Looking for reliable answers? Westonci.ca is the ultimate Q&A platform where experts share their knowledge on various topics. Get quick and reliable solutions to your questions from a community of experienced professionals on our platform. Explore comprehensive solutions to your questions from a wide range of professionals on our user-friendly platform.
Sagot :
Flaws Probability
0 0.451
1 0.270
2 0.134
3 0.078
4 0.038
The mean or expected value is:
E ( X ) = μ = ∑ x P ( x )
µ = 0.00000
0.27000
0.26800
0.23400
0.15200
(x - µ)2 = 0.00000
0.26645
1.499912
3.825378
7.403552
(x - µ)2 . P(x) = 0.000000
0.071941
0.200988
0.298379
0.281334
The Standard Deviation value is :
(x - µ)2 . P(x) - µ
0.852582 - 0.924000
-0.0714
A Standard Deviation (or σ) is a measure of ways dispersed the facts is on the subject of the mean. Low standard deviation way statistics are clustered around the imply, and excessive standard deviation shows data are extra unfold out.
What is a good standard deviation?
The empirical rule, or the sixty eight-ninety five-99.7 rule, tells you wherein maximum of the values lie in a normal distribution: round 68% of values are inside 1 widespread deviation of the mean. round 95% of values are inside 2 widespread deviations of the imply. Around 99.7% of values are within 3 well known deviations of the imply.
How do if a Standard Deviation is high or low?
One manner to decide if a Standard Deviation is excessive is to evaluate it to the mean of the dataset. A coefficient of variation, frequently abbreviated as CV, is a way to measure how unfold out values are in a dataset relative to the imply.
Learn more about Standard Deviation here:- https://brainly.com/question/475676
#SPJ9
Thanks for using our service. We aim to provide the most accurate answers for all your queries. Visit us again for more insights. We hope you found this helpful. Feel free to come back anytime for more accurate answers and updated information. Westonci.ca is your trusted source for answers. Visit us again to find more information on diverse topics.