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75th Percentile (Calendar Days) for visa subclasses 190, 489 where activity month between 01/01/2019 and 31/12/2019 Response to FOi request 21/01/03934Source: Department of Home Affairs, 2021 (DD7155.01)
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How to fill out 75th and 90th percentile

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To fill out the 75th and 90th percentile, follow these steps:
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Collect a set of data points.
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Arrange the data points in ascending order.
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Calculate the total number of data points, denoted as n.
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Find the index of the 75th percentile: index_75 = (75/100) * (n+1).
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Find the index of the 90th percentile: index_90 = (90/100) * (n+1).
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If both index_75 and index_90 are integers, the values at those indices in the sorted data set represent the 75th and 90th percentiles, respectively.
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If both index_75 and index_90 are not integers, interpolate between the two closest values in the sorted data set to calculate the corresponding percentiles.

Who needs 75th and 90th percentile?

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The 75th and 90th percentiles are useful in various fields, including statistics, data analysis, and decision making.
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Statisticians and researchers use percentiles to study the distribution of data and identify the relative position of specific observations.
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In healthcare, the 75th and 90th percentiles are often used to analyze growth patterns in children and assess their development compared to their peers.
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The business and finance sectors utilize percentiles to analyze performance metrics, such as income distribution, stock market returns, and customer satisfaction ratings.
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Educational institutions and testing organizations use percentiles to rank students' performances and establish cutoff scores for various examinations and standardized tests.
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Percentiles are also commonly used in sports analytics to compare athletes' performances and assess their relative skill levels.
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Overall, anyone working with data and interested in understanding the distribution and relative positioning of values can benefit from using the 75th and 90th percentiles.
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The 75th percentile is the value below which 75% of the data points fall, while the 90th percentile is the value below which 90% of the data points fall. These percentiles are often used in statistical analysis to understand the distribution of a dataset.
Organizations that provide employee compensation data and are subject to certain federal regulations, such as those in the healthcare or educational sectors, may be required to file 75th and 90th percentile reports.
To fill out the 75th and 90th percentile, organizations must analyze their compensation data, calculate the respective percentiles, and report the findings typically using specified forms or systems as required by regulatory bodies.
The purpose of the 75th and 90th percentile reports is to provide transparency in compensation practices, ensure compliance with regulations, and enable comparisons among organizations and pay scales.
The information that must be reported includes data on employee compensation for various job titles, the calculated 75th and 90th percentile values, and relevant demographic information to support the analysis.
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