It is when you divide an object or number into two equal numbers/segments. For example, cutting a pizza in half will give you two congruent parts. If a human was symmetrical, and you sliced them down the middle you would have two congruent parts.
a box
Entering a classroom and then engaging into learning.
can you give me an example of an 8 sided object
give the example of general statement were no streetrees
Both sides of the shape were symmetrical.
example from your business or industry that seems to reflect the normal distribution
Can you give me an example of declamation about child abuse and neglect in japan today.
First, I will give an example, similar to your question: -11000 -9000 +44000 mean = 8,000 and median = -9000. Symmetrical distributions after infinite sampling will show no difference in mean and median. Large differences are possible with small sample sizes even with symmetrical distributions. If the sample is large and the difference is large, this infers that the distribution is asymmetrical. The skewness of the distribution can be calculated.
to help determine and give insight into the data colleced.
Water is a polar molecule with an unequal distribution of charges that give it a slight positive and negative end. Methane is nonpolar because it has a symmetrical distribution of charges. Sodium chloride is an ionic compound consisting of positively charged sodium ions and negatively charged chloride ions. Carbon dioxide is nonpolar due to its linear shape and symmetrical distribution of charges.
One social behavior that can produce an even distribution is the human need to find someone that there in common with
Words that give evidence like statistics and facts
In math, skewness is a measure of the asymmetry of a probability distribution. A distribution is considered right-skewed if the tail on the right side is longer or fatter than the tail on the left side, and vice versa for left-skewed distributions. Skewness can give insight into the shape of a dataset and how it deviates from a symmetrical distribution like the normal distribution.
Normal distribution is not "better." It is, perhaps, simpler to work with. All introductory text books and courses on statistics cover it in great detail, its properties are well-known, and there are lots of tables you can refer to. But if the real-world situation you are trying to model does not resemble a normal distribution, then it is very bad to try to use the properties of a normal distribution or to try to force a normal distribution on your data. Doing so will give you inaccurate answers.
Statistics is used in a variety of ways in the medical field. For example, when a patient receives a drug to treat some ailment, the doctor can give the statistics of the percentage of people that experienced relief or side effects etc. From a biological perspective, the first example that comes to my mind is when repeating an experiment, the deviation from the last attempt against the current is a statistic.
For an AB3 molecule to be nonpolar, the central atom (A) must have the same atoms bonded to it (all atoms must be identical, like in BF3). This results in a symmetrical distribution of charge and no net dipole moment, making the molecule nonpolar.