The sample size is 30 can smokers one prominent physician da ms that 80% of those...
estion 4 one prominent pryso andams that 80% ot those with in O a 80 patients O b 15 patients cancer are chan smokers onpute the mean and the star ad de nation mo sano e suo s 30 aansom с 24 patients O d 30 patients
Here is an example with steps you can follow: sample size n=9, sample mean=80, sample standard deviation s=25 (population standard deviation is not known) Estimate confidence interval for population mean with confidence level 90%. Confidence Interval = Sample Mean ± Margin of Error Margin of Error = (t-value)×s/√n t-value should be taken from Appendix Table IV. For n=9 df=n-1=9-1=8 For Confidence Level 90% a = 1 - 0.90 = 0.10, a/2 = 0.10/2 = 0.05 So, we are looking for...
View Policies Current Attempt in Progress Impact of Sample Size on Accuracy Compute the standard error for sample means from a population with mean y = 80 and standard deviation o = 25 for sample sizes of n = 30, n = 170, and n = 1300. Round your answers to two decimal places. Standard Error Sample Size n = 30: i n = 170 n = 1300 i
When σ is unknown and the sample is of size n ≥ 30, there are two methods for computing confidence intervals for μ. Method 1: Use the Student's t distribution with d.f. = n − 1. This is the method used in the text. It is widely employed in statistical studies. Also, most statistical software packages use this method. Method 2: When n ≥ 30, use the sample standard deviation s as an estimate for σ, and then use the...
When is unknown and the sample is of size n 230, there are two methods for computing confidence intervals for u. (Notice that, When is unknown and the sample is of size n<30, there is only one method for constructing a confidence interval for the mean by using the student's t distribution with d.f. = n - 1.) Method 1: Use the Student's t distribution with d.f. = n - 1. This is the method used in the text. It...
1. An application of the distribution of sample means Aa Aa People suffering from public health departments in some U.S. states and Canadian provinces require community water systems to notify their customers if the sodium concentration in the drinking water exceeds a designated limit. In Ontario, for exam hypertension, heart disease, or kidney problems may need to limit their intakes of sodium. The the notification level is 20 mg/L (milligrams per liter). Suppose that over the course of a particular...
Find the critical values x?and XR for the given confidence level c and sample size n. C=0.8, n=30 xL= (Round to three decimal places as needed.) Find the critical values x and x for the given confidence level c and sample size n. c=0.9, n=21 x?L= (Round to three decimal places as needed.) Use technology to construct the confidence intervals for the population variance o2 and the population standard deviation o. Assume the sample is taken from a normally distributed...
12. Provide an appropriate response. Samples of size n- 240 are randomly selected from the population of numbers (0 through 20) produced by a random-number generator, and the variance is found for each sample. What is the distribution of the sample variances? O normal (approximately) O skewed to the right O skewed to the left O not enough information provided 13. Choose the correct response. ( point) Why is sampling without replacement acceptable with a large population? When a small...
simple random sample of size n is drawn from a population that is normally distributed. The sample mean, X. is found to be 111, and the sample standard deviation is found to be 10. a) Construct a 95% confidence interval about if the sample size, n, is 28. b) Construct a 95% confidence interval about if the sample size, n, is 11 c) Construct a 90% confidence interval about if the sample size, n, is 28 ) Could we have...