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How can we find provisional mean? - Answers
To find the provisional mean, you can use the formula for the mean, which is the sum of all data points divided by the number of data points. For a provisional mean, you can update it incrementally as new data points are added. Specifically, if you have an existing mean (M) and you add a new value (x), the new provisional mean can be calculated using the formula: new mean = M + (x - M) / (n + 1), where n is the number of existing data points. This allows for efficient updating without recalculating from scratch.
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How can we find provisional mean? - Answers
To find the provisional mean, you can use the formula for the mean, which is the sum of all data points divided by the number of data points. For a provisional mean, you can update it incrementally as new data points are added. Specifically, if you have an existing mean (M) and you add a new value (x), the new provisional mean can be calculated using the formula: new mean = M + (x - M) / (n + 1), where n is the number of existing data points. This allows for efficient updating without recalculating from scratch.
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How can we find provisional mean? - Answers
To find the provisional mean, you can use the formula for the mean, which is the sum of all data points divided by the number of data points. For a provisional mean, you can update it incrementally as new data points are added. Specifically, if you have an existing mean (M) and you add a new value (x), the new provisional mean can be calculated using the formula: new mean = M + (x - M) / (n + 1), where n is the number of existing data points. This allows for efficient updating without recalculating from scratch.
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- og:descriptionTo find the provisional mean, you can use the formula for the mean, which is the sum of all data points divided by the number of data points. For a provisional mean, you can update it incrementally as new data points are added. Specifically, if you have an existing mean (M) and you add a new value (x), the new provisional mean can be calculated using the formula: new mean = M + (x - M) / (n + 1), where n is the number of existing data points. This allows for efficient updating without recalculating from scratch.
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