1.it is bell shaped.2.m.d=0.7979 of s.d
3.total area under the normal curve is equal to 1.
A distribution board which has 7 segments , one for Main incomer, three as sub incomer for each phase and three for singlephase outgoing is called a 7 segment DB
The binomial distribution.
1. Fat helps obtain some of the body's energy. 2. Fat helps surround and protect vulnerable organs in the body. 3. Fat helps keep warmth for the body during cold temperatures. HOPE THIS ANSWERS YOUR QUESTION
hypergeometric distribution f(k;N,n,m) = f(3;52,4,3)
A probability distribution must have a well defined domain - that is, the set of possible outcomes.For each possible outcome, there must be a non-negative value associated - the probability of that outcome.The sum of the probabilities, over all possible outcomes, must be 1.
three normal distinibution body fat
Equality.
1.nothing 2.nothing 3.nothing
Core, Distribution, and Access.
When we say a distribution is normal, we refer to a statistical distribution that follows a bell-shaped curve, characterized by its symmetry about the mean. In a normal distribution, approximately 68% of the data falls within one standard deviation of the mean, 95% within two standard deviations, and 99.7% within three standard deviations. This distribution is defined by its mean and standard deviation, and it is widely used in statistics due to the Central Limit Theorem, which states that the sum of many independent random variables tends toward a normal distribution, regardless of the original distribution.
The three properties of distribution in geography are density, concentration, and pattern. Density refers to the number of a particular phenomenon within a given area. Concentration describes how closely packed or dispersed a phenomenon is in a given area. Pattern refers to the spatial arrangement of the distribution.
When describing a distribution, it is important to mention its shape (symmetric, skewed, etc.), center (mean, median), and spread (range, standard deviation). These three characteristics provide a comprehensive overview of the distribution's properties.
A normal distribution is a symmetric, bell-shaped curve characterized by its mean and standard deviation. Approximately 68% of the data falls within one standard deviation from the mean, about 95% within two standard deviations, and around 99.7% within three standard deviations, commonly referred to as the empirical rule. Additionally, the mean, median, and mode of a normal distribution are all equal and located at the center of the distribution. This property makes the normal distribution fundamental in statistics and probability theory.
routing between VLANs
The three types of spatial distribution are uniform distribution (evenly spaced), random distribution (no pattern), and clustered distribution (grouped together).
Acquisition
in a normal distribution, the mean plus or minus one standard deviation covers 68.2% of the data. If you use two standard deviations, then you will cover approx. 95.5%, and three will earn you 99.7% coverage