Description v inferential statistics
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Review my ability to define and use the various vocabulary words associated with statistics. The results will be an understanding of the impact of continued statistical analyses in our everyday lives.
For example,
"Why do students choose to take online classes instead of classes in a traditional classroom?" or "What is the most watched television show at 8 p.m. by low-income families?" These types of questions allow companies and agencies to make good sound decisions based on mathematical models and scientific outcomes and not on intuition or feelings.
1. In your own words, explain the difference between "descriptive statistics" and "inferential statistics." Do not just give definitions.
2. In your own words, define the four different sampling techniques.
3. Develop your own hypothesis about a situation of interest, for example: "attending Phoenix University requires that I spend at least 10% of my gross income on academic related expenses per year."
4. Select one of the four sampling techniques and give a detailed design of how you would gather sampling data to answer your hypothesis.
5. Select a second sampling technique for the same hypothesis and give a second detailed design of how you would gather sampling data. Thank you.
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The response addresses the queries posted in 822 words with references
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The response addresses the queries posted in 822 words with references
//As per the directions, we will write about the difference between descriptive and inferential statistics. It will provide assistance in analyzing the differences between the approaches taken into account for the analysis of the data. //
Difference between Descriptive and Inferential Statistics:
Descriptive statistics is basically used for bringing out the pattern of data on the basis of the quantitative analysis of data. It is helpful in summarizing the data, considered for study, in a meaningful and interpretable form. Descriptive statistics provide a strong base for the summarization and description of the population data into a meaningful way, so that visualization of data can be made understandable. It is not helpful in making conclusion regarding the defined hypothesis. Conclusions can be made from the description of the sample considered for the study (Williamson & Williamson, 2005).
Inferential statistics is mainly used to make out inference and conclusions on the basis of the analysis of the quantitative data. It is helpful in making interpretations regarding the population from the analysis of the sample data. Along with this, it also provides an effective base for making predictions about the ...
Education
- MBA (IP), International Center for Internationa Business
- BBA, University of Rajasthan
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