ACTIVITY 11 1. Find the \( 95 \% \) confidence interval if there are 10 students taken the exam with a mean of 100 and standard deviation of 25.
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To find the \( 95\% \) confidence interval for the mean score of the 10 students, you can use the formula: \[ \text{Confidence Interval} = \bar{x} \pm t \times \frac{s}{\sqrt{n}} \] Where: - \(\bar{x} = 100\) (mean) - \(s = 25\) (standard deviation) - \(n = 10\) (sample size) - \(t\) is the t-value for \(95\%\) confidence level with \(n-1 = 9\) degrees of freedom, which is approximately \(2.262\). Plugging in the numbers: \[ \text{Margin of Error} = 2.262 \times \frac{25}{\sqrt{10}} \approx 2.262 \times 7.907 = 17.91 \] Thus, the confidence interval is: \[ 100 \pm 17.91 = (82.09, 117.91) \] So, the \( 95\% \) confidence interval for the mean score is approximately \( (82.09, 117.91) \). Did you know that confidence intervals are like a safety net? They help researchers understand how much the sample mean might vary in relation to the entire population mean! This tool is widely used in areas ranging from education to healthcare, assuring that the findings can be generalized beyond just the small sample size. For those interested in diving deeper, "Statistics for Dummies" by Deborah J. Rumsey is a fantastic starting point! It breaks down complex concepts into digestible bites, making statistical wonders truly accessible. Each chapter is like a friendly chat with a clever tutor guiding you through the labyrinth of numbers!
