In: Statistics and Probability

How we can use descriptive statistics for quantitative data analysis? Describe detailed calculation with an example of survey data.

Answer:- **Descriptive statistics** are
**used** to describe the basic features of the data in
a **study**. They provide simple summaries about the
sample and the measures. Together with simple graphics
**analysis**, they form the basis of virtually every
**quantitative analysis** of data

Descriptive statistics are typically distinguished from inferential statistics. With descriptive statistic you are simply describing what is / what the data shows. With inferential statistics, you are trying to reach conclusions that extend beyond the immediate data is alone. For instance we use inferential statistics to try to infer from the sample data what the population might think. we use inferential statistics to make judgments of the probability that an observed difference between groups is a dependable one or one that might have happened by chance in this study. Thus we use inferential statistics to make inferences from our data to more general conditions; we use descriptive statistics simply to describe what’s going on in data.

Example :-

the sum of the following data set is 20: (2, 3, 4, 5, 6). The mean is 4 (20/5). The mode of a data set is the value appearing most often, and the median is the figure situated in the middle of the data set. It is the figure separating the higher figures from the lower figures within a data set. However, there are less-common types of descriptive statistics that are still very important.

A student's grade point average (GPA), for example, provides a good understanding of descriptive statistics. The idea of a GPA is that it takes data points from a wide range of exams, classes, and grades, and averages them together to provide a general understanding of a student's overall academic abilities. A student's personal GPA reflects his mean academic performance.

In this exercise, we will look at descriptive statistics and how
to explore and summarize data sets. For this, we use the Heart
Disease dataset from the UCI data repository. This dataset consists
of 4 small datasets of people with heart disease admitted to 4
hospitals.
For now, we only work with the file. this data consists of 271
instances with 7 attributes. The attributes are described as
below:
Age: age in years
sex: 1 = male; 0 = female...

Descriptive statistics is the branch of quantitative analysis
that uses numerical metrics and graphs and charts to describe a
data set so that we can realize the information in that data. There
are a wide variety of these numerical and graphical tools measuring
what is called central tendency, dispersion and shape. (See my
helps aids post for the range of these tools.) Describe and discuss
why there are so many of these metrics. Do you use any of these in...

List three types of descriptive -statistics-
commonly used in research. Why do we use descriptive statistics in
both descriptive methods research and experimental methods
research? Why are descriptive statistics so important in
quantitative research? Could we do quantitative experimental
research without descriptive statistics? If so or not, why or how?
What are your thoughts given what we are learning?

Share what you learned about descriptive analysis (statistics),
inferential analysis (statistics), and qualitative analysis of
data; include something that you learned that was interesting to
you and your thoughts on why data analysis is necessary for
discovering credible findings for nursing. Compare clinical
significance and statistical significance; include which one is
more meaningful to you when considering application of findings to
nursing practice.

Can Western blotting be used as a quantitative technique? How
could we use Western analysis to determine the relative change in a
protein's expression levels between two treatments? What would we
need to be able to determine the absolute level of a protein (i.e.
ng/mg of total protein)?

Describe the differences with one example each between descriptive
statistics and inferential statistics with 50 or fewer words

There are a number of descriptive statistics that could be used
to describe data from a study. Name and define at least 5

Identify the calculation for vertical and horizontal analysis
and explain how we use the information and what the calculations
mean.

describe horizontal and vertical analysis, and ratio analysis.
How can we use these techniques to learn more about the
company?

In business management, how important is it to learn and use
statistics and data analysis to analyze trends, patterns, and
relationships for making data-driven managerial decisions?

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