The data presented is a study of obesity in children 5-10 years of age who are seeking medical care at a particular pediatric practice within the past 12 months. Age (years) 5 6 8 9 10 Total Boys 432 379 501 410 420 418 2560 Girls 408 513 412 436 461 500 2730 Totals 840 892 913 846 881 918 5290 (Data Source e) 1. What is the probability of selecting a girl, P(girl)? 2. What is the probability of selecting a boy who is 9 years old, P(9 year old boy)? 3. What is the probability of selecting a child (boy or girl) who is at least 7 years old, P(child at least 7 years old)? Discussion Prompts Respond to the following prompts in your initial post: 1. What are the three types of probability? Provide an example for each one. 2. Based on the video and the three types of probability, what type of probability did John Snow use? Briefly explain your reasoning. 3. Provide your answer to the following probability questions using the data provided in the table. 1. What is the probability of selecting a girl, P(girl)? 2. What is the probability of selecting a boy who is 9 years old, P(9 year old boy)? 3. What is the probability of selecting a child (boy or girl) who is at least 7 years old, P(child at least 7 years old)? After you complete your initial post, respond to your classmates in a respectful way. When replying to classmates, discuss: 1. What similarities and differences did you find among your answer and that of your colleagues in regards to the probability that John Snow used? 2. What format did you present the calculated probabilities in #3? For this question, did you present the probabilities as a proportion, decimal, or percentage? Discuss which format you preferred and why.
The data presented is a study of obesity in children 5-10 years of age who are seeking medical care at a particular pediatric practice within the past 12 months. Age (years) 5 6 8 9 10 Total Boys 432 379 501 410 420 418 2560 Girls 408 513 412 436 461 500 2730 Totals 840 892 913 846 881 918 5290 (Data Source e) 1. What is the probability of selecting a girl, P(girl)? 2. What is the probability of selecting a boy who is 9 years old, P(9 year old boy)? 3. What is the probability of selecting a child (boy or girl) who is at least 7 years old, P(child at least 7 years old)? Discussion Prompts Respond to the following prompts in your initial post: 1. What are the three types of probability? Provide an example for each one. 2. Based on the video and the three types of probability, what type of probability did John Snow use? Briefly explain your reasoning. 3. Provide your answer to the following probability questions using the data provided in the table. 1. What is the probability of selecting a girl, P(girl)? 2. What is the probability of selecting a boy who is 9 years old, P(9 year old boy)? 3. What is the probability of selecting a child (boy or girl) who is at least 7 years old, P(child at least 7 years old)? After you complete your initial post, respond to your classmates in a respectful way. When replying to classmates, discuss: 1. What similarities and differences did you find among your answer and that of your colleagues in regards to the probability that John Snow used? 2. What format did you present the calculated probabilities in #3? For this question, did you present the probabilities as a proportion, decimal, or percentage? Discuss which format you preferred and why.
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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Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
Topic Video
Question
Transcribed Image Text:The data presented is a study of obesity in children 5-10 years of age who are seeking medical care at a particular pediatric practice within the past 12 months.
Age (years)
5
6
7
8
9
10
Total
Boys
432
379
501
410
420
418
2560
Girls
408
513
412
436
461
500
2730
Totals
840
892
913
846
881
918
5290
(Data Source )
1. What is the probability of selecting a girl, P(girl)?
2. What is the probability of selecting a boy who is 9 years old, P(9 year old boy)?
3. What is the probability of selecting a child (boy or girl) who is at least 7 years old, P(child at least 7 years old)?
Discussion Prompts
Respond to the following prompts in your initial post:
1. What are the three types of probability? Provide an example for each one.
2. Based on the video and the three types of probability, what type of probability did John Snow use? Briefly explain your reasoning.
3. Provide your answer to the following probability questions using the data provided in the table.
1. What is the probability of selecting a girl, P(girl)?
2. What is the probability of selecting a boy who is 9 years old, P(9 year old boy)?
3. What is the probability of selecting a child (boy or girl) who is at least 7 years old, P(child at least 7 years old)?
After you complete your initial post, respond to your classmates in a respectful way. When replying to classmates, discuss:
1. What similarities and differences did you find among your answer and that of your colleagues in regards to the probability that John Snow used?
2. What format did you present the calculated probabilities in #3? For this question, did you present the probabilities as a proportion, decimal, or percentage? Discuss which format you preferred and why.
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