## What if sample size is less than 30?

For example, when we are comparing the means of two populations, if the sample size is less than 30, then we use the t-test. If the sample size is greater than 30, then we use the z-test.

## How do you collect data from a case study?

The most common techniques used to collect data for case studies are:

- personal interviews.
- direct observation.
- psychometric tests.
- archival records.

## What is case study in a project?

According to Top Rank Blog, a case study is: An analysis of a project, campaign, or company that identifies a situation, recommended solutions, implementation actions, and identification of those factors that contributed to failure or success.

## How do you fix a sample size?

can be solved for n, yielding n = 4/W2 = 1/B2 where B is the error bound on the estimate, i.e., the estimate is usually given as within ± B. So, for B = 10% one requires n = 100, for B = 5% one needs n = 400, for B = 3% the requirement approximates to n = 1000, while for B = 1% a sample size of n = 10000 is required.

## How is data analyzed in a case study?

A case study is one of the many qualitative and quantitative methods that can be adopted to collect data for research. Similarly Miles and Huberman (1994) propose an approach to the analysis of case study data by logically linking the data to a series of propositions and then interpreting the subsequent information.

## How big is a case study?

500 to 1,500 words

## What is a good sample size for a case study?

This gives a range of what sample size they would consider appropriate, and later in the same paper, they recommend a range of 20-30 interviews for grounded research and 15-30 interviews for case studies.

## Which method of data collection is not used in the case study?

Case study method can be used only in a limited sphere., it is not possible to use it in case of a big society. Sampling is also not possible under a case study method.

## What type of data is a case study?

In case study research, the data collected are usually qualitative (words, meanings, views) but can also be quantitative (descriptive numbers, tables). Qualitative data analysis may be used in theory building and theory testing.