how to fine this. The confidence level is 99%, so the Z-score is approximately 2.576 (you can find this value in a standard Z-table or using a calculator)
Question
how to fine this. The confidence level is 99%, so the Z-score is approximately 2.576 (you can find this value in a standard Z-table or using a calculator)
Solution
It seems like you're asking how to find the Z-score for a 99% confidence level. Here are the steps:
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Identify the confidence level: In this case, the confidence level is 99%.
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Convert the confidence level to a two-tailed test: Since we're dealing with a two-tailed test (meaning we're considering both ends of the distribution), we need to adjust the confidence level. The two-tailed confidence level is 100% - (100% - 99%)/2 = 99.5%.
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Look up the Z-score in a standard Z-table: A Z-table, also known as a standard normal table or unit normal table, is a mathematical table that shows the cumulative probabilities for a standard normal distribution. For a confidence level of 99.5%, the Z-score is approximately 2.576.
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If you don't have a Z-table, you can use a calculator: Many scientific calculators have a function that allows you to calculate the Z-score. You would input the confidence level (in this case, 0.995 for 99.5%) and the calculator would give you the Z-score.
So, the Z-score for a 99% confidence level is approximately 2.576.
Similar Questions
First, we need to find the Z-score that corresponds to a 94% confidence level. The Z-score for a 94% confidence level is approximately 1.88 (you can find this value in a standard Z-table or using a calculator).
What is the z-score of 99% confidence 1 point2.581.960.99
What is the z-score of 85% confidence 1 point1.651.441.28
If a z score of 2.33 is obtained, we know that the person’s raw scorea.is lower than the scores of most others on the testb.is about averagec.is above averaged.falls at the 84th percentile
Critical Z values are the number of standard deviations you need to go in either direction from your sample results to build a confidence interval. Your sample results are only an estimate of the true parameter p and thus you need to add a "fudge factor" to each side of this number. The technical term for this fudge factor is "margin of error" and is the product of your critical z (z*) multiplied by your standard error (s.e.). See the Canvas Lesson 6.1 and 6.2 on how to calculate a critical value.Find the critical values for the following levels of confidence.Level of ConfidenceCritical Z (Z*)Feedback95%90%99%86%70%What relationship do you see between your desired level of confidence and your critical z?
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