1. Explain the difference in use and computation between the z test and the t test.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.3: Measures Of Spread
Problem 1GP
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Question
![CRITICAL
THINKING
CHECK
8.3
1. Explain the difference in use and computation between the z test
and the t test.
2. Test the following hypothesis using the t test: Researchers are
interested in whether the pulses of long-distance runners differ from
those of other athletes. They suspect that the runners' pulses will
be slower. They obtain a random sample (N = 8) of long-distance
runners, measure their resting pulses, and obtain the following data:
45, 42, 64, 54, 58, 49, 47, 55 beats per minute. The average resting
pulse of athletes in the general population is 60 beats per minute.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F693abaf8-8d2b-4329-88d2-23ce699204fe%2F9032db26-46a9-4aa4-89f8-c44737e41608%2Fblwevr5_processed.png&w=3840&q=75)
Transcribed Image Text:CRITICAL
THINKING
CHECK
8.3
1. Explain the difference in use and computation between the z test
and the t test.
2. Test the following hypothesis using the t test: Researchers are
interested in whether the pulses of long-distance runners differ from
those of other athletes. They suspect that the runners' pulses will
be slower. They obtain a random sample (N = 8) of long-distance
runners, measure their resting pulses, and obtain the following data:
45, 42, 64, 54, 58, 49, 47, 55 beats per minute. The average resting
pulse of athletes in the general population is 60 beats per minute.
Expert Solution
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Hi! Thank you for the question. As per the honor code, we are allowed to answer 1 question at a time, so we are answering the first question as you have not mentioned which of these you are looking for. Please re-submit the question separately for the remaining questions.
There are two types of test used to test the significance difference of population mean.
- -test
- -test
Both tests are statistical test.
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