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Pathway: Health Sciences Cancer Type Men Women Breast 191105 Cervix uteri 110749 Thyroid Leukemia Colorectal 15681 62887 28020 21273 20062 21055 Liver 31767 8953 Brain and CNS 22822 17541 Non-Hodgkin's Lymphoma 23746 16466 Testis 30580 Lung Melanoma of skin 13080 9432 9553 15695 All cancers 342721 632675 Above is data for the estimated new cancer cases among 20-39 vear-olds worldwide in 2012. Note: Since there are so many types of cancer, not all are listed, however, the total for all cancers is listed in the last row. Use these numbers for totals (instead of adding the truncated chart). Use this information to answer the following questions. 1. Find the probability that the patient was male. 2. Find the probability that the patient had thyroid cancer, given that the patient was male. 3. Find the probability that the patient had liver cancer or lung cancer. 4. Find the probability that the patient had melanoma of the skin. 5. Find the probability that the patient was male, given they had thyroid cancer.

Pathway: Health Sciences Cancer Type Men Women Breast 191105 Cervix uteri 110749 Thyroid Leukemia Colorectal 15681 62887 28020 21273 20062 21055 Liver 31767 8953 Brain and CNS 22822 17541 Non-Hodgkin's Lymphoma 23746 16466 Testis 30580 Lung Melanoma of skin 13080 9432 9553 15695 All cancers 342721 632675 Above is data for the estimated new cancer cases among 20-39 vear-olds worldwide in 2012. Note: Since there are so many types of cancer, not all are listed, however, the total for all cancers is listed in the last row. Use these numbers for totals (instead of adding the truncated chart). Use this information to answer the following questions. 1. Find the probability that the patient was male. 2. Find the probability that the patient had thyroid cancer, given that the patient was male. 3. Find the probability that the patient had liver cancer or lung cancer. 4. Find the probability that the patient had melanoma of the skin. 5. Find the probability that the patient was male, given they had thyroid cancer.

A First Course in Probability (10th Edition)
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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A Share Comments 处|可 AaBbCcDc AaBbCcDc AaBbC AABBCCC AaB O Find - ab x x A A- BI |三。| S Replace T Normal T No Spa... Heading 1 Heading 2 Dictate Title Editor Select Font Paragraph Styles Editing Voice Editor Pathway: Health Sciences Cancer Type Men Women Breast 191105 sults Cervix uteri 0. 110749 Thyroid Leukemia Colorectal 15681 62887 28020 21273 of your document. 21055 20062 Liver 31767 8953 of where you are or quickly Brain and CNS 22822 17541 Non-Hodgkin's Lymphoma 23746 16466 Testis 30580 0. e tab and apply Heading styles ment. 9432 Lung Melanoma of skin 13080 9553 15695 All canceIS 342721 632675 Above is data for the estimated new cancer cases among 20-39 year-olds worldwide in 2012. Note: Since there are so many types of cancer, not all are listed, however, the total for all cancers is listed in the last row. Use these numbers for totals (instead of adding the truncated chart). Use this information to answer the following questions. 1. Find the probability that the patient was male. 2. Find the probability that the patient had thyroid cancer, given that the patient was male. 3. Find the probability that the patient had liver cancer or lung cancer. 4. Find the probability that the patient had melanoma of the skin. 5. Find the probability that the patient was male, given they had thyroid cancer. O Focus 5:57 AM 4/26/2031 arch
Transcribed Image Text:A Share Comments 处|可 AaBbCcDc AaBbCcDc AaBbC AABBCCC AaB O Find - ab x x A A- BI |三。| S Replace T Normal T No Spa... Heading 1 Heading 2 Dictate Title Editor Select Font Paragraph Styles Editing Voice Editor Pathway: Health Sciences Cancer Type Men Women Breast 191105 sults Cervix uteri 0. 110749 Thyroid Leukemia Colorectal 15681 62887 28020 21273 of your document. 21055 20062 Liver 31767 8953 of where you are or quickly Brain and CNS 22822 17541 Non-Hodgkin's Lymphoma 23746 16466 Testis 30580 0. e tab and apply Heading styles ment. 9432 Lung Melanoma of skin 13080 9553 15695 All canceIS 342721 632675 Above is data for the estimated new cancer cases among 20-39 year-olds worldwide in 2012. Note: Since there are so many types of cancer, not all are listed, however, the total for all cancers is listed in the last row. Use these numbers for totals (instead of adding the truncated chart). Use this information to answer the following questions. 1. Find the probability that the patient was male. 2. Find the probability that the patient had thyroid cancer, given that the patient was male. 3. Find the probability that the patient had liver cancer or lung cancer. 4. Find the probability that the patient had melanoma of the skin. 5. Find the probability that the patient was male, given they had thyroid cancer. O Focus 5:57 AM 4/26/2031 arch
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