Question

I need the same answer but change some words

The value used is mean the estimator. The average of the population can be estimated punctually by the mean of the sample: .
The proportion of the population can be estimated punctually by the proportion of the sample: . The standard deviation of the population can be estimated punctually by the standard deviation of the sample, although there are better estimators: . Point of estimate for mean calculated is 36.4.
The normal distribution is the continuous distribution that is most commonly used in statistics. Many continuous variables common in the business world have distributions that closely resemble the normal distribution. The normal distribution serves to approach different distributions of discrete probability, such as the binomial distribution and the Poisson distribution. The normal distribution provides the basis for classical inferential statistics by its relation to the central limit theorem. In the normal distribution, one can calculate the probability that several values ??will occur within certain ranges or intervals. However, the exact probability of a particular value within a continuous distribution, such as the normal distribution, is zero.
The standard normal distribution, or typified or reduced, is that which has the mean value zero, ? = 0, and by standard deviation the unit, ? = 1. The probability of the variable X will depend on the area of ??the enclosure shaded.

Answer 1

Mean is used as the value estimator. Average population can be estimated by the mean of the sample: . Proportion of the population can be estimated by the proportion of the sample: . Although there are better estimators to calculate the standard deviation of the population it is estimated by the standard deviation of the sample: . Point of estimate for mean calculated is 36.4.

The normal distribution is the continuous distribution that is commonly used in statistics, which as closely resemblance to the continuous variables common in the business world. The normal distribution serves to approach different distributions of discrete probability, such as the binomial distribution and the Poisson distribution. The normal distribution provides the basis for classical inferential statistics by its relation to the central limit theorem. One can calculate the probability of different values which occur within certain ranges or intervals. However, the exact probability of a particular value within a continuous distribution, such as the normal distribution, is zero.

What is the standard normal distribution, typified or reduced, has the mean value zero and unit? The probability of the variable X will depends on the shaded area.