Figure
We need it
Mark brainliest please
Hope this helps
According to Sturge's rule, number of classes or bins recommended to construct a frequency distribution is k ≈ 7
Sturge's Rule: There are no hard and fast guidelines for the size of a class interval or bin when building a frequency distribution table. However, Sturge's rule offers advice on how many intervals one can make if one is genuinely unable to choose a class width. Sturge's rule advises that the class interval number be for a set of n observations.
Given,
n = 66
We know that,
According to Sturge's rule, the optimal number of class intervals can be determined by using the equation:
![k=1+log_{2} n](https://tex.z-dn.net/?f=k%3D1%2Blog_%7B2%7D%20n)
Here, n is equal to 66 and by substituting the value to the equation we get:
![k=1+log_{2} (66)](https://tex.z-dn.net/?f=k%3D1%2Blog_%7B2%7D%20%2866%29)
k = 7.0444
k ≈ 7
Learn more about Sturge's rule here: brainly.com/question/28184369
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I think the correct answer is ( 2, 3 )
Answer:
Step-by-step explanation:
Null hypothesis should be: The average woman's leg hair grows an eighth of an inch per month: u = eighth of an inch
Alternative hypothesis: The average woman's leg hair growth is not an eighth of an inch per month after treatment: u ≠ eighth of an inch
This test after carrying out its treatment will be able to determine if the drug was effective or not
#1:Proportional Medians Theorem
#2:BD/FH = CB/GF
#3: 24/16 27/x
So the first ratio is 3/2 because both are divisible by 8. the ratio stays 3/2. 3*9=27. so 2*9=18
x=18
#4: x = 8.5
#5: x = 68
Hope this helps!!