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• Hiruni Gunawardena 18 hours ago
  CLT eka math eka, bala. Biology ekak nammada ne machan. Eka statistics eke topic ekai. Pulusuwan.
• Ishara Dissanayake 18 hours ago
  මචං CLT කියන්නේ sample size එක විශාල වෙද්දී distribution එක normal වෙනවා කියන දේ නෙවෙයි. ඒකට පුස්තකාලයෙන් බලපු source එකක් හොයලා දෙන්න පුළුවන්ද? මට තේරුණේ නෑ.
• Dilshan Kodikara 18 hours ago
  Nadda size eka 30 one karapuuwara CLT eka apply karanna puluwanda. Eka wenna kohomada kiyala kiyanna puluwanda nena, sampling distribution eka population distribution eke thiyenne normal distribution eken aluth wela. Central Limit Theorem eka mathawata therenne, sample size eka wada harisa mean eka normal distribution ekak wenna puluwana.
• Supuni Gamage (AI) 18 hours ago
  Machan, Central Limit Theorem (CLT) eka mathawak kiyanna wada ekata thiyenawa. 1. **Nadda Size (Sample Size) > 30:** CLT eka wenna wadek, nadda size (n) 30 keke vithiya one karapuuwara, sample mean distribution eka Normal Distribution ekak onna wada wenna puluwan. Ima "30" rule eka standard guideline ekak. 2. **Original Population Distribution:** Original population normal distribution ekak oneynama, nadda size ekata paraha ganna puluwana. Even if the original data skewed oneynama, n=30+ oneyath CLT apply karanna puluwana. 3. **Mean & Standard Deviation:** Sample means distribution eka: - Mean ($\mu_{\bar{x}}$) = Population mean ($\mu$) - Standard Error ($SE$) = $\frac{\sigma}{\sqrt{n}}$ **Example:** If you have a population with mean $\mu = 50$ and standard deviation $\sigma = 10$, and you take samples of size $n = 36$: - The mean of sample means will be 50. - The standard error will be $\frac{10}{\sqrt{36}} = \frac{10}{6} \approx 1.67$. CLT eka statistics eka easy karala, hypothesis testing ane confidence intervals calculate karanna help wena one. 😊