The curve is nonsymmetrical and skewed to the right.
There is a different chi-square curve for each
.
The test statistic for any test is always greater than or equal to zero.
When
, the chi-square curve approximates the normal. For
~
the mean,
and the standard deviation,
.
Therefore,
~
, approximately.
The mean,
, is located just to the right of the peak.
In the next sections, you will learn about four different
applications of the Chi-Square Distribution. These hypothesis tests arealmost always right-tailed tests. In order to understand why the tests are
mostly right-tailed, you will need to look carefully at the actualdefinition of the test statistic. Think about the following while you
study the next four sections. If the expected and observed values are"far" apart, then the test statistic will be "large" and we will reject in
the right tail. The only way to obtain a test statistic very close tozero, would be if the observed and expected values are very, very close to
each other. A left-tailed test could be used to determine if the fit were"too good." A "too good" fit might occur if data had been manipulated or
invented. Think about the implications of right-tailed versus left-tailedhypothesis tests as you learn the applications of the Chi-Square
Distribution.
the study of living organisms and their interactions with one another and their environment.
Wine
discuss the biological phenomenon and provide pieces of evidence to show that it was responsible for the formation of eukaryotic organelles in an essay form
advantage of electronic microscope is easily and clearly while disadvantage is dangerous because its electronic. advantage of light microscope is savely and naturally by sun while disadvantage is not easily,means its not sharp and not clear
Abdullahi
cell theory state that every organisms composed of one or more cell,cell is the basic unit of life
Abdullahi
is like gone fail us
DENG
cells is the basic structure and functions of all living things
A scanning electron microscope (SEM) is ideal for situations requiring high-resolution imaging of surfaces. It is commonly used in materials science, biology, and geology to examine the topography and composition of samples at a nanoscale level. SEM is particularly useful for studying fine details,