2. A sports analyst decides to model baskets scored in a WNBA game as a Poisson process with rate 4.2 per minute. (a) What distribution would you use to model the amount of time until the first score in a WNBA game? Define any parameters you use. (b) Compute the likelihood that the first score occurs between 30-45 seconds. You may leave your answer in terms of exponentials. (c) Suppose the analyst wants to use a x² test for goodness of fit to evaluate whether this distribution is a good model. They record the following data from 30 games: Time of First Score 0-15s 15-30s 30-45s 45-60s 60s+ Count 5 11 4 4 6 Using your answer from (b) what is the expected count for the 30-45s bin? (d) How many degrees of freedom are there for the test statistic in this test?
2. A sports analyst decides to model baskets scored in a WNBA game as a Poisson process with rate 4.2 per minute. (a) What distribution would you use to model the amount of time until the first score in a WNBA game? Define any parameters you use. (b) Compute the likelihood that the first score occurs between 30-45 seconds. You may leave your answer in terms of exponentials. (c) Suppose the analyst wants to use a x² test for goodness of fit to evaluate whether this distribution is a good model. They record the following data from 30 games: Time of First Score 0-15s 15-30s 30-45s 45-60s 60s+ Count 5 11 4 4 6 Using your answer from (b) what is the expected count for the 30-45s bin? (d) How many degrees of freedom are there for the test statistic in this test?
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 2CYU
Related questions
Question
![2.
A sports analyst decides to model baskets scored in a WNBA game as a Poisson process
with rate 4.2 per minute.
(a) What distribution would you use to model the amount of time until the first score in a WNBA
game? Define any parameters you use.
(b) Compute the likelihood that the first score occurs between 30-45 seconds. You may leave your
answer in terms of exponentials.
(c) Suppose the analyst wants to use a x² test for goodness of fit to evaluate whether this distribution
is a good model. They record the following data from 30 games:
Time of First Score 0-15s 15-30s 30-45s 45-60s 60s+
Count
5
11
4
4
6
Using your answer from (b) what is the expected count for the 30-45s bin?
(d) How many degrees of freedom are there for the test statistic in this test?](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F1da88d38-e18c-40f1-9bb8-69bad3269ec7%2F06a35fed-7289-449b-94ca-004f8f128844%2Fwuqaomg_processed.png&w=3840&q=75)
Transcribed Image Text:2.
A sports analyst decides to model baskets scored in a WNBA game as a Poisson process
with rate 4.2 per minute.
(a) What distribution would you use to model the amount of time until the first score in a WNBA
game? Define any parameters you use.
(b) Compute the likelihood that the first score occurs between 30-45 seconds. You may leave your
answer in terms of exponentials.
(c) Suppose the analyst wants to use a x² test for goodness of fit to evaluate whether this distribution
is a good model. They record the following data from 30 games:
Time of First Score 0-15s 15-30s 30-45s 45-60s 60s+
Count
5
11
4
4
6
Using your answer from (b) what is the expected count for the 30-45s bin?
(d) How many degrees of freedom are there for the test statistic in this test?
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Step 1: Write the given information.
VIEWStep 2: Determine the distribution that can be used to model amount of time until first score in WNBA game.
VIEWStep 3: Compute the likelihood that first score occurs between 30 to 45 seconds.
VIEWStep 4: Determine the expected count for the 30 to 45s bin.
VIEWStep 5: Determine the degrees of freedom for the test statistic in this test.
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