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IlI. The probability that a patient recovers from a rare blood disease is 0.3. If 20...
R PROGRAMMING by using R studio or R software 1. The probability that a patient recovers...
R PROGRAMMING by using R studio or R software
1. The probability that a patient recovers from a rare blood disease is 0.4. If 15 people are known to have contracted this disease, what is the probability that a) at least 10 people survive, b) 3 to 8 people survive, c) exactly 5 people survive? d) Plot the graph of the distribution.
The probability that a patient recovers from a stomach disease is 0.8 Suppose 20 people are...
The probability that a patient recovers from a stomach disease is 0.8 Suppose 20 people are known to have contracted the disease. A. What is the probability that at least 14 but not more than 18 recover? B. what is the expected number to recover? C. What is the variance in the number that recover?
Problem 5: The probability that a patient fully recovers from a severe back pain after a...
Problem 5: The probability that a patient fully recovers from a severe back pain after a certain type of therapy is 0.85. Suppose 20 people are known to have severe back pain were subjected this type of therapy. (1) Find the probability that exactly 15 fully recover? (2) Find the probability that at least 9 recover? (3) Find the probability that at least 14 but not more than 18 recover? (4) Find the probability that at most 15 recover? (5)...
The probability that a patient recovers from coronavirus is 97%. What is the probability that a)...
The probability that a patient recovers from coronavirus is 97%. What is the probability that a) all of the next 4 patients who are infected by the virus recover? b) exactly 3 of the next 4 patients who are infected by the virus recover? 7 A В І iii III & c?
The screening process for detecting a rare disease is not perfect. Researchers have developed a blood...
The screening process for detecting a rare disease is not perfect. Researchers have developed a blood test that is considered fairly reliable. It gives a positive reaction in 94.4% of the people who have that disease. However, it erroneously gives a positive reaction in 3.9% of the people who do not have the disease. Consider the null hypothesis "the individual does not have the disease" to answer the following questions. a. What is the probability of a Type I error?...
The screening process for detecting a rare disease is not perfect. Researchers have developed a blood...
The screening process for detecting a rare disease is not perfect. Researchers have developed a blood test that is considered fairly reliable. It gives a positive reaction in 94.8% of the people who have that disease. However, it erroneously gives a positive reaction 3.3% of the people who do not have the disease. Consider the null hypothesis "the individual does not have the disease,to answer the following questions. o. What is the probability of a Type l error? (Round your...
In a game called heads, a player tosses a coin three times. S/he wins N$300 if...
In a game called heads, a player tosses a coin three times. S/he wins N$300 if 3 heads occur, N$200 if 2 heads occur, and N$100 if 1 head occurs. On the other hand, S/he loses N$1500 if no head occurs. Let Y be a random variable denoting the player's gain (or loss). The coin is biased such that the probability of landing heads up is 2/3. a) Find the probability distribution of Y b) Hence, or otherwise, find the...
Just need part c and d 11. The screening process for detecting a rare disease is...
Just need part c and d
11. The screening process for detecting a rare disease is not perfect. Researchers have developed a blood test that is considered fairly reliable. It gives a positive reaction in 98% of the people who have that disease. However, it erroneously gives a positive reaction in 3% of the people who do not have the disease. Consider the null hypothesis "the individual does not have the disease" to answer the following questions. a. What is...
7. Records show that a treatment for a rare disease is effective 70% of the time....
7. Records show that a treatment for a rare disease is effective 70% of the time. Suppose that a random sample of 18 patients undergoes this treatment. (a) Find the probability that the treatment will be successful for (i) exactly 13 patients iii) under 10 patients(ii) at least 13 patients (iv) 10 to 15 patients inclusive (b) Find: () the mean (expected) number patients for which the treatment will be successful (ii) the variance and standard deviation
7. Records show that a treatment for a rare disease is effective 70% of the time....
7. Records show that a treatment for a rare disease is effective 70% of the time. Suppose that a random sample of 18 patients undergoes this treatment. (a) Find the probability that the treatment will be successful for i) exactly 13 patients (ii) under 10 patients (ii) at least 13 patients iv) 10 to 15 patients inclusive b) Find: ) the mean (expected) number patients for which the treatment will be successful (ii) the variance and standard deviation.
R PROGRAMMING by using R studio or R software
1. The probability that a patient recovers from a rare blood disease is 0.4. If 15 people are known to have contracted this disease, what is the probability that a) at least 10 people survive, b) 3 to 8 people survive, c) exactly 5 people survive? d) Plot the graph of the distribution.
The probability that a patient recovers from a stomach disease is 0.8 Suppose 20 people are known to have contracted the disease. A. What is the probability that at least 14 but not more than 18 recover? B. what is the expected number to recover? C. What is the variance in the number that recover?
Problem 5: The probability that a patient fully recovers from a severe back pain after a certain type of therapy is 0.85. Suppose 20 people are known to have severe back pain were subjected this type of therapy. (1) Find the probability that exactly 15 fully recover? (2) Find the probability that at least 9 recover? (3) Find the probability that at least 14 but not more than 18 recover? (4) Find the probability that at most 15 recover? (5)...
The probability that a patient recovers from coronavirus is 97%. What is the probability that a) all of the next 4 patients who are infected by the virus recover? b) exactly 3 of the next 4 patients who are infected by the virus recover? 7 A В І iii III & c?
The screening process for detecting a rare disease is not perfect. Researchers have developed a blood test that is considered fairly reliable. It gives a positive reaction in 94.8% of the people who have that disease. However, it erroneously gives a positive reaction 3.3% of the people who do not have the disease. Consider the null hypothesis "the individual does not have the disease,to answer the following questions. o. What is the probability of a Type l error? (Round your...
Just need part c and d
11. The screening process for detecting a rare disease is not perfect. Researchers have developed a blood test that is considered fairly reliable. It gives a positive reaction in 98% of the people who have that disease. However, it erroneously gives a positive reaction in 3% of the people who do not have the disease. Consider the null hypothesis "the individual does not have the disease" to answer the following questions. a. What is...
7. Records show that a treatment for a rare disease is effective 70% of the time. Suppose that a random sample of 18 patients undergoes this treatment. (a) Find the probability that the treatment will be successful for (i) exactly 13 patients iii) under 10 patients(ii) at least 13 patients (iv) 10 to 15 patients inclusive (b) Find: () the mean (expected) number patients for which the treatment will be successful (ii) the variance and standard deviation
7. Records show that a treatment for a rare disease is effective 70% of the time. Suppose that a random sample of 18 patients undergoes this treatment. (a) Find the probability that the treatment will be successful for i) exactly 13 patients (ii) under 10 patients (ii) at least 13 patients iv) 10 to 15 patients inclusive b) Find: ) the mean (expected) number patients for which the treatment will be successful (ii) the variance and standard deviation.
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