?? Why is statistics Important?
ArabiStat(Statistical Analysis and Consulting)
ArabiStat (Statistical Analysis and Consulting) Data analysis and Artificial intelligence Modelling.
The field of statistics is concerned with collecting, analyzing, interpreting, and presenting data.
As technology becomes more present in our daily lives, more data is being generated and collected now than ever before in human history.
Statistics is the field that can help us understand how to use this data to do the following things:
* Gain a better understanding of the world around us.
* Make decisions using data.
* Make predictions about the future using data.
??1) To Use Descriptive Statistics to Understand the World
There are three main types of descriptive statistics:
Summary statistics
Charts
Tables
Each of these can help us gain a better understanding of existing data.
??2) To Be Wary of Misleading Charts
Unfortunately, charts can often be misleading if you don’t understand the underlying data.
??3) To Be Wary of Confounding Variables
One important concept that you’ll learn about in statistics is the concept of confounding variables.
These are variables that are unaccounted for and can confound the results of an experiment and lead to unreliable findings.
??4)To Make Better Decisions Using Probability
This is the field that studies how likely events are to happen.
By having a basic understanding of probability, you can make more informed decisions in the real world.
??5) To Understand P-Values in Research
Another important concept that you’ll learn about in statistics is p-values.
??6) To Understand Correlation
Another important concept that you’ll learn about in statistics is correlation, which tells us the linear association between two variables.
The value for a correlation coefficient always ranges between -1 and 1 where:
-1 indicates a perfectly negative linear correlation between two variables
0 indicates no linear correlation between two variables
1 indicates a perfectly positive linear correlation between two variables
By understanding these values, you can understand the relationship between variables in the real world.
??7) To Make Predictions About the Future
Another important reason to learn statistics is to understand basic regression models such as:
* Simple linear regression
* Multiple linear regression
* Logistic Regression
Each of these models allow you to make predictions about the future value of some response variable based on the value of certain predictor variables in the model.
??8) To Understand Potential Bias in Studies
Another reason to study statistics is to be aware of all the different types of bias that can occur in real-world studies.
??9) To Understand the Assumptions Made by Statistical Tests
Many statistical tests make assumptions about the underlying data under study.
it’s important to understand what assumptions need to be made in order for the results to be reliable.
??10) To Avoid Overgeneralization
Another reason to study statistics is to understand the concept of overgeneralization.
This occurs when the individuals in a study are not representative of the individuals in the overall population and therefore it’s inappropriate to generalize the conclusions from a study to the larger population.
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