Use the table to answer the question. Note: Round z-scores to the nearest hundredth and then find the required A values using the table. A manufacturer of light bulbs finds that one light bulb model has a mean life span of 1030 h with a standard deviation of 85 h. What percent of these light bulbs will last as follows? (Round your answers to one decimal place.) (a) at least 990 h % (b) between 840 and 890 h
Use the table to answer the question. Note: Round z-scores to the nearest hundredth and then find the required A values using the table. A manufacturer of light bulbs finds that one light bulb model has a mean life span of 1030 h with a standard deviation of 85 h. What percent of these light bulbs will last as follows? (Round your answers to one decimal place.) (a) at least 990 h % (b) between 840 and 890 h
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
Use the table to answer the question. Note: Round z-scores to the nearest hundredth and then find the required A values using the table.
A manufacturer of light bulbs finds that one light bulb model has a
(a) at least 990 h
%
(b) between 840 and 890 h
%
(b) between 840 and 890 h
![**Area Under the Standard Normal Curve**
This table provides the area under the standard normal curve for various values of \( z \). The table is organized in columns, each beginning with a specific \( z \) value and its corresponding area \( A \). Here is the structure of the table:
- Each row represents a different \( z \) value and the associated area \( A \) under the standard normal distribution from the mean to that \( z \) value.
- The columns are labeled with pairs of \( z \) values and areas \( A \).
- The table is divided into several sections horizontally, with each section showing incremental increases in the \( z \) value.
**Sample Transcription of Selected Data Points:**
- \( z = 0.00 \), \( A = 0.000 \)
- \( z = 0.01 \), \( A = 0.004 \)
- \( z = 1.12 \), \( A = 0.369 \)
- \( z = 1.68 \), \( A = 0.454 \)
- \( z = 2.24 \), \( A = 0.487 \)
- \( z = 2.80 \), \( A = 0.497 \)
**Description of Data Use:**
This table is used to find the cumulative probability associated with a standard normal distribution up to a given \( z \) value. For example, if you need to find the probability that a standard normal random variable is less than \( z = 1.34 \), you would locate \( z = 1.34 \) and find the corresponding area \( A = 0.409 \).
The table is useful in statistical analysis for converting standard scores (\( z \)-scores) to probabilities and vice versa, which is essential for various confidence interval estimations and hypothesis testing.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F87ee8f8b-2676-4da5-af78-cc3c571d37d8%2Ffdbe900c-959c-4f70-bdcf-17ec5056dd71%2Ffrrpkmr_processed.gif&w=3840&q=75)
Transcribed Image Text:**Area Under the Standard Normal Curve**
This table provides the area under the standard normal curve for various values of \( z \). The table is organized in columns, each beginning with a specific \( z \) value and its corresponding area \( A \). Here is the structure of the table:
- Each row represents a different \( z \) value and the associated area \( A \) under the standard normal distribution from the mean to that \( z \) value.
- The columns are labeled with pairs of \( z \) values and areas \( A \).
- The table is divided into several sections horizontally, with each section showing incremental increases in the \( z \) value.
**Sample Transcription of Selected Data Points:**
- \( z = 0.00 \), \( A = 0.000 \)
- \( z = 0.01 \), \( A = 0.004 \)
- \( z = 1.12 \), \( A = 0.369 \)
- \( z = 1.68 \), \( A = 0.454 \)
- \( z = 2.24 \), \( A = 0.487 \)
- \( z = 2.80 \), \( A = 0.497 \)
**Description of Data Use:**
This table is used to find the cumulative probability associated with a standard normal distribution up to a given \( z \) value. For example, if you need to find the probability that a standard normal random variable is less than \( z = 1.34 \), you would locate \( z = 1.34 \) and find the corresponding area \( A = 0.409 \).
The table is useful in statistical analysis for converting standard scores (\( z \)-scores) to probabilities and vice versa, which is essential for various confidence interval estimations and hypothesis testing.
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