Hint: We need to know how to calculate the area under the curve for the given z value using the formula
Here, A represents the area under the normal distribution curve and CL represents the confidence level. We then get the corresponding area. Using this area value, we look up the normal distribution table for the corresponding row and column and add the two to obtain the z value. Complete step-by-step solution:Let us consider the first case for which the given confidence level is 90 percent. In this case, we need to calculate the area under the curve and it can be given as shown in the figure below. \n \n \n \n \n It can be calculated by using the formula
Here, A represents the area under the normal distribution curve and CL represents the confidence level. Substituting the CL value as 0.90, we get
Adding and dividing by 2,
Looking for this value in the normal distribution table given below, we can see that this value lies close to the row containing 1.6 and column containing 0.05. It also lies close to the row containing 1.6 and column containing 0.04. So, we take a mean of these values to obtain the z value at this point.
Hence, the z value at the 90 percent confidence interval is 1.645.\n \n \n \n \n Let us consider the second case for which the given confidence level is 95 percent. In this case, we need to calculate the area under the curve and it can be given as shown in the figure below. \n \n \n \n \n It is calculated by using the formula
Substituting the values,
Adding and dividing by 2,
Looking for this value in the normal distribution table given above, we can see that this value lies on the row containing 1.9 and column containing 0.06. Adding the two values,
Hence, the z value at the 95 percent confidence interval is 1.96.Let us consider the third case for which the given confidence level is 99 percent. In this case too, we need to calculate the area under the curve and it can be given as shown in the figure below. \n \n \n \n \n It is calculated by using the formula
Substituting the values,
Adding and dividing by 2,
Looking for this value in the normal distribution table given above, we can see that this value lies on the row containing 2.5 and column containing 0.08. Adding the two values,
Hence, the z value at the 99 percent confidence interval is 2.58.Note: : It is important to take care while noting down the z value from the table, since it can be confusing and it is common to make errors while reading data from a table usually. It is important to know the concept of probability and statistics to solve this question. Answer from Vedantu Content Team on vedantu.com
Alchemer
alchemer.com › home › blog › how to calculate confidence intervals
Mastering the Calculation of Confidence Intervals
December 5, 2024 - Since they have decided to use a 95 percent confidence interval, the researchers determine that Z = 1.960.
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What is the z-score for a 90% confidence interval?
Z-score for 90% confidence interval, or Z(0.90), equals 1.645.
omnicalculator.com
omnicalculator.com › statistics › 90-confidence-interval
90% Confidence Interval Calculator
What is a confidence interval?
A confidence interval is a range of values that likely contains the true population parameter. For example, a 95% confidence interval means we're 95% confident the true value falls within that range. Z-scores help calculate these intervals.
z-table.com
z-table.com › 90-confidence-interval-z-score.html
90 Confidence Interval Z Score - Z SCORE TABLE
How do I calculate a 90% confidence interval?
To count the 90% confidence interval:
-
First, calculate the standard error (SE) and the margin of error (ME):
SE = σ/√n
ME = SE × Z(0.90)where σ is the standard deviation, n - sample size, Z(0.90) — z-score for 90% confidence interval.
-
Then determine the confidence interval range, using ME and μ — the calculated average (mean):
upper bound = μ + ME
lower bound = μ - ME
omnicalculator.com
omnicalculator.com › statistics › 90-confidence-interval
90% Confidence Interval Calculator
Penn State University
online.stat.psu.edu › stat200 › lesson › 7 › 7.4 › 7.4.2
7.4.2 - Confidence Intervals | STAT 200
For a 90% confidence interval, we would find the z scores that separate the middle 90% of the z distribution from the outer 10% of the z distribution:
Z Score Table
z-table.com › 90-confidence-interval-z-score.html
90 Confidence Interval Z Score - Z SCORE TABLE
To begin our exploration, let's understand the z-score associated with a 90% confidence interval. The z-score represents the number of standard deviations a given value is from the mean of a distribution. For a 90% confidence interval, the z-score is approximately 1.645.
University of Kentucky
ms.uky.edu › ~mai › sta291 › formulasheet2.pdf pdf
confidence level 90% 95% 99% 1.645 1.96 2.575 ...
• Confidence interval for the population mean, µ, when σ is . . . . . . known: ¯X ± z · σ · √n · . . . unknown: ¯X ± t · · s · √n · df = n −1 · • z-Score for an individual observation · z = x −µ · σ · x = µ + z · σ · • Sample mean ¯X ·
ArcGIS Pro
pro.arcgis.com › en › pro-app › latest › tool-reference › spatial-statistics › what-is-a-z-score-what-is-a-p-value.htm
What is a z-score? What is a p-value?—ArcGIS Pro | Documentation
Typical confidence levels are 90, 95, or 99 percent. A confidence level of 99 percent would be the most conservative in this case, indicating that you are unwilling to reject the null hypothesis unless the probability that the pattern was created by random chance is really small (less than ...
Saylor Academy
learn.saylor.org › mod › book › tool › print › index.php
Confidence Intervals | Saylor Academy
Suppose that our sample has a mean of \(\overline x= 10\), and we have constructed the 90 percent confidence interval (5, 15) where EBM = 5. To get a 90 percent confidence interval, we must include the central 90 percent of the probability of the normal distribution.
Brainly
brainly.com › mathematics › high school › calculate the z-scores for the following confidence intervals:
a. 90% confidence interval
b. 94% confidence interval
c. 60% confidence interval
[FREE] Calculate the Z-scores for the following confidence intervals: A. 90% confidence interval B. 94% - brainly.com
The Z-scores for the specified confidence intervals are approximately 1.645 for 90%, 1.880 for 94%, and 0.841 for 60%. Z-scores are derived from the standard normal distribution to indicate how many standard deviations a point is from the mean.
PubMed Central
pmc.ncbi.nlm.nih.gov › articles › PMC5723800
Using the confidence interval confidently - PMC
The point estimate refers to the statistic calculated from sample data. The critical value or z value depends on the confidence level and is derived from the mathematics of the standard normal curve. For confidence levels of 90%, 95% and 99% the z value is 1.65, 1.96 and 2.58, respectively.
askIITians
askiitians.com › forums › 11-grade-maths-others › what-is-the-z-value-for-a-90-95-and-99-percent-c-25_473321.htm
What is the z value for a 90, 95, and 99 percent confidence interval? - askIITians
July 13, 2025 - The z-value for a 90% confidence interval is approximately 1.645. 95% Confidence Interval: Here, 2.5% of the area is in each tail (100% - 95% = 5%, divided by 2). The z-value for a 95% confidence interval is about 1.96. 99% Confidence Interval: For this level, 0.5% of the area is in each tail ...
Yale Statistics
stat.yale.edu › Courses › 1997-98 › 101 › confint.htm
Confidence Intervals
Suppose the student was interested ... for this level is equal to 1.645, so the 90% confidence interval is ((101.82 - (1.645*0.49)), (101.82 + (1.645*0.49))) = (101.82 - 0.81, 101.82 + 0.81) = (101.01, 102.63)...
Statistics LibreTexts
stats.libretexts.org › campus bookshelves › las positas college › math 40: statistics and probability › 7: confidence intervals and sample size
7.2: Confidence Intervals for the Mean with Known Standard Deviation - Statistics LibreTexts
August 8, 2020 - Suppose that our sample has a mean of \(\bar{x} = 10\), and we have constructed the 90% confidence interval (5, 15) where \(EBM = 5\). To get a 90% confidence interval, we must include the central 90% of the probability of the normal distribution.
Penn State Statistics
online.stat.psu.edu › stat200 › book › export › html › 442
7.4.2 - Confidence Intervals
For a 90% confidence interval, the \(z^*\) multiplier will be 1.64485. Note: Refer back to 7.3.3 for directions on using Minitab to find multipliers. 7.4.2.1 - Video Example: 98% CI for Mean Atlanta Commute Time · Construct a 98% confidence interval to estimate the mean commute time in the ...
Lumen Learning
courses.lumenlearning.com › suny-fmcc-introstats1 › chapter › a-single-population-mean-using-the-normal-distribution
A Single Population Mean using the Normal Distribution | Introduction to Statistics – Gravina
To get a 90% confidence interval, we must include the central 90% of the probability of the normal distribution. If we include the central 90%, we leave out a total of α = 10% in both tails, or 5% in each tail, of the normal distribution. To capture the central 90%, we must go out 1.645 ...
Homework.Study.com
homework.study.com › explanation › find-the-critical-z-score-value-for-the-90-confidence-level.html
Find the critical z-score value for the 90% confidence level. | Homework.Study.com
Find the standard z-score such that 80% of the distribution is below (to the left of) this value. In order to find a 90% confidence interval we need to find values a and b such that for Z ~ N (mu = 0, sigma = 1),P (a less than Z less than b) = 0.9 (a) Suppose a = -2.3142, find b.
Evolytics
evolytics.com › resources › calculators › abtesting-zscore-to-confidence
Z-Score to Confidence Calculator | A/B Testing ...
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