Answer:
So then we will have at least 75% of the data within two deviations from the mean .
So then the interval would be (97.14, 99.5)
Explanation:
Previous concepts
Chebyshev’s rule is appropriate for any distribution. "Chebyshev’s inequality applies to all distributions, regardless of shape". And is useful since provides a "minimum percentage of the observations that lies within k standard deviations of the mean. "
If k = 2, at least 3/4 of the measurements lie within 2 standard deviations to within the mean.
And the general formula is (1-1/k^2) represent the fraction of the data within the mean .
Solution to the problem
For this case we want to find the percentage of data that would be at least within two deviations from the mean so for this case the value of k =2 and if we replace we got:
So then we will have at least 75% of the data within two deviations from the mean .
For the other part we have the mean and deviation provided the interval would be:
So then the interval would be (97.14, 99.5)
Answer:
570 J
Explanation:
im sorry im not sure about the rest but i hope this helps
Answer:
d = 146.2 m
increase
Explanation:
Using Energy Balance:
U_i + W = U_f
K_i + U_gi + W = K_f + U_fg
0 + m*g*h + F*d = 0.5*m*v_f^2
(900)*(9.81)*(50 sin (5)) + 400*50 = 0.5*900*v_f^2
v_f^2 = 129.944
v_f = 11.4 m/s at the bottom of the hill
U_i + W = U_f
K_i + U_gi + W = K_f + U_fg
0.5*m*v_i^2 - F*d = 0
0.5*900*129.944 = 400*d
d = 146.19 m
part b
Heavier car will gain greater momentum at the bottom of the hill and attain a higher velocity at the bottom; hence, the distance will increase.
Answer: increase
Answer:
D Magnesia
Explanation:
Ore particles Fe3O4 (magnetite) were found in the region called Magnesia.
Magnesia was an antic city in Asia, named after the inhabitants of Greek Magnesia.
Magnetite is used as an ore, abrasive, in paint production, electrophotography, as a micronutrient fertilizer, and as a high-density concrete aggregate.
Answer:
d) business intelligence
Explanation:
Business intelligence refers to applications and technologies that are used to gather, provide access to, and analyze data and information to support decision-making efforts. Business Intelligence uses technologies for the data analysis of business information to make strategic decision for enterprises. Common functions of business intelligence technologies include reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics.