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PUB 550 Topic 3 DQ 2

DQ 2 : Compare and contrast descriptive and inferential statistics.

Compare and contrast descriptive and inferential statistics. Discuss why both descriptive and
inferential statistics are used in the analysis of public health data.

REPLY TO DISCUSSION

DH
Danielle Henderson
Jul 6, 2022, 2:14 PM
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End of Week 3 Announcement!
Class, today is the last day of week 3!
Your "Introduction to SPSS" assignment" is due today.
If you have any questions, please reply to this post! In subsequent weeks, we will be learning
more about specific statistical tests, and conducting these tests in spss and interpreting the
results.
Have a wonderful day!
-Professor Danielle

REPLY

LM
Leifitele Mamea
Jul 6, 2022, 11:36 PM
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Descriptive Statistics is a branch of statistics that indicates to provides information and defines the
data briefly. Descriptive Statistics refers to a discipline that quantitatively describes the data.
Descriptive statistics describe only particular people or items that are measured. It is applied
widely for small projects but the results cannot be extrapolated to a large population. In descriptive
statistics, we can take a sample according to our interests and analyze data to present its
properties. Descriptive statistics are used to describe a particular situation. It gives details of the
data that is recognized and summarizes the data of the sample. Descriptive statistics mostly use
statistical measures like Central tendency, dispersion, and skewness.
Inferential Statistics is a type of statistics that defines data of a larger population by taking a small
portion of that population and drawing a conclusion from it. Inferential Statistics refers to a

discipline that provides information and draws a conclusion about a large population from the
sample of it. Inferential statistics describe data about the population entirely. It is more applicable
for larger data set projects. In Inferential statistics, a sample is done through different forms of
sampling. Inferential statistics are used to clarify the probabilities of occurrence of an event. It
attempts to reach the conclusion to learn about the population that extends beyond the available
data. Common statistical tools of inferential statistics are hypothesis Tests, confidence intervals,
and regression analysis.

References
Corty, E. W. (2016). Using and interpreting statistics (3rd ed.). Worth Publishers.
Wagle, K. (2020, November 30). Descriptive statistics vs inferential statistics- 8 differences. Public
Health Notes. Retrieved July 7, 2022, from https://www.publichealthnotes.com/descriptive-
statistics-vs-inferential-statistics-8-differences/

REPLY

FP
Francys Perez
Jul 5, 2022, 9:39 PM
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Replies to Danielle Henderson
Brief descriptive coefficients, known as descriptive statistics, are used to sum up a specific data
set, which may be a sample of a population or a representation of the whole population.
Measurements of central tendency and measures of variable spread make up descriptive
statistics.
When comparing the descriptive statistics with the inferential statistics, we can see that they are
self-explanatory since when we refer to the descriptive one, it allows us to see how the information
that has already been collected is explained in the forms of graphic tables. If we look for what
these two have in common, we can say that they both use information already given. Besides that,
inferential statistics is based on reaching conclusions about the population that is in your database
and outside of it.

Another difference is that descriptive is that it calculates the definitive measurement, while in
inferential it observes the margin of error of the investigations already carried out. The reason why
they are important for public health is that it helps to analyze situations and investigate further in
order to identify solutions or conclusions.

Reference
Descriptive and Inferential Statistics. (2018). Retrieved from.
https://statistics.laerd.com/statistical-guides/descriptive-inferential-statistics-faqs.php

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