Scores on a standardized exam are known to follow a normal distribution with standard deviation σσ = 17. A researcher randomly selects 135 students and computes their average score. He reports that the mean score is 75.3, with a margin of error of 1.485. How confident are you that the mean score for all students taking the exam is in the interval (73.815, 76.785)? Confidence = %
Scores on a standardized exam are known to follow a normal distribution with standard deviation σσ = 17. A researcher randomly selects 135 students and computes their average score. He reports that the mean score is 75.3, with a margin of error of 1.485. How confident are you that the mean score for all students taking the exam is in the interval (73.815, 76.785)? Confidence = %
Scores on a standardized exam are known to follow a normal distribution with standard deviation σσ = 17. A researcher randomly selects 135 students and computes their average score. He reports that the mean score is 75.3, with a margin of error of 1.485. How confident are you that the mean score for all students taking the exam is in the interval (73.815, 76.785)? Confidence = %
Scores on a standardized exam are known to follow a normal distribution with standard deviation σσ = 17. A researcher randomly selects 135 students and computes their average score. He reports that the mean score is 75.3, with a margin of error of 1.485.
How confident are you that the mean score for all students taking the exam is in the interval (73.815, 76.785)?
Confidence = %
Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.
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