Category: Applied statistics

T Test using inferential statistics
Posted on: August 1, 2020 Posted by: admin Comments: 0

Hypothesis Testing Using T Test : Inferential Statistics Part3

What Is T Test? What Are The Types Of T Test? How Does It Works? “Being a product leader it’s your responsibility to verify your assumption/hypothesis based on data analysis. Assume less & verify more has to be the way to execute your responsibilities. “ We have covered earlier in our Part1 & Part 2 Of Inferential statistics: Hypothesis Testing, where we understood about, Chi-Square Test: Normal Deviate Z Test: As…

Inferential Statistics
Posted on: July 24, 2020 Posted by: admin Comments: 0

Inferential Statistics: Hypothesis Testing Using Normal Deviate Z -Test

What Is Z Test In Inferential Statistics & How It Works? I Feel: The more you analyze the data the more enlightened, data engineer you will become. What Is Normal Deviate Z Test & How It Works ? In data engineering you will always find an instance where you need to establish whether the data sample which you have got from population data, is reliable enough to build a model around it. There…

Inferential statistics explained
Posted on: July 23, 2020 Posted by: admin Comments: 2

Inferential Statistics: Understanding Hypothesis Testing Using Chi-Square Test

What Is Chi-Square Test & How It Works? As a data science engineer it’s imperative that the sample data set which you pick from the population data is reliable, clean and well tested for its usability in Machine learning model building. So how do you do that ? Well, we have multiple statistical techniques like descriptive statistic where we measure the data central value, how it is spread across the mean/median.…

Descriptive statistics in data science
Posted on: July 19, 2020 Posted by: admin Comments: 2

Descriptive Statistics Fundamentals For Data Science Aspirants

Few lines I wrote, dedicated to data engineers: Data Data everywhere, consumers are now more aware So mine the data with utmost care, and serve them everywhere. Yes, that valuable it is to treat and process data with the required precision so that you can serve your customers/consumers effectively and responsibly. In Applied statistics we try to ensure the data is reliable and clean to help us build a model…