- Bar graphs
- Histograms
- Pictographs
- Circle graphs
- Ordered pairs
- Scatter plots
- Two-column tables of values
Statistics Questions and Answers
- Statistics laws are, on average, correct. A single observation is not a statistic, because statistics are aggregates of facts. Statistics only deal with groups and aggregates.
- Statistical methods are most useful when dealing with numerical data.
- Statistics cannot be used on data that is heterogeneous.
- If statistical results are not collected, analyzed, and interpreted with adequate care, they may be misleading.
- Only someone with a thorough understanding of statistics can effectively manage statistical data.
- Statistical decisions may contain some inaccuracies. Inferential statistics, in particular, are prone to errors. We have no way of knowing whether or not an error has been made.