Unit One Flashcards
Descriptive Statistics
Using only the information at hand to describe the selected group of individuals.
Inferential Statistics
Using the information at hand to make a larger, more general statement about the entire population of individuals.
What is the importance of statistics? What are the two types of statistics?
Statistics allows us to synthesize the information we get from the world around us.
There are two types of statistics.
Descriptive statistics describe information gathered at a particular point.
Inferential statistics gather information and then makes a generalization or prediction about the population.
Statistical analysis
All the way s of collecting, analyzing, and interpreting the data.
Statistical Study
A way to collect information from individuals
Statistics
The study of collecting, analyzing, interpreting, and presenting information.
Data
Data is the pieces of information that we use in order to answer some statistical question. It could be a number or an attribute.
But ultimately its the pieces of information that we use to get a more accurate picture of a scenario.
Available data.
Available data is data that has already been collected by somebody.
Official Textbook Definition:
Data collected by some other entity- a government or private company.
Who collects data?
- Government organizations
-Polling Organizations
-New Sources
-Government Entities
-Private Entities.
Raw Data
Un organized, unprocessed, and not summarized. Typically, this is data that is not already available.
Bias
The systematic favoring of certain outcomes in a study. There are many ways to introduce bias into a study.
Three common questions when collecting data are:
- Who will receive this data?
- For whom is the data intended?
- How will you and other gain access to it?
Why is collecting data and the accuracy of this data so important?
Collecting data is important because it’s the source of statistics. Think about data as the raw means of creating something useful. If you collect your data well, the statistics are going to be accurate. If you collect your data poorly, then your data is poor. There’s no rescuing that.
You can’t make useful statistics out of poor data. Thinking critically will help you determine which type of data should be used for your purposes.
Qualitative/Categorial Data
Data whose values are the names of categories. These can be numbers, but not the kinds of numbers with which it makes sense to do any numerical operations.
Two areas that qualitive data can be divided into.
- Nominal Measurements
- Ordinal Measurements.