0
Add your answer:
Earn +20 pts
Are inferential statistics different from descriptive statistics?
Yes. Descriptive statistics are methods of organizing, summarizing, and presenting data in an informative way. Inferential Statistics (also called statistical inference) the methods used to estimate a property of a population on the basis of a sample.
What are the features of descriptive research?
A major feature of descriptive research studies is that - quantitative representation of behavior, opinions, or phenomenon. Representative samples or entire populations so draw conclusions, specify particular characteristics they wish to study in advance of data collection
Why wont a sample statistics change from sample to sample?
The sample mean may differ from the population mean, especially for small samples.
Why are random samples so important in Statistics?
Statistics is the science of making effective use of numerical data relating to groups of individuals or experiments sampling is an important to statistics because It deals with all aspects of this including not only the collection analysis and interpretation of such data but also the planning of the collection of data -SDOT15DELEON
3 important principles in making generalizations about populations on the basis of samples?
1. To describe the important characteristics of the scientific approach and show how it promotes critical thinking. 2. To demonstrate the limits of everyday intuition and common sense. 3. To show how psychologists use three basic research methods: description, correlation, and experimentation. 4. To explain how psychologists use statistics in their research. are the most important principles in making generalizations about populations on the basis of samples.
What is descriptive data?
Descriptive data refers to information that summarizes the characteristics of a dataset, providing insights into its central tendencies, variability, and distribution. This type of data is used to describe the basic features of the data in a clear and understandable way, without making inferences or predictions.
Deffirence of discriptive statistics to inferential statistics?
Descriptive statistics is the term given to the analysis of data that helps describe, show, or summarize data in a meaningful way such that patterns might emerge from the data. Inferential statistics are techniques that allow us to use population samples to make generalizations about the populations from which the samples were drawn.
Are inferential statistics different from descriptive statistics?
Yes. Descriptive statistics are methods of organizing, summarizing, and presenting data in an informative way. Inferential Statistics (also called statistical inference) the methods used to estimate a property of a population on the basis of a sample.
What is the descriptive measure of samples?
Statistic
What is demograpghy?
It's the study of human populations and characteristics of the people in a given population. It involves answering question like "What are the numbers of people under three years old in the U.S.?" People's ages, ethnic backgrounds, and other such basic information. it's descriptive statistics (as opposed to inferential statistics, which draws conclusions about populations from samples of those populations.
What are the features of descriptive research?
A major feature of descriptive research studies is that - quantitative representation of behavior, opinions, or phenomenon. Representative samples or entire populations so draw conclusions, specify particular characteristics they wish to study in advance of data collection
Does descriptive statistics means parametric statistics?
No. Descriptive statistics are those that characterise samples without attempting to draw conclusions. The purpose of them is to help investigators to form an understanding of what the data might be capable of telling them. Descriptive statistics include graphs as well as measures of location, scale, correlation, and so on. Parametric statistics are those that are based on probabilistic models (ie, mathematical models involving probability) that involve parameters. For instance, an investigator might assume that her results have come from a population that is normally distributed with a certain mean and standard deviation; this would be a parametric model. She could estimate this pair of parameters, the mean and standard deviation, using parametric statistics, or test hypotheses about them, again using parametric statistics. In either case the parametric statistics she uses would be based on the parametric mathematical model she has chosen for her data.
What are three reasons that samples are used in statistics?
5
Three reasons why samples are used in statistics?
There are a few reasons why samples are used in statistics. One reason is that the whole population cannot be used and a sample is a good representation of the whole.
Why do people often work with samples in statistics?
to save money
What is inferential data?
There is no inferential data. There is inferential statistics which from samples, you infer or draw a conclusion about the population. Hypothesis testing is an example of inferential statistics.
Do samples have the same characteristics of population?
If they are randomly drawn and large enough.
