The shape of the distribution, is symmetric, is the best description of statistics about scores.
<h3 /><h3>What is standard deviation ?</h3>
The standard deviation is the positive square root of the variance of this data set. Variance of a data set is the sum of squared differences of the data values from its mean to the total count of data values.
The given data in the problem is;
Mean = 78%
Standard deviation = 4%
Min = 64
Median = 78
Q1 = 72
Q3 = 84
Max = 99
The condition for the symmetric distribution is found as;
From the data we have;
So that , .
Hence, the condition of symmetry is followed.
To learn more about the symmetry, refer to the link;l
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128 = 8d, because the product calls for multiplication to be performed.
To identify the dependent variable in the testable, look out for the variable that is affected by the other. The variable that changes as a result of another variable is the dependent variable.
In a research study, there are typically two main variables that direct the scientific enquiry. They are:
- Dependent Variable, and
- Independent Variable
The independent variable causes a change in the dependent variable, i.e. the dependent variable receives the <em>effect</em>, the independent variable is the <em>cause </em>of the change.
It is very easy to identify the dependent variable in any testable hypothesis once you are able to pick out which variable is causing a change in the other.
For example, let's say the topic of a research is: <em>The Impact of Sunlight on Germination Rate of Seedlings.</em>
Here, <em>Sunlight </em>is the independent variable affecting <em>Germination Rate</em>.
The dependent variable here would be: <u><em>Germination Rate.</em></u>
Therefore, to identify the dependent variable in the testable, look out for the variable that is affected by the other. The variable that changes as a result of another variable is the dependent variable.
Learn more here:
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#1 is -32
#2 is -11
#3 is -5
#4 is 6
-2/12
(3/12 + 6/12) = 9/12 - 11/12 = -2/12
