Z score chart calculator
Author: s | 2025-04-23
How To Calculate Z Score? Our innovative z chart calculator aims to simplify and streamline the z-score for any raw value of X. You need to look at the example to clarify how to find z scores with the help of z score calculator or manually.
Z Score Calculator - Calculate z-score
There are three ways to find the z-score that corresponds to a given area under a normal distribution curve1. Use the z-table.2. Use the Percentile to Z-Score Calculator.3. Use the invNorm() Function on a TI-84 Calculator.The following examples show how to use each of these methods to find the z-score that corresponds to a given area under a normal distribution curve.Example 1: Find Z-Score Given Area to the LeftFind the z-score that has 15.62% of the distribution’s area to the left.Method 1: Use the z-table.The z-score that corresponds to a value of .1562 in the z-table is -1.01.2. Use the Percentile to Z-Score Calculator.According to the Percentile to Z-Score Calculator, the z-score that corresponds to a percentile of .1562 is -1.01.3. Use the invNorm() function on a TI-84 calculator.Using the invNorm() function on a TI-84 calculator, the z-score that corresponds to an area of .1562 to the left is -1.01.Notice that all three methods lead to the same result.Example 2: Find Z-Score Given Area to the RightFind the z-score that has 37.83% of the distribution’s area to the right.Method 1: Use the z-table.The z table shows the area to the left of various z-scores. Thus, if we know the area to the right is .3783 then the area to the left is 1 – .3783 = .6217The z-score that corresponds to a value of .6217 in the z-table is .312. Use the Percentile to Z-Score Calculator.According to the Percentile to Z-Score Calculator, the z-score that corresponds to a percentile of Age and sex; andABSISD\mathrm{ABSI}_{\text{SD}} – The standard deviation of the calculated ABSI for the chosen age and sex.This calculator uses the gets its mean and standard deviation data for each age and sex bracket from the data available for the population of NHANES.Based on the ABSI z score, the results are classified into five premature mortality risk levels:ABSIz score\boldsymbol{\mathrm{ABSI}_{\text{z\ score}}}Mortality risk−0.868Very low−0.868-0.868 - −0.272-0.272Low−0.272-0.272 - +0.229+0.229Average+0.229+0.229 - 0.7980.798High>0.798>0.798Very high🙋 Our BAI calculator will explain to you another index used to calculate your fitness: the body adiposity index.How to use A Body Shape Index (ABSI) calculator?Using the ABSI calculator is very easy – just follow these steps:Choose your sex.Enter your age (the values must range from 2 to 85 years).Enter your height. Don't worry about the units – our ABSI calculator has a built-in length converter.Enter your weight. Again, don't worry about the units conversion.Input your waist circumference. It should be measured horizontally around the waist, at the level of your belly button.That's all! In the "Results" section, you will be able to see your ABSI score, ABSI z score, and the interpretation of your result.A Body Shape Index – pros and consThe higher the ABSI, the higher the proportion of abdominal fat compared to other body parts. ABSI correlates only slightly with height, weight, and BMI, indicating that it is independent of other anthropometric variables in predicting mortality. It can also predict the risk of cardiovascular disease, cancer, and diabetes.However, the risk calculated with the ABSI score is based only on the body model. Other factors that influence life expectancy (e.g., other illnesses) are not taken into account. We created our diabetes risk calculator and CVD risk calculator to give you a more comprehensive model to calculate those risks.FAQsHow do I calculate the ABSI z-score?To calculate the ABSI z-score, first,Z-Score Calculator - Calculate Z-Scores Instantly
.6217 is .3099.3. Use the invNorm() function on a TI-84 calculator.Using the invNorm() function on a TI-84 calculator, the z-score that corresponds to an area of .6217 to the left is .3099.Example 3: Find Z-Scores Given Area Between Two ValuesFind the z-scores that have 95% of the distribution’s area between them.Method 1: Use the z-table.If 95% of the distribution is located between two z-scores, it means that 5% of the distribution lies outside of the z-scores.Thus, 2.5% of the distribution is less than one of the z-scores and 2.5% of the distribution is greater than the other z-score.Thus, we can look up .025 in the z-table. The z-score that corresponds to .025 in the z-table is -1.96.Thus, the z-scores that contain 95% of the distribution between them are -1.96 and 1.96.2. Use the Percentile to Z-Score Calculator.According to the Percentile to Z-Score Calculator, the z-score that corresponds to a percentile of .025 is -1.96.Thus, the z-scores that contain 95% of the distribution between them are -1.96 and 1.96.3. Use the invNorm() function on a TI-84 calculator.Using the invNorm() function on a TI-84 calculator, the z-score that corresponds to an area of .025 to the left is -1.96.Thus, the z-scores that contain 95% of the distribution between them are -1.96 and 1.96.. How To Calculate Z Score? Our innovative z chart calculator aims to simplify and streamline the z-score for any raw value of X. You need to look at the example to clarify how to find z scores with the help of z score calculator or manually.Z Score Calculator - Calculate Z Score and Percentile
DefinitionAltman's Z is commonly employed to assess financial distress. The Altman's Z-score can be calculated from four or five linear combinations of business ratios, weighted by coefficients. Altman's Z is a weighted composite of financial indicators relating to profitability, revenue, slack resources, and market return (Altman, 1968). When interpreting Altman's Z-Score, higher values indicate that firms carry out more actions at a fast pace, while low scores indicate that firms carry out few total actions and respond slowly.The predetermined cut-off scores will be compared to the obtained Z-score value. The assumed values of Altman's score that with a Z-Score less than 1.8 were likely to experience bankruptcy; companies with a Z-score 1.8 to 2.99 were in a zone of ignorance, or a grey zone in which distress may or may not be impending. Last, companies with a Z-score greater than 2.99 were likely to be financially sound. However, there is no single formula that has the power to predict the future; Z-Score users should look at the trend of the business over time as they interpret the score rather than just looking at the score itself, which is only a snapshot in time.Altman's Z-score include the following general analysis1. For public manufacturing firms, a Z-score more than or equal to 3.0 shows the solvency, where a score less than or equal to 1.8 indicates likely suffering2. For private manufacturing firms, a Z-score more than or equal to 2.9 shows the positive score, where a score less than or equal to 1.23 indicates likelihood of bankruptcy3. For private, non-manufacturing firms, a Z-score more than or equal to 2.6 indicates that the bankruptcy is unlikely about to be happening and a score of 1.1 or useful in forecasting bankruptcy as it was to predict other suffering conditionsThe commonly accepted cut-off criteria is a separate bankruptcy analysis model employed in Altman's Z-score calculator. This calculator may provide useful financial distress forecasting in firms functioning in a broad variety of industries. Example, an IQ score of 70 is in the 2nd percentile (for SD = 15), which means that only 2% of people score 70 or lower. IQ 125 is at the 95th percentile - 95% of people have an IQ equal to or less than 125. This means 5% of the population score higher.Knowing your IQ percentile lets you determine how you stack up against the rest of the population (read: whether you've got the brain it takes to become the second Einstein).How to use the IQ percentile calculator?First, you need to take a reliable (standardized) IQ test. The majority of those you find online don't qualify. The most commonly used IQ test is the Wechsler Adult Intelligence Scale (WAIS) and the Wechsler Intelligence Scale for Children (WISC). Other widely used tests include:Stanford-Binet Intelligence Scale;Cattell Culture Fair Intelligence Test;Universal Nonverbal Intelligence;Differential Ability Scales; andWoodcock-Johnson Tests of Cognitive Abilities.Once you have the test result:Input your score in the IQ percentile calculator.Check what the standard deviation for the IQ test you took is. The default of the IQ percentile calculator is 15 (as in the Wechsler and SB5 tests). You can use the radio buttons to change it to 16.The calculator will display the percentile for your score and the explanation. You'll also see a distribution chart — scores below yours are displayed in red, and scores above — in blue.IQ scores are displayed on the X-axis. The Y axis denotes the percentage of the population that has that IQ. For example, you can read from the chart that around 2.7% of the population has an IQ of 100.Note that the IQ scale ranges may differ depending on the test type. The chart doesn't account for test type, so any score out of the test range is not reliable.IQ percentile chartIf you're wondering what IQ distribution looks like and what is a high IQ, have a look at the IQ percentile chart:IQ scoreIQ percentile200.000004300.0002400.003500.04600.470280990251005011075120911309814099.615099.9616099.99717099.9998518099.999996The values were calculated for standard deviation of 15.IQ levels classification tables — what is a high IQ?Once you know your score, you may want to have a look at the IQ charts and compare different IQ levels. It will help you determine IQ meaning, average IQ score ("normal" IQ), and answer the question "What is a high IQ?".Current Wechsler (WAIS–IV, WPPSI–IV) IQ classificationIQ Range ("deviation IQ")IQ Classification130 and aboveVery Superior120-129Superior110-119High Average90-109Average80-89Low Average70-79Borderline69 and belowExtremely Lowafter Groth-Marnat 2009Stanford–Binet FifthZ score Table or Z score chart - Edutized
The ABSI calculator estimates the risk of premature mortality based on the A Body Shape Index (ABSI). The ABSI formula requires only a few variables: age, sex, body height, body mass, and waist circumference.The inclusion of the last measurement makes ABSI a better indicator of risk of mortality from excessive weight than the standard body mass index (BMI). Read the article below to find out more about the A Body Shape Index pros and cons and the ABSI formula! 🤓We try our best to make our Omni Calculators as precise and reliable as possible. However, this tool can never replace a professional doctor's assessment. If any health condition bothers you, consult a physician.A Body Shape Index (ABSI)The A Body Shape Index has been developed by Nir and Jesse Krakauer from a sample of Americans in the National Health and Nutrition Examination Survey. The aim of the authors was to develop a formula that is based on waist circumference and is approximately independent (less dependent) of height, weight, and BMI. They have developed the A Body Shape Index that includes five variables:Sex;Age;Weight;Height; andWaist circumference.🙋 If you are interested in the more known BMI, visit our BMI calculator: with a few inputs and no time at all, you be able to calculate its value!A Body Shape Index formula - ABSI formula and ABSI z score:1.We present the ABSI formula below:ABSI=WCBMI23×height12,\mathrm{ABSI}=\frac{\mathrm{WC}}{\mathrm{BMI}^{\frac{2}{3}}\times\mathrm{height}^{\frac{1}{2}}},where:WC\mathrm{WC} – The waist circumference, expressed in m\mathrm{m};height\mathrm{height} – Expressed in m\mathrm{m}; andBMI\mathrm{BMI} – Expressed in kg/m2\mathrm{kg}/\mathrm{m^2}, and is calculated using the following formula:BMI=weightheight2\qquad \mathrm{BMI}=\frac{\mathrm{weight}}{\mathrm{height}^2}2.To estimate the risk of premature mortality, we can calculate the ABSI z score as follows:ABSIz score = ABSI−ABSImeanABSISD\mathrm{ABSI}_{\text{z score}}\! =\! \frac{\mathrm{ABSI}-\mathrm{ABSI}_{\text{mean}}}{\mathrm{ABSI}_{\text{SD}}}where:ABSIz score\mathrm{ABSI}_{\text{z score}} – Calculated based on the mean and standard deviations of ABSI calculated for the given age and sex;ABSImean\mathrm{ABSI}_{\text{mean}} – The mean ABSI for the chosenEffortless Z-score Calculations with Our Z-score Calculator
Author: Mike MᶜGarry Mike served as a GMAT Expert at Magoosh, helping create hundreds of lesson videos and practice questions to help guide GMAT students to success. He was also featured as “member of the month” for over two years at GMAT Club. Mike holds an A.B. in Physics (graduating magna cum laude) and an M.T.S. in Religions of the World, both from Harvard. Beyond standardized testing, Mike has over 20 years of both private and public high school teaching experience specializing in math and physics. In his free time, Mike likes smashing foosballs into orbit, and despite having no obvious cranial deficiency, he insists on rooting for the NY Mets. Learn more about the GMAT through Mike’s Youtube video explanations and resources like What is a Good GMAT Score? and the GMAT Diagnostic Test. 1-Month Study Schedule for the GMAT May 30, 2024 Preparing for the GMAT in a month? Magoosh’s expert has a GMAT study plan, 1 month version, to help get you the score you need! Current GMAT Format and Section Breakdown (2024) October 30, 2024 Wondering about the GMAT format? Learn more about the GMAT exam format, so you can get the timing of the GMAT sections and breaks just right! GMAT Focus Edition: Score Chart and Percentiles Rankings (2024) October 24, 2024 When it comes to business school admissions, the Graduate Management Admission Test (GMAT™) is a critical component of the application process. The introduction of the new, shorter GMAT means that prospective b-school students need to understand a new scoring system. This post not only breaks down the changes to the exam’s scoring, it also gives… GMAT Score Calculator (2024) – Section Scores to Total October 24, 2024 Need to calculate your score without an official GMAT report? Use the Magoosh GMAT score calculator! Next Page. How To Calculate Z Score? Our innovative z chart calculator aims to simplify and streamline the z-score for any raw value of X. You need to look at the example to clarify how to find z scores with the help of z score calculator or manually. How To Calculate Z Score? Our innovative z chart calculator aims to simplify and streamline the z-score for any raw value of X. You need to look at the example to clarify how to find z scores with the help of z score calculator or manually.Z Score Calculator - Z Table Calculator
$\mu$ belongs to the interval$$ (\mu-1.96\Big(\frac{\sigma}{\sqrt{n}}\Big),\mu+1.96\Big(\frac{\sigma}{\sqrt{n}}\Big))$$For a $90\%$ confidence interval, $\mu$ belongs to the interval$$(\mu-1.65\Big(\frac{\sigma}{\sqrt{n}}\Big),\mu+1.65\Big(\frac{\sigma}{\sqrt{n}}\Big)$$For a $95\%$ confidence interval, $\mu$ belongs to the interval$$(\mu-1.96\Big(\frac{\sigma}{\sqrt{n}}\Big),\mu+1.96\Big(\frac{\sigma}{\sqrt{n}}\Big))$$For a $99\%$ confidence interval, $\mu$ belongs to the interval$$(\mu-2.58\Big(\frac{\sigma}{\sqrt{n}}\Big),\mu+2.58\Big(\frac{\sigma}{\sqrt{n}}\Big))$$`z` is the critical value for the confidence level $c\%$. It is the `z`-value for which the interval from `-z` to `z` is the middle $c\%$ of the standard normal distribution.Some critical values for $c\%$ are given in the following. For the other confidence levels, we need to consult the `z`-table.Confidence level ($c\%$)`z`-value80%1.2885%1.4490%1.6595%1.9699%2.58How to Calculate Sample Size?To calculate a sample size, $n$, we use the following formula$$n=\frac{z^2p(1-p)}{ME^2}$$where `z` is the `z`-score associated with the confidence level, $ME$ is the margin of error, also known as the confidence interval, and $p$ is the sample proportion.The variable that estimates $p$, a proportion of the population that has some property, is the sample proportion$$\hat p=\frac{\mbox{number of successes in the sample}}{\mbox{total number of members in the sample}}$$The below solved example may be useful to understand how the values are being used in the mathematical formulas to determine how much the sample size of a population is required to design an experiment produces reliable estimation. `z`-score gets changed based on the confidence level, so it is needed to carefully select the `z`-score for the expected confidence level.Problem : The result of experiment shows that $50\%$ of Singapore people under the age of $55$ to $60$ living their life hassle-free. To design a similar survey in the United States of America, what is the required sample size to have $95\%$ confidence interval and margin error of $0.06$.Solution : It is given $p=0.5$, confidence level $95\%$, and margin error of $0.06$. So the `z`-score is `1.96` for $95\%$ confidence interval. By substituting the given data, in themain equation, we obtain$$n=\frac{z^2p(1-p)}{ME^2}=\frac{1.96^2 0.5\cdot0.5}{0.06^2}=266.77$$The nearest round number is $267$. The required sample size to design the experiment to have $95\%$ confidence interval is `267.`The sample size calculator, formulas, solved example with step by step calculation to find the sample size, calculated from the confidence level of $90\%$, confidence interval of $12\%$ and population proportion of $5\%$. For any other values, just supply three corresponding inputs and click on the "GENERATE WORK" button. The grade school students may use this sample size calculator to generate the work, verify the results derived by hand or do their homework problems efficiently. Sample size estimation can be useful for grade school students as one of the major aspects in statistics & probability to design the experiments to provide a better assumption.Comments
There are three ways to find the z-score that corresponds to a given area under a normal distribution curve1. Use the z-table.2. Use the Percentile to Z-Score Calculator.3. Use the invNorm() Function on a TI-84 Calculator.The following examples show how to use each of these methods to find the z-score that corresponds to a given area under a normal distribution curve.Example 1: Find Z-Score Given Area to the LeftFind the z-score that has 15.62% of the distribution’s area to the left.Method 1: Use the z-table.The z-score that corresponds to a value of .1562 in the z-table is -1.01.2. Use the Percentile to Z-Score Calculator.According to the Percentile to Z-Score Calculator, the z-score that corresponds to a percentile of .1562 is -1.01.3. Use the invNorm() function on a TI-84 calculator.Using the invNorm() function on a TI-84 calculator, the z-score that corresponds to an area of .1562 to the left is -1.01.Notice that all three methods lead to the same result.Example 2: Find Z-Score Given Area to the RightFind the z-score that has 37.83% of the distribution’s area to the right.Method 1: Use the z-table.The z table shows the area to the left of various z-scores. Thus, if we know the area to the right is .3783 then the area to the left is 1 – .3783 = .6217The z-score that corresponds to a value of .6217 in the z-table is .312. Use the Percentile to Z-Score Calculator.According to the Percentile to Z-Score Calculator, the z-score that corresponds to a percentile of
2025-04-12Age and sex; andABSISD\mathrm{ABSI}_{\text{SD}} – The standard deviation of the calculated ABSI for the chosen age and sex.This calculator uses the gets its mean and standard deviation data for each age and sex bracket from the data available for the population of NHANES.Based on the ABSI z score, the results are classified into five premature mortality risk levels:ABSIz score\boldsymbol{\mathrm{ABSI}_{\text{z\ score}}}Mortality risk−0.868Very low−0.868-0.868 - −0.272-0.272Low−0.272-0.272 - +0.229+0.229Average+0.229+0.229 - 0.7980.798High>0.798>0.798Very high🙋 Our BAI calculator will explain to you another index used to calculate your fitness: the body adiposity index.How to use A Body Shape Index (ABSI) calculator?Using the ABSI calculator is very easy – just follow these steps:Choose your sex.Enter your age (the values must range from 2 to 85 years).Enter your height. Don't worry about the units – our ABSI calculator has a built-in length converter.Enter your weight. Again, don't worry about the units conversion.Input your waist circumference. It should be measured horizontally around the waist, at the level of your belly button.That's all! In the "Results" section, you will be able to see your ABSI score, ABSI z score, and the interpretation of your result.A Body Shape Index – pros and consThe higher the ABSI, the higher the proportion of abdominal fat compared to other body parts. ABSI correlates only slightly with height, weight, and BMI, indicating that it is independent of other anthropometric variables in predicting mortality. It can also predict the risk of cardiovascular disease, cancer, and diabetes.However, the risk calculated with the ABSI score is based only on the body model. Other factors that influence life expectancy (e.g., other illnesses) are not taken into account. We created our diabetes risk calculator and CVD risk calculator to give you a more comprehensive model to calculate those risks.FAQsHow do I calculate the ABSI z-score?To calculate the ABSI z-score, first,
2025-04-23.6217 is .3099.3. Use the invNorm() function on a TI-84 calculator.Using the invNorm() function on a TI-84 calculator, the z-score that corresponds to an area of .6217 to the left is .3099.Example 3: Find Z-Scores Given Area Between Two ValuesFind the z-scores that have 95% of the distribution’s area between them.Method 1: Use the z-table.If 95% of the distribution is located between two z-scores, it means that 5% of the distribution lies outside of the z-scores.Thus, 2.5% of the distribution is less than one of the z-scores and 2.5% of the distribution is greater than the other z-score.Thus, we can look up .025 in the z-table. The z-score that corresponds to .025 in the z-table is -1.96.Thus, the z-scores that contain 95% of the distribution between them are -1.96 and 1.96.2. Use the Percentile to Z-Score Calculator.According to the Percentile to Z-Score Calculator, the z-score that corresponds to a percentile of .025 is -1.96.Thus, the z-scores that contain 95% of the distribution between them are -1.96 and 1.96.3. Use the invNorm() function on a TI-84 calculator.Using the invNorm() function on a TI-84 calculator, the z-score that corresponds to an area of .025 to the left is -1.96.Thus, the z-scores that contain 95% of the distribution between them are -1.96 and 1.96.
2025-03-26DefinitionAltman's Z is commonly employed to assess financial distress. The Altman's Z-score can be calculated from four or five linear combinations of business ratios, weighted by coefficients. Altman's Z is a weighted composite of financial indicators relating to profitability, revenue, slack resources, and market return (Altman, 1968). When interpreting Altman's Z-Score, higher values indicate that firms carry out more actions at a fast pace, while low scores indicate that firms carry out few total actions and respond slowly.The predetermined cut-off scores will be compared to the obtained Z-score value. The assumed values of Altman's score that with a Z-Score less than 1.8 were likely to experience bankruptcy; companies with a Z-score 1.8 to 2.99 were in a zone of ignorance, or a grey zone in which distress may or may not be impending. Last, companies with a Z-score greater than 2.99 were likely to be financially sound. However, there is no single formula that has the power to predict the future; Z-Score users should look at the trend of the business over time as they interpret the score rather than just looking at the score itself, which is only a snapshot in time.Altman's Z-score include the following general analysis1. For public manufacturing firms, a Z-score more than or equal to 3.0 shows the solvency, where a score less than or equal to 1.8 indicates likely suffering2. For private manufacturing firms, a Z-score more than or equal to 2.9 shows the positive score, where a score less than or equal to 1.23 indicates likelihood of bankruptcy3. For private, non-manufacturing firms, a Z-score more than or equal to 2.6 indicates that the bankruptcy is unlikely about to be happening and a score of 1.1 or useful in forecasting bankruptcy as it was to predict other suffering conditionsThe commonly accepted cut-off criteria is a separate bankruptcy analysis model employed in Altman's Z-score calculator. This calculator may provide useful financial distress forecasting in firms functioning in a broad variety of industries.
2025-04-13