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The classic example is a Bell curve. IQ testing (using the WAIS, or Wechsler Adult Intelligence Scale) yields a peak at the 100-105 IQ mark, with a downward curve on either side of the peak - representing the higher and lower IQ scores, respectively.

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Why you prefer normal distribution over other distribution in statistics?

Why we prefer Normal Distribution over the other distributions in Statistics


What is a bell-shaped distribution in statistics?

It is called a normal distribution.


Give an example of symmetrical distribution in statistics?

example of symmetrical distribution


How does sampling distribution work in statistics?

Sampling distribution in statistics works by providing the probability distribution of a statistic based on a random sample. An example of this is figuring out the probability of running out of water on a camping trip.


Why you prefer normal distribution over other distributions in statistics?

we prefer normal distribution over other distribution in statistics because most of the data around us is continuous. So, for continuous data normal distribution is used.


Do inferential statistics provide descriptive information about a distribution of scores?

Not necessarily. Inferential statistics are statistics which are used in making inferences about some distribution. The only requirement is that they are based only on the set of observed values.


Is the normal distribution curve unimodal?

Yes, the normal distribution curve is unimodal, meaning it has a single peak or mode. This peak represents the mean, median, and mode of the distribution, which are all located at the center of the curve. The symmetry of the normal distribution around this central peak is a key characteristic, contributing to its widespread use in statistics and probability theory.


Why you prefer normal distribution for other?

It is probably the most widely used distribution in statistics. In addition, a lot of information exists on this distribution.


What is distribution is statistics?

The distribution for a variable is the set of value that the variable can take and the probabilities associated with those value.


Symmetrical distribution in statistics and an example?

mean deviation is minimum


What is the usefulness of normal distribution and its application in statistics?

i dont even no


What are examples of parametric statistical equations?

Parametric statistics is a branch of statistics that assumes data come from a type of probability distribution and makes inferences about the parameters of the distribution. See related link.