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Statistics Module 1 Portage Learning 2023 A+ GUIDE(PROBLEMS SOLVED 100% CORRECT)

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Statistics Module 1 Portage Learning 2023 A+ GUIDE(PROBLEMS SOLVED 100% CORRECT)

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Statistics Module 1 Portage Learning 2023 A+
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Statistics Module 1 Portage Learning 2023 A+
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Statistics Module 1 Portage Learning 2023 A+

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Uploaded on
December 9, 2023
Number of pages
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Written in
2023/2024
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Statistics Module 1 Portage Learning 2023 A+
GUIDE
Score for this quiz: 29 out of 30
Submitted 2023 May 7 at
3:41pm
This attempt took 32 minutes.

Question 1
pts
You may find the following files helpful throughout the exam:
Statistics Equation Sheet
(Links to an external site.)

Define each of the following:
a) Data.

b) Element.

c) Observation.
Your Answer:
Data: items which facts are gathered then review or analyzed.
Those items could be identified as people or geographic areas.
Clasification of Data: Qualitative which is the ilustration of an
element. This one could be numerical and nonnumerical.
Quantitative: This one is just a numerical part and it is Just where
a mathematical problem can be performed.
Element: It is a single character of a data set to which variable
are applied.
Observation: are all the details adquired for each element in a
study.



a) Data are things about which information can be collected
and analyzed.

, b) The element of a data set is simply the individual and
unique entry in a data set about which data has been
collected, analyzed and presented in the same manner.

c) An observation is all the information collected for each
element in a study.



Question 2
pts
You may find the following files helpful throughout the exam:
Statistics Equation Sheet
(Links to an external site.)

Explain outliers.
Your Answer:
Outliers are scientific skills that help us to identify when data is
out of line either because it is too big or to small in a range of
numbers.
Example: is when in a graphical or tabular or even in a 3D pie
chart numbers were switched or numbers were misplaced.
Also if a questionarie: questions has been errouneously
answered.
Scientifc or reseacher need to be able to identify those data error
in the case study.


An outlier is a value which is out of place compared to the
other values (for example, it may be too large or too small
compared to the other values).
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