How to calculate Z-scores (formula review) (article) | Khan Academy (2024)

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  • 😊

    8 years agoPosted 8 years ago. Direct link to 😊's post “how do I calculate the pr...”

    how do I calculate the probability of a z-score?

    (20 votes)

    • Piquan

      8 years agoPosted 8 years ago. Direct link to Piquan's post “That's a great question! ...”

      How to calculate Z-scores (formula review) (article) | Khan Academy (4)

      How to calculate Z-scores (formula review) (article) | Khan Academy (5)

      That's a great question! Fortunately, the next set of lessons, at https://www.khanacademy.org/math/statistics-probability/modeling-distributions-of-data/normal-distributions-library/v/ck12-org-normal-distribution-problems-qualitative-sense-of-normal-distributions , discuss exactly that. It's great that you're thinking ahead!

      (27 votes)

  • Nick Leshuk

    8 years agoPosted 8 years ago. Direct link to Nick Leshuk's post “how do you calculate the ...”

    how do you calculate the mean when you are only given the z-scores?

    (5 votes)

    • RacheLee

      8 years agoPosted 8 years ago. Direct link to RacheLee's post “To calculate the mean, yo...”

      How to calculate Z-scores (formula review) (article) | Khan Academy (9)

      To calculate the mean, you need to know z-scores, the data, and the standard deviation.
      z-score=(data-mean)/standard deviation
      data-mean=(z-score)(standard deviation)
      mean=(data)-(z-score)(standard deviation)

      (14 votes)

  • Tou

    6 years agoPosted 6 years ago. Direct link to Tou's post “how do you calculate this...”

    how do you calculate this: µ=10 and σ =1, P(X>10)

    (6 votes)

  • Shaghayegh

    4 years agoPosted 4 years ago. Direct link to Shaghayegh's post “Is it necessary to assume...”

    Is it necessary to assume the distribution is normal?

    (3 votes)

    • loumast17

      4 years agoPosted 4 years ago. Direct link to loumast17's post “to use z scores. If not,...”

      to use z scores. If not, or you do not know the population standard deviation you would use a different kind of score called the t score

      For z scoreyou need both the population standard deviation and for the sample to be greater than 30.

      There are other aspects in statistics where having a normal distribution is necessary.

      (7 votes)

  • 1315031658

    7 years agoPosted 7 years ago. Direct link to 1315031658's post “How do you find the data ...”

    How do you find the data when you have the mean, the z-score, and the standard deviation?

    (2 votes)

    • Ian Pulizzotto

      7 years agoPosted 7 years ago. Direct link to Ian Pulizzotto's post “Let x represent the data ...”

      Let x represent the data value, mu represent the mean, sigma represent the standard deviation, and z represent the z-score.
      Since the z-score is the number of standard deviations above the mean, z = (x - mu)/sigma.
      Solving for the data value, x, gives the formula x = z*sigma + mu.

      So the data value equals the z-score times the standard deviation, plus the mean.

      Have a blessed, wonderful day!

      (7 votes)

  • sebastian grez

    8 years agoPosted 8 years ago. Direct link to sebastian grez's post “what happens when you get...”

    what happens when you get the number of X-U/standar desviation ahd you get a number above 3, that number will not be in the tabla of Z

    (4 votes)

    • psthmn

      8 years agoPosted 8 years ago. Direct link to psthmn's post “You could try to find a m...”

      You could try to find a more extensive Z table, for example here: http://www.intmath.com/counting-probability/z-table.php

      But at a certain point the difference in probality at changing z values gets vanishingly small, so it doesn't really matter what the actual value at that point is. If you are faced with this situation, in most cases P > P(Z=3) is a useful and sufficient answer.

      (1 vote)

  • Bryan

    4 years agoPosted 4 years ago. Direct link to Bryan's post “Are z-scores only applica...”

    Are z-scores only applicable for normal distributions? You could describe how many standard deviations far a data point is from the mean for any distribution right? But is the term z-score only for normal dists?

    (3 votes)

    • Rebecca

      4 years agoPosted 4 years ago. Direct link to Rebecca's post “The z-score could be appl...”

      The z-score could be applied to any standard distribution or data set. It definition only depends on the (arithmetic) mean and standard deviation, and no other qualitative properties of the nature of the data set.

      (2 votes)

  • Samael Pena

    5 years agoPosted 5 years ago. Direct link to Samael Pena's post “What if I don't have the ...”

    What if I don't have the score but only the Z score. How can I calculate what the score is

    (3 votes)

  • muhammad fajar rizqi

    7 years agoPosted 7 years ago. Direct link to muhammad fajar rizqi's post “Hello Everybody, I want t...”

    Hello Everybody, I want to ask, how to calculate that has z-score is more than 3 or -3? because sometimes i calculate the z-score and can't get the result because it's out of range from the z-table. Thank you

    (3 votes)

  • Rosivette Andrade

    5 years agoPosted 5 years ago. Direct link to Rosivette Andrade's post “Would anyone mind explain...”

    Would anyone mind explaining this ?
    For a normal distribution of 1000 cases, how many cases will be farther away from the mean than + 3 standard deviations?

    A. about 2
    B. at least 500
    C. it is impossible to estimate
    D. 327

    (2 votes)

How to calculate Z-scores (formula review) (article) | Khan Academy (2024)

FAQs

How to calculate Z-scores (formula review) (article) | Khan Academy? ›

Let x represent the data value, mu represent the mean, sigma represent the standard deviation, and z represent the z-score. Since the z-score is the number of standard deviations above the mean, z = (x - mu)/sigma. Solving for the data value, x, gives the formula x = z*sigma + mu.

What is the formula for calculating the z-score? ›

Z Score = (x − x̅ )/σ

x = Standardized random variable. x̅ = Mean. σ = Standard deviation.

How do you calculate the z-score in AP stats? ›

Explanation: A z score is unique to each value within a population. To find a z score, subtract the mean of a population from the particular value in question, then divide the result by the population's standard deviation.

How to calculate z-score calculator? ›

To find the z-score on a regular calculator, follow these steps:
  1. Calculate the mean as (∑x) / n .
  2. Calculate the standard deviation using the easy-to-type formula (∑(x²) - (∑x)²/n) / n . The divisor is modified to n - 1 for sample data.
  3. Calculate the z-score using the formula z = (x - mean) / standard deviation .
Jun 7, 2024

What is the rule of thumb for z-scores? ›

Rules of thumb regarding spread

At least 75% of the data will be within two standard deviations of the mean. At least 89% of the data will be within three standard deviations of the mean. Data beyond two standard deviations away from the mean is considered "unusual" data.

What is the original z-score formula? ›

The original Z-score formula was as follows: Z = 1.2X1 + 1.4X2 + 3.3X3 + 0.6X4 + 1.0X5. X1 = ratio of working capital to total assets. Measures liquid assets in relation to the size of the company.

What is the formula for z-score for a child? ›

Based on body mass Index (BMI)

Z-score and percentile equivalence: 3SD=0.1%; 2SD=2.3%; 1SD=15.9%; +1SD=84.1%; +2SD=97.7%; +3SD=99.9%.

How do you calculate critical z-score? ›

To calculate the critical z value for any confidence level, look for 1−α/2 value in the z table. For the 95% level, look for 0.975, not 0.95, to note the value of 1.96. Similarly, for 90% and 99% confidence levels, the critical z values are 1.645 and 2.575, respectively.

How to calculate z-score in Excel? ›

The formula for computing a z-score is =(DataValue-Mean)/StDev. For example, to compute a z- score for the first value in our data set, we use the formula =(A2-$D$2)/$E$2 as Figure 1 illustrates. Notice the dollar signs $ in the formula.

What is the z-score for 95% to the left? ›

Z-scores are equated to confidence levels. If your two-sided test has a z-score of 1.96, you are 95% confident that that Variant Recipe is different than the Control Recipe.

What is the rule for rounding z-scores? ›

To use the table, which is easier than it might look at first sight, we start with our z-score, 0.67 (if our z-score had more than two decimal places, for example, ours was 0.6667, we would round it up or down accordingly; hence, 0.6667 would become 0.67).

What is the formula for the Z table? ›

Solution: To find the z-score, we use the formula: z = (x - mean) / standard deviation. Plugging in the values, we get: z = (70,000 - 50,000) / 10,000 = 2 The z-score for a participant who earns $70,000 is 2, which means that this participant's income is 2 standard deviations above the mean income of the group.

What is the formula for the z-score of a sample size? ›

The formula for determining sample size to ensure that the test has a specified power is given below: where α is the selected level of significance and Z 1-α /2 is the value from the standard normal distribution holding 1- α/2 below it. For example, if α=0.05, then 1- α/2 = 0.975 and Z=1.960.

What is the formula for the z value in the z test? ›

If x̅ is the sample mean, μ0 is the population mean, σ is the standard deviation, and n is the sample size, then the z-trial formula is expressed as follows: Z = (x̅ – μ0) / (σ /√n).

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