Question

In: Statistics and Probability

1. Based on the sample, the 95% confidence interval for the blood level of inorganic phosphorous...

1. Based on the sample, the 95% confidence interval for the blood level of inorganic phosphorous is (1.153, 1.247). Which one of teh following statements is a correct interpretation of this interval? A. If we took 100 additional samples of the same size and from each compute a 95% confidence interval, 95 of the intervals are identical to (1.153, 1.247). B. There is a 95% chance that the sample average inorganic phosphorus level of a random sample of 12 healthy elderly subjects is in between 1.153 mmol/l and 1.247 mmol/l. C. We are 95% confident that the true mean phosphorous level is in between 1.153 and 1.247 mmol/l. D. There is a 95% chance that the true mean phosphorous level is in between 1.153 mmol/l and 1.247 mmol/l.

2. In Sharon Woods Park, a biologist is trapping chipmunks to study their population. Let A be the event that the chipmunk is male and B be the event the chipmunk is pregnant. Which of the following is true about A and B? A. A and B are independent B. P(A) = 1- P(B) C. All of the given options are true. D. P(A or B) = P(A) + P(B)

3. Hodgkin lymphoma is one of the most curable forms of cancer. The five-year survival rate for this cancer is 72%. If three unrelated (independent) patients are newly diagnosed with Hodgkin lymphoma, the probability that none of the three survive for five years is 0.022. What is the probability that at least one survives for five years? A. 0.72 B. 0.76 C. 0.978 D. 0.575

Solutions

Expert Solution

1. Correct option :  C. We are 95% confident that the true mean phosphorous level is in between 1.153 and 1.247 mmol/l.

Reason : A 95% confidence interval is a range of values that you can be 95% certain contains the true mean of the population.

2. Correct option : D. P(A or B) = P(A) + P(B)

Reason : We know that, P(A or B ) = P(A) + P(B) - P(A and B)

Since events A and B are mutually exclusive, P(A and B ) = 0

So, P(A or B ) = P(A) + P(B)

3. Correct option : C. 0.978

Reason : We know that  probability that none of the three survive for five years = 0.022

So, probability that at least one survives for five years = 1 - probability that none of the three survive for five years

= 1 - 0.022 = 0.978


Related Solutions

At a confidence level of 95% a confidence interval for a population proportion is determined to...
At a confidence level of 95% a confidence interval for a population proportion is determined to be 0.65 to 0.75. If the sample size had been larger and the estimate of the population proportion the same, this 95% confidence interval estimate as compared to the first interval estimate would be A. the same B. narrower C. wider
At a confidence level of 95% a confidence interval for a population proportion is determined to...
At a confidence level of 95% a confidence interval for a population proportion is determined to be 0.65 to 0.75. If the sample size had been larger and the estimate of the population proportion the same, this 95% confidence interval estimate as compared to the first interval estimate would be
A 95% confidence interval contains 5. If the confidence level is increased to 99%, will the...
A 95% confidence interval contains 5. If the confidence level is increased to 99%, will the new interval contain 5? Yes No Unable to determine
A confidence interval, at the 95% confidence level, will be used to answer the question, "What...
A confidence interval, at the 95% confidence level, will be used to answer the question, "What is the mean annual salary (in US dollars) of a Tesla car owner?"  Data was collected from 36 Tesla owners across the US. The mean annual salary of those 36 Tesla owners was $254000.  The standard deviation of ALL Tesla owners is known to be $1057. a)  The value at the center of the confidence interval represents what quantity?  Choose an option from the list and type its...
Construct a confidence Interval for p1- p2, at a 95% level of confidence, if x1= 366,...
Construct a confidence Interval for p1- p2, at a 95% level of confidence, if x1= 366, n1=535, x2=435, n2=593
Confidence Interval Based on a Signal Sample
a. Suppose we construct a 99% confidence interval. What are we 99% confident about?b. Which of the confidence intervals is wider, 90% or 99%?c. In computing a confidence interval for 𝜇, when do you use the t-distribution and when do you use z, with normal approximation?d. How does the sample size affect the width of a confidence interval?
1 - A 95% confidence interval for a population proportion was constructed using a sample proportion...
1 - A 95% confidence interval for a population proportion was constructed using a sample proportion from a random sample. Which of the following statements are correct? Select all that apply. A) We don't know if the 95% confidence interval actually does or doesn't contain the population proportion. B) The population proportion must lie in the 95% confidence interval. C) There is a 95% chance that the 95% confidence interval actually contains the population proportion. D) The sample proportion must...
A) Given a sample of 15 and looking at a 95% confidence interval. What is the...
A) Given a sample of 15 and looking at a 95% confidence interval. What is the right critical value ()? B) What is the left critical value ()
1 Joe computed a 95% confidence interval for µ from a specific random sample. His confidence...
1 Joe computed a 95% confidence interval for µ from a specific random sample. His confidence interval was 10.1<µ<12.2. He claims that the probability   that µ is in this interval 0.95. What is wrong with his claim? Explain. 2. Consider a test for µ. If the P-value is such that you can reject H0 for α=0.01, can you always reject H0 for α =0.05? Explain. PLZ PLZ help me with 1 and 2 and plz write in your own words...
Calculate an approximate 95% confidence interval for the population mean salary for engineers, based on the following sample data:...
Calculate an approximate 95% confidence interval for the population mean salary for engineers, based on the following sample data: From a sample of 100 engineers, the sample mean salary is $68,000. Assume the population standard deviation is $4000.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT