Question

2. Explain by giving example of each kind
i) Descriptive Statistics
ii) Inferential Statistics​

Answer 1

1. Student GPA
2. Random sampling

Statistics:

• Descriptive enumerations is used to depict the traits of the society utilizing a sample. Inferential enumerations uses differing examining finishes to draw deductions about the society utilizing samples. Tools.
• Measures of main shift and measures of dispersal. Hypothesis experiment and reversion reasoning.Statistical deduction is a procedure of making conclusions about the limits of a populace, established random examination. It helps to evaluate the connection middle from two points the reliant and liberated variables.
• The purpose of mathematical deduction to estimate the changeableness or sample to sample difference.
• If you want a someone worth imitating of explanatory enumerations, look no further than a undergraduate's average of grades (GPA).
  
  

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Answer 2

Answer:

When employing a sample, descriptive statistics are used to characterize the features of the population.

To infer information about the population from samples, inferential statistics use a variety of analytical techniques. Tools. both measurements of dispersion and central tendency. Regression analysis and testing of hypotheses.

Step-by-step explanation:

Description Statistics

Using tables, graphs, and summary statistics, descriptive statistics are a means to arrange, portray, and describe a collection of data. Consider the number of people utilizing the internet or television in a city.

Additionally, descriptive statistics are divided into four groups:

• Calculation of frequency
• size of the dispersion
• Central tendency index
• Positional measurement

The frequency measurement shows how frequently a certain piece of data happens. Variance, Range, and Standard Dispersion are measured by deviation. It shows how the data has spread. The data's mean, median, and mode represent the main trends. The percentile and quartile ranks are described by the measure of position.

Inferential Statistics

Descriptive statistics are interpreted using this sort of data. In other words, after the data has been gathered, examined, and summarised, we utilize these statistics to explain the significance of the data. Or, as another way to put it, it is used to derive inferences from data that is subject to random mistakes like observational errors, sample variance, etc.

With the use of inferential statistics, we may utilize data gathered from a sample to extrapolate conclusions about the population. It enables us to make claims that go beyond the scope of the facts or data at hand. Creating estimations, as an illustration, using fictitious research.

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