Ms. Aquina has just had a biopsy on a possibly cancerous tumor. Not wanting to spoil a weekend family event , she does not want to hear any bad news in the next few days. But if she tells the doctor to call only if the news is good, then if the doctor does not call, Ms. Aquina can conclude that the news is bad. So, being a student of probability . Ms. Aquina instructs the doctor to flip a coin. If it comes up heads, the doctor is to call if the news is good and not call if the news is bad, if the coin comes up tails, the doctor is not to call, in this way, even if the doctor doesn’t call, the news is not necessarily bad. Let be the probability that the tumor is cancerous: let be the conditional probability that the tumor is cancerous given that the doctor does not call. a. Which should be larger, α or β b. Find β in terms of α , and prove your answer in part (a).
Ms. Aquina has just had a biopsy on a possibly cancerous tumor. Not wanting to spoil a weekend family event , she does not want to hear any bad news in the next few days. But if she tells the doctor to call only if the news is good, then if the doctor does not call, Ms. Aquina can conclude that the news is bad. So, being a student of probability . Ms. Aquina instructs the doctor to flip a coin. If it comes up heads, the doctor is to call if the news is good and not call if the news is bad, if the coin comes up tails, the doctor is not to call, in this way, even if the doctor doesn’t call, the news is not necessarily bad. Let be the probability that the tumor is cancerous: let be the conditional probability that the tumor is cancerous given that the doctor does not call. a. Which should be larger, α or β b. Find β in terms of α , and prove your answer in part (a).
Solution Summary: The author explains how the larger beta is the conditional probability that the tumor is cancerous.
Ms. Aquina has just had a biopsy on a possibly cancerous tumor. Not wanting to spoil a weekend family event, she does not want to hear any bad news in the next few days. But if she tells the doctor to call only if the news is good, then if the doctor does not call, Ms. Aquina can conclude that the news is bad. So, being a student of probability. Ms. Aquina instructs the doctor to flip a coin. If it comes up heads, the doctor is to call if the news is good and not call if the news is bad, if the coin comes up tails, the doctor is not to call, in this way, even if the doctor doesn’t call, the news is not necessarily bad. Let be the probability that the tumor is cancerous: let be the conditional probability that the tumor is cancerous given that the doctor does not call.
a. Which should be larger,
α
or
β
b. Find
β
in terms of
α
, and prove your answer in part (a).
3. A different 7-Eleven has a bank of slurpee fountain heads. Their available flavors are as follows: Mountain
Dew, Mountain Dew Code Red, Grape, Pepsi and Mountain Dew Livewire. You fill five different cups full
with each type of flavor. How many different ways can you arrange the cups in a line if exactly two Mountain
Dew flavors are next to each other?
3.2.1
Answer questions 8.3.3 and 8.3.4 respectively
8.3.4 .WP An article in Medicine and Science in Sports and
Exercise [“Electrostimulation Training Effects on the Physical Performance of Ice Hockey Players” (2005, Vol. 37, pp.
455–460)] considered the use of electromyostimulation (EMS) as
a method to train healthy skeletal muscle. EMS sessions consisted of 30 contractions (4-second duration, 85 Hz) and were carried
out three times per week for 3 weeks on 17 ice hockey players.
The 10-meter skating performance test showed a standard deviation of 0.09 seconds. Construct a 95% confidence interval of the
standard deviation of the skating performance test.
8.6.7 Consider the tire-testing data in Exercise 8.2.3. Compute a 95% tolerance interval on the life of the tires that has confidence level 95%. Compare the length of the tolerance interval with the length of the 95% CI on the population mean. Which interval is shorter? Discuss the difference in interpretation of these two intervals.
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, probability and related others by exploring similar questions and additional content below.
Discrete Distributions: Binomial, Poisson and Hypergeometric | Statistics for Data Science; Author: Dr. Bharatendra Rai;https://www.youtube.com/watch?v=lHhyy4JMigg;License: Standard Youtube License