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Ch. 6 - Normal Probability Distributions
Triola - Elementary Statistics 14th Edition
Triola14th EditionElementary StatisticsISBN: 9780137366446당신이 사용하는 게 아니라요?교과서 변경
6장, 문제 6.1.42

Critical Values. In Exercises 41–44, find the indicated critical value. Round results to two decimal places.


z0.90

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Step 1: Understand the problem. The critical value z0.90 represents the z-score that corresponds to a cumulative area of 0.90 under the standard normal distribution curve.
Step 2: Recall that the cumulative area under the standard normal curve to the left of a z-score is given by the standard normal distribution table or a statistical calculator.
Step 3: To find z0.90, locate the z-score where the cumulative probability (area to the left) is 0.90. This can be done using a z-table or statistical software.
Step 4: If using a z-table, find the closest cumulative probability to 0.90 in the table and identify the corresponding z-score. If using software, input the cumulative probability of 0.90 to obtain the z-score.
Step 5: Round the resulting z-score to two decimal places as specified in the problem.

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주요 개념

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Critical Value

A critical value is a point on the scale of the test statistic beyond which we reject the null hypothesis. In the context of a normal distribution, it represents the z-score that corresponds to a specified level of significance or confidence level. For example, a critical value of z0.90 indicates the z-score that leaves 10% in the upper tail of the distribution.
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05:50
Critical Values: t-Distribution

Z-Score

A z-score is a statistical measurement that describes a value's relationship to the mean of a group of values. It is calculated by subtracting the mean from the value and then dividing by the standard deviation. Z-scores are used in hypothesis testing and confidence intervals to determine how far away a data point is from the mean in terms of standard deviations.
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06:31
Z-Scores From Given Probability - TI-84 (CE) Calculator

Standard Normal Distribution

The standard normal distribution is a normal distribution with a mean of 0 and a standard deviation of 1. It is used as a reference for calculating probabilities and critical values. Any normal distribution can be transformed into a standard normal distribution using z-scores, allowing for easier comparison and analysis of different datasets.
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09:47
Finding Standard Normal Probabilities using z-Table
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