Using the Chebyshev's Theorem and the Empirical Rule, it is found that it is not possible that around 70% of data lie within x-2s and x+2s.
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- Distributions are classified as symmetric or not symmetric.
- If the distribution is not symmetric, Chebyshev's Theorem is used, which states that <u>at least 75% of the measures are within 2 standard deviations of the mean</u>.
- If the distribution is symmetric, the Empirical Rule is used, which states that <u>around 95% of the measures are within 2 standard deviations of the mean</u>.
Thus, from the above bullet points, at least 75% of the measures are within x-2s and x+2s, which means that the percentage of 70% is too small.
A similar problem is given at brainly.com/question/23612895
Answer:
<em>First option 5%</em>
Step-by-step explanation:
<u>Normal Distribution</u>
Gauss Distribution is one of the most widely-used continuous probability distribution to characterize random events. The curve of the function is called the bell curve.
The standard Normal Distribution is a special case where the mean
and the standard deviation
. The values of the cumulative normal distribution cannot be computed by simple calculations, we must use tables of digital implementations integrated with tools like Excel or any online resource.
The entry for standard normal distribution is a parameter called the z-score, computed like shown below
The values provided in our problem are
Computing z results
By using any of the aforementioned resources, we compute the left-tail probability
We choose the first option 5%
Answer:
See below.
Step-by-step explanation:
The equation is this
A= 1/2bh
We plug in the equation and we get this
A= 1/2 (14)(24)
Let's do the math.
A= 1/2 (336)
A= 168
That's your answer. ✌️
I hope this helps!
Answer:
2/5=0.4h
Step-by-step explanation:
Use V=X/t
t=X/V
=50/125=2/5=0.4h
What is the slope of the line through the point A(-3,4) and B(2,-1)
Best answer
A -1
B 1
C -3
D - 1/3