How To Determine Sample Size For Unknown Population Calculator

Determination of sample size over the history of inquiry project writing has been ane of the nearly important tools for effective data analysis. There are so many means to determine sample size. The most common method used by research project students who want to engage project writing is the Taro Yamane formula for known population. But in this article I will focus on the decision of reliable sample size for unknown population. The sample size is usually required for project topics under social sciences that involved chief information.

When I say primary data I hateful raw data gotten from a particular source; hither the chief data are gotten directly from the responses of the respondents either through the utilise of questionnaires or interview. In the next article I will bear witness undergraduate project students and post graduate project students on how to grade questionnaires for different kind of responses.

Before I explain how to use the z score for the determination of reliable sample size for unknown population let me first of all explain the z score. A Z-score is a numerical measurement used in statistics of a value'southward human relationship to the mean (average) of a grouping of values, measured in terms of standard deviations from the mean. If a Z-score is 0, it indicates that the data signal's score is identical to the hateful score.

The Z score can be used to determine the reliable sample size by considering normal derivation set at 95% confidence level (1.96). And then we selection a selection or response (50%=0.v) and the conviction interval (0.05 = ± 5) using the formula below:

n = Z2 (P) (1-P)/C2

Where

Z= standard normal difference ready at 95% confidence level

P = percentage picking a choice or response

C= conviction interval

due north = (1.96)ii (0.v) (1-0.5)/ (0.05)2

n = (iii.8416)(0.5)(0.5)/0.0025

due north = 0.9604/0.0025

northward ≈ 384.xvi

n = 384

The sample size for the written report volition be 384. The sample size can still alter depending on what confidence level you lot want to choose. An undergraduate project student tin can practice this method trying dissimilar confidence level.

The formula is flexible; when you already have the sample size, you can determine the standard normal difference set at 95% confidence level and also the p-value which is the percentage picking or choice of response. The same goes to finding the confidence interval.

Published: Sun, 04 August 2019 | Writer: ProjectRegards Admin | Tags: education project topics, accounting projection topics | Views: 17,682