# Statistics for Social Good

Statistics for Social Good is structured to impart knowledge on the basics of statistics that will be useful in understanding tools in impact evaluation, for example, regression analysis. The series includes educational videos on data sampling and inference, confidence interval, hypothesis testing where the population is both known and unknown, proportions etc.  The course is designed and taught by Nishant Malhotra for under and post graduate students, CFA, FRM, Insurance and other certifications. Working professional will especially love the course.

## Lessons

Author: Nishant

This tutorial is the first statistics tutorial from The middle Road. It’s dedicated to the late actor Sushant Singh Rajput. In this module, learn about the standard normal curve, Z-scores,…

## Introduction to Standard Normal and Z scores

Author: Nishant

This tutorial is the first statistics tutorial from The middle Road. It’s dedicated to the late actor Sushant Singh Rajput. In this module, learn about the standard normal curve, Z-scores,…

## Statistics Module1: Standard Normal Worksheet Problems

Author: Nishant

Refer to the Standard Normal cumulative probability table below or download the table from  here.    Source of table: http://www.z-table.com/ Below is a list of questions based on the Statistics…

## Statistics Module 3: Understanding Inference

Author: Nishant

Module 3 includes a brief overview of random sampling and introduces the concept of confidence interval. The sampling concept is important to understand the distinction between population and sample statistic.…

## Statistics Module 3: Understanding Inference Problems and Solutions

Author: Nishant

Refer to the tutorial on Inference before attempting the questions. Statistics Module 3: Understanding Inference Q1. For a population with a known variance of 185, a sample of 64 individuals…

Author: Nishant

## Statistics Module 4: Hypothesis Testing Part 1

Author: Nishant

Hypothesis Testing    Hypothesis Testing lies at the core of statistical inference. To understand the outcome, sampling techniques are used to estimate a test statistic of a sample from the population…

## Statistics Module 4: Hypothesis Testing Part 2

Author: Nishant

Hypothesis Testing Part 2  This module looks at hypothesis testing when the population mean is known. We are assuming normal distribution and as discussed before, if the distribution is not…

## Statistics Module 4: Questions

Author: Nishant

Solved questions on hypothesis testing for Known population standard deviation 1. Consider the following hypotheses test a. For a sample size of 189 and a sample mean of  55.8, compute…

## Statistics Module 5 Hypothesis Testing : Introduction to T-Distribution for Unknown Population σ

Author: Nishant

← All Topics Table of Contents # What is Student t-distribution? Fig: Middle Road OPC Pvt Ltd   This read, discusses the concept of hypothesis testing using t-distribution. Check out the…

## Statistics Module 5A : Hypothesis Tests Population Proportion

Author: Nishant

Hypothesis Tests Population Proportion    To conduct hypothesis tests, p bar from the sampling distribution is the point estimator of the population proportion. This point estimate is compared with the…

## Statistics Module 5B: Calculating Type II Error for hypothesis testing for a Population Mean

Author: Nishant

Read on the methodology of calculating Type II error for a hypothesis test about a population mean articulated with sufficient examples. The note includes an excel worksheet attached which can…

## Statistics 5C: Sample Questions

Author: Nishant

These set of questions are based on hypothesis testing especially for T distribution.  This is a follow up on the modules covered under Statistics significantly t distribution. Check out modules…