Search
Search titles only
By:
Search titles only
By:
Log in
Register
Search
Search titles only
By:
Search titles only
By:
Menu
Install the app
Install
Forums
New posts
All threads
Latest threads
New posts
Trending threads
Trending
Search forums
What's new
New posts
New ads
New profile posts
Latest activity
Free Ads
Latest reviews
Search ads
Members
Current visitors
New profile posts
Search profile posts
Contact us
Latest ads
Ad icon
V2ray VPN for Tunneling
hu KANNA
Updated:
Oct 22, 2026
FREE SEO Check & Google Maps Check for Sri Lankan Businesses | Web Design, Website Price Rs 14,900 |
LankaSolve
Updated:
Oct 20, 2026
ඕනම රටකට සෙට් වෙන CV එකක්
ErMurazor
Updated:
Oct 17, 2026
Hambantota
7 Acres Beachfront Land For Sell DownSouth , PerPerch Price 420 000
1024 Digital
Updated:
Oct 14, 2026
Baseus PI LITE INDOOR CAMERA
ErMurazor
Updated:
Oct 12, 2026
Electronics
Vehicles
Property
Search
Reply to thread
Forums
General
ElaKiri Talk!
𝐆𝐨𝐯𝐞𝐫𝐧𝐦𝐞𝐧𝐭 𝐚𝐩𝐩𝐫𝐨𝐯𝐚𝐥 𝐝𝐨𝐮𝐛𝐥𝐞𝐬 𝐭𝐨 𝟐𝟏% 𝐢𝐧 𝐉𝐮𝐧𝐞: Verité Research
Get the App
JavaScript is disabled. For a better experience, please enable JavaScript in your browser before proceeding.
You are using an out of date browser. It may not display this or other websites correctly.
You should upgrade or use an
alternative browser
.
Message
<blockquote data-quote="topkollek" data-source="post: 29002932" data-attributes="member: 510150"><p>1008 ඇති </p><p></p><p>මෙතන වරද මොන්සන් 21%ක් කියන්නෙ ලොකු එකක් විදිහට දකින එක.</p><p></p><p>ChatGPT calculated sample size:</p><p></p><p>To calculate the appropriate sample size for a population of 22 million with a desired confidence level of 95%, we need to consider the desired margin of error and the variability within the population.</p><p>The formula to estimate the sample size for estimating proportions is:</p><p>n = (Z^2 * p * (1-p)) / (E^2)</p><p>Where:</p><ul> <li data-xf-list-type="ul">n is the required sample size</li> <li data-xf-list-type="ul">Z is the z-score corresponding to the desired confidence level (e.g., for 95% confidence, Z ≈ 1.96)</li> <li data-xf-list-type="ul">p is the estimated proportion of the population with the desired characteristic (if unknown, p can be set to 0.5 to get a conservative estimate)</li> <li data-xf-list-type="ul">E is the desired margin of error (expressed as a proportion)</li> </ul><p>Assuming we set p = 0.5 to obtain a conservative estimate and let's say we desire a margin of error of ±3% (E = 0.03), the calculation would be as follows:</p><p>n = (1.96^2 * 0.5 * (1-0.5)) / (0.03^2) n = (3.8416 * 0.25) / 0.0009 n ≈ 1069</p><p>Therefore, a sample size of approximately 1069 individuals would be needed to estimate the population proportion with a 95% confidence level and a margin of error of ±3% (assuming a conservative estimate of p = 0.5).</p><p>It's important to note that this calculation assumes a simple random sampling method and certain statistical assumptions. If you plan to use a different sampling method or have specific characteristics of the population that may impact the variability or distribution, it's advisable to consult with a statistician to obtain a more accurate estimation.</p></blockquote><p></p>
[QUOTE="topkollek, post: 29002932, member: 510150"] 1008 ඇති මෙතන වරද මොන්සන් 21%ක් කියන්නෙ ලොකු එකක් විදිහට දකින එක. ChatGPT calculated sample size: To calculate the appropriate sample size for a population of 22 million with a desired confidence level of 95%, we need to consider the desired margin of error and the variability within the population. The formula to estimate the sample size for estimating proportions is: n = (Z^2 * p * (1-p)) / (E^2) Where: [LIST] [*]n is the required sample size [*]Z is the z-score corresponding to the desired confidence level (e.g., for 95% confidence, Z ≈ 1.96) [*]p is the estimated proportion of the population with the desired characteristic (if unknown, p can be set to 0.5 to get a conservative estimate) [*]E is the desired margin of error (expressed as a proportion) [/LIST] Assuming we set p = 0.5 to obtain a conservative estimate and let's say we desire a margin of error of ±3% (E = 0.03), the calculation would be as follows: n = (1.96^2 * 0.5 * (1-0.5)) / (0.03^2) n = (3.8416 * 0.25) / 0.0009 n ≈ 1069 Therefore, a sample size of approximately 1069 individuals would be needed to estimate the population proportion with a 95% confidence level and a margin of error of ±3% (assuming a conservative estimate of p = 0.5). It's important to note that this calculation assumes a simple random sampling method and certain statistical assumptions. If you plan to use a different sampling method or have specific characteristics of the population that may impact the variability or distribution, it's advisable to consult with a statistician to obtain a more accurate estimation. [/QUOTE]
Insert quotes…
Verification
Dahaya deken beduwama keeyada?
Post reply
Top
Bottom