suppose a 90 percent confidence interval for a population mean is (110,260). based on the interval,...
Assuming that the population is normally distributed, construct a 90% confidence interval for the population mean, based on the following sample size of n-6. 1, 2, 3, 4, 5, and 19 Change the number 19 to 6 and recalculate the confidence interval. Using these results, describe the effect of an outlier (that is, an extreme value) on the confidence interval. Find a 90% confidence interval for the population mean, using the formula or calculator. [ ] SHS (Round to two...
If a 90% confidence interval for the mean μ of a population is computed (using z) from a random sample of 25 subjects is found to be 42 ± 6.25. The population standard deviation σ is equal to:
#6. A 90% confidence interval for the mean height of a population is 65.7<u <67.3. This result is based on a sample of size 169. Construct a 99% confidence interval.
Assuming that the population is normally distributed, construct a 90% confidence interval for the population mean for each of the samples below. Explain why these two samples produce different confidence intervals even though they have the same mean and range. Sample A: 12 3 3 6 678Full data set Sample B: 1 2 3 45678 Construct a 90% confidence interval for the population mean for sample A. (Type integers or decimals rounded to two decimal places as needed.) Construct a...
4. Suppose you would like to construct a confidence interval for the population mean of a particular variable. With that in mind, you take a random sample from the population, and obtain the values shown below. a. Please construct a 84% confidence interval for the population mean using your sample of data. b. Your friend claims that the population mean equals 92. With your sample of data, please use the t-stat method to test this hypothesis using a significance level...
Assuming that the population is normally distributed, construct a 90 % confidence interval for the population mean, based on the following sample size of n equals 6. 1, 2, 3, 4, 5, and 23 In the given data, replace the value 23 with 6 and recalculate the confidence interval. Using these results, describe the effect of an outlier (that is, an extreme value) on the confidence interval, in general. Find a 90 % confidence interval for the population mean, using...
Assuming that the population is normally distributed, construct a 90 % confidence interval for the population mean, based on the following sample size of n equals 6. 1, 2, 3, 4, 5, and 23 In the given data, replace the value 23 with 6 and recalculate the confidence interval. Using these results, describe the effect of an outlier (that is, an extreme value) on the confidence interval, in general. Find a 90 % confidence interval for the population mean, using...
Based on sample data, the 90% confidence interval limits for the population mean are LCL = 170.86 and UCL = 195.42. If the 10% level of significance were used in testing the hypotheses H0: μ = 201 vs. H1: μࣔ 201, the null hypothesis: Group of answer choices would be rejected. would be accepted. would fail to be rejected. would become H0: μࣔ 201
Assuming that the population is normally distributed, construct a 90% confidence interval for the population mean for each of the samples below. Explain why these two samples produce different confidence intervals even though they have the same mean and range. Sample A: 1 4 4 4 5 5 5 8 Full data set Sample B: 1 2 3 4 5 6 7 8 Construct a 90% confidence interval for the population mean for sample A. (Type integers or decimals rounded...
Construct a 90% confidence interval to estimate the population mean using the data below. x=90 σ=15 n=40 N=400 The 90% confidence interval for the population mean is.