Show Recommended textbook solutions
Statistical Techniques in Business and Economics15th EditionDouglas A. Lind, Samuel A. Wathen, William G. Marchal 1,236 solutions
The Practice of Statistics for AP4th EditionDaniel S. Yates, Daren S. Starnes, David Moore 2,491 solutions
Mathematical Statistics with Applications7th EditionDennis Wackerly, Richard L. Scheaffer, William Mendenhall 3,341 solutions
Statistics for Engineering and the Sciences, Volume 16th EditionTerry Sincich, William Mendenhall 682 solutions Watch the video for a brief overview of the difference between inferential statistics and descriptive
statistics: Descriptive Statistics vs Inferential Statistics Can’t see the video? Click here. Descriptive statistics describes data (for example, a chart or graph) and inferential statistics allows you to make predictions (“inferences”) from that data. With inferential statistics, you take data from samples and make generalizations about a population. For example, you might stand in a mall and ask a sample of 100 people if they like shopping at Sears. You could make a bar chart of yes or no answers (that would be descriptive statistics) or you could use your research (and inferential statistics) to reason that around 75-80% of the population (all shoppers in all malls) like shopping at Sears. There are two main areas of inferential statistics:
Let’s say you have some sample data about a potential new cancer drug. You could use descriptive statistics to describe your sample, including:
With inferential statistics you take that sample data from a small number of people and try to determine if the data can predict whether the drug will work for everyone (i.e. the population). There are various ways you can do this, from calculating a z-score (z-scores are a way to show where your data would lie in a normal distribution to post-hoc (advanced) testing. A hypothesis test can show where your data is placed on a distribution like this one.Inferential statistics use statistical models to help you compare your sample data to other samples or to previous research. Most research uses statistical models called the Generalized Linear model and include Student’s t-tests, ANOVA (Analysis of Variance), regression analysis and various other models that result in straight-line (“linear“) probabilities and results. Inferential Statistics ArticlesYou can find hundreds of inferential statistics articles and videos on this site and on our YouTube channel. The main indexes for inferential statistics articles are:
ReferencesGonick, L. The Cartoon Guide to Statistics. 1993. ---------------------------------------------------------------------------
Need help with a homework or test question? With Chegg Study, you can get step-by-step solutions to your questions from an expert in the field. Your first 30 minutes with a Chegg tutor is free! Comments? Need to post a correction? Please Contact Us. Which one of the following is inferential statistics?The most common methodologies in inferential statistics are hypothesis tests, confidence intervals, and regression analysis. Interestingly, these inferential methods can produce similar summary values as descriptive statistics, such as the mean and standard deviation.
What is inferential data in statistics?Descriptive statistics describes data (for example, a chart or graph) and inferential statistics allows you to make predictions (“inferences”) from that data. With inferential statistics, you take data from samples and make generalizations about a population.
What are the 4 types of inferential statistics?There are two main types of inferential statistics - hypothesis testing and regression analysis.
...
Inferential Statistics.. What is an example of a inferential statistics?Inferential statistics have two main uses: making estimates about populations (for example, the mean SAT score of all 11th graders in the US). testing hypotheses to draw conclusions about populations (for example, the relationship between SAT scores and family income).
|