degrees of freedom rejection point chi-square distribution table p value E E The number of classes in a data set that can be assigned to a statistical distribution - 1. A reference chart of p values related to the percentage distribution of a chi-square test outcome in relation to dof. Statistical procedure comparing expected values of an outcome to observed values. A proposed explanation of an event based on initial investigation. Mendelian inheritance patterns that are cor X Open in Rea
degrees of freedom rejection point chi-square distribution table p value E E The number of classes in a data set that can be assigned to a statistical distribution - 1. A reference chart of p values related to the percentage distribution of a chi-square test outcome in relation to dof. Statistical procedure comparing expected values of an outcome to observed values. A proposed explanation of an event based on initial investigation. Mendelian inheritance patterns that are cor X Open in Rea
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Match the following to the descriptions provided.

Transcribed Image Text:degrees of freedom
rejection point
chi-square distribution table
p value
Independent assortment
III
||||
III
III
III
The number of classes in a data set that can be
assigned to a statistical distribution - 1.
A reference chart of p values related to the
percentage distribution of a chi-square test outcome
in relation to dof.
Statistical procedure comparing expected values of
an outcome to observed values.
A proposed explanation of an event based on initial
investigation.
Mendelian inheritance patterns that are cor
the null hypothesis for crossing problems in genetic
Open in Rea

Transcribed Image Text:hypothesis
HO
H1
chi-square
goodness-of-fit
III
III
III
III
|||
A statistically relevant value measuring the
probability of obtaining an observed result similar to
that expected.
How closely expected values accord with observed
values of an outcome.
Conventional null hypothesis based on no difference
between observed and expected outcome.
A p value arbitrarily set at below 0.05.
An alternative hypothesis if the HO is falsific
Open in Read
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