In order to meet the sample assumption associated with parametric statistics, the number of subjects needed depends on the specific statistical test being used. Generally, the rule of thumb is to have a minimum of 30 subjects in each group being compared.
However, this number may increase or decrease depending on factors such as the effect size, variability in the data, and the statistical power desired.
It is important to have enough subjects so that the data is normally distributed, and there is enough content loaded to meet the assumptions of the statistical test.
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The given function is
f(x)= log 10 x
Taking base as 10
→→Using the property of, log a b= log a + log b
→y = 1 + as,
we have to approximate the value of y in the equation
→10 y = 6
→y=
= 1 +
=
x= ==0.398
Solving graphically,
we get , x= 0.398 for , y= =.6