Docsity
Docsity

Prepare for your exams
Prepare for your exams

Study with the several resources on Docsity


Earn points to download
Earn points to download

Earn points by helping other students or get them with a premium plan


Guidelines and tips
Guidelines and tips

Determining Normal Distribution of Variables: Methods and Techniques, Assignments of Mathematics

Various methods for determining whether a variable follows a normal distribution. It delves into the use of histograms, boxplots, and qq plots to visualize and analyze data distribution. A clear explanation of each method and its effectiveness in identifying normal distribution patterns.

Typology: Assignments

2023/2024

Available from 12/18/2024

Milestonee
Milestonee 🇺🇸

4.3

(23)

3.5K documents

1 / 2

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
QUESTION:
When trying to determine probabilities, one must first assess whether the variable
would have a normal distribution. Using the tools from this course, what are some
methods that could be used to determine whether a variable has a normal
distribution?
CHIOMA MICHAELSON
SundayJan 17 at 9:23pm
Manage Discussion Entry
Hello Dr. Phan and class
Many methods exist for testing whether a variable has a normal distribution,
and they include:
1) Histogram: The histogram shows the distribution of a variable. It gives
the frequency of occurrence per value in the dataset. It gives the visual of
the data distribution.
2) Boxplot: Helps visualize the distribution of multiple variables at the same
time. It plots the 5-number summary of a variable: minimum, first quartile,
median, third quartile and maximum.
3) QQ Plot: QQ stands for Quantile vs Quantile Plot. It plots theoretical
quantiles against the actual quantiles of the variable. The QQ Plot shows the
deviation of a normal distribution much better than in a Histogram or Box
Plot.
pf2

Partial preview of the text

Download Determining Normal Distribution of Variables: Methods and Techniques and more Assignments Mathematics in PDF only on Docsity!

QUESTION:

When trying to determine probabilities, one must first assess whether the variable would have a normal distribution. Using the tools from this course, what are some methods that could be used to determine whether a variable has a normal distribution?

CHIOMA MICHAELSON

SundayJan 17 at 9:23pm Manage Discussion Entry Hello Dr. Phan and class Many methods exist for testing whether a variable has a normal distribution, and they include:

  1. Histogram: The histogram shows the distribution of a variable. It gives the frequency of occurrence per value in the dataset. It gives the visual of the data distribution.
  2. Boxplot: Helps visualize the distribution of multiple variables at the same time. It plots the 5-number summary of a variable: minimum, first quartile, median, third quartile and maximum.
  3. QQ Plot: QQ stands for Quantile vs Quantile Plot. It plots theoretical quantiles against the actual quantiles of the variable. The QQ Plot shows the deviation of a normal distribution much better than in a Histogram or Box Plot.

CARLA ORTIZ

SundayJan 17 at 7:43pm Manage Discussion Entry Hello Professor & Class, The boxplot and normal probability plot are some methods that could be used to determine whether a variable has normal distribution due to if there no outlier is present in boxplot conclude the data follow normal distribution and the data fall around straight line in normal probability plot conclude the data follow normal distribution. The histogram, normal probability plot and boxplot methods could be used to determine whether a variable has a normal distribution. The symmetric shape of histogram conclude the data are normally distributed, the data fall around the straight line in normal probability plot follow normal distribution and there is no outlier present and box and whisker equal to the median in boxplot conclude data follow normal distribution.