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Sentences with WINSORIZED-MEAN

Check out our example sentences below to help you understand the context.

Sentences

1
"The winsorized mean is a robust measure of central tendency."
2
"When outliers are present in a dataset, using the winsorized mean can provide a more accurate representation of the data."
3
"To calculate the winsorized mean, a certain percentage of the largest and smallest values in a dataset are replaced with the closest values within that range."
4
"One application of the winsorized mean is in finance, where it can be used to reduce the impact of extreme stock prices on portfolio returns."
5
"The winsorized mean is less sensitive to outliers compared to other methods such as the arithmetic mean."
6
"By replacing extreme values with more moderate ones, the winsorized mean minimizes the effect of outliers on the overall statistic."
7
"In a dataset with a skewed distribution, the winsorized mean may provide a more reliable estimate of the population mean."
8
"The winsorized mean is also known as the truncated mean."
9
"Unlike the median, the winsorized mean takes into account the complete dataset."
10
"To calculate the winsorized mean, the percentage of values to be winsorized needs to be specified."
11
"A 10% winsorized mean replaces the lowest and highest 5% of the values in a dataset."
12
"The winsorized mean is a common method used in econometrics to deal with outliers and extreme values."
13
"In research studies, the winsorized mean is useful when extreme values would unduly influence statistical results."
14
"The winsorized mean can be used to estimate robust standard deviations by winsorizing data before calculating sample variances."
15
"Some statistical software packages automatically provide winsorized means as an option when calculating descriptive statistics."
16
"Comparing the winsorized mean to other measures of central tendency can provide insights into the distribution of the data."
17
"The winsorized mean is a compromise between the trimmed mean and the sample mean."
18
"For datasets with a heavy-tailed distribution, the winsorized mean is more appropriate than the arithmetic mean."
19
"The selection of the winsorization threshold can affect the value of the winsorized mean."
20
"The winsorized mean can be a useful tool for robust data analysis."
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