The interval from -2.12 to 1.84 captures an area of 0.95 under the z curve. This implies that another large-sample 95% confidence interval for has lower limitx - 2.12 and upper limit x + 1.84. Would you recommend using this 95% interval over the 95% intervalvndiscussed in the text? Explain. (Hint: Look at the width of each interval.)x ±1.96ToThe new 95% interval has widthThe 95% interval discussed in the text has width. The new interval is --Select---✓the interval discussed in the text, so the new interval ---Select---V

Here we can see that confidence levels are different but we use two tailed confidence level to…

Answered: The interval from -2.12 to 1.84…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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When finding the upper bound, UU, of a confidence interval given the lower bound, LL, and the margin of error, EE, we use the formula U=L+2EU=L+2E. Find the upper bound for the proportion of babies that are born preterm if the lower bound is L=0.364L=0.364 and the margin of error is E=0.176E=0.176. Round your answer to 3 decimal places.U=
es A sample of 12 fossil skeletons of an extinct species of bird has been collected. The mean length of the skulls in this sample is 5.29 cm and the standard deviation of the sample is 0.21 cm. Assuming that such measurements are normally distributed, find a 90% confidence interval for the population mean length of the skulls of this species of bird. You may want to use one of these: qt (p-0.10, df-11, lower. tail-FALSE)=1.36343 qt(p-0.05, df-11, lower.tail-FALSE) =1.795885 qnorm(0.10, mean-0, sd-1, lower.tail-FALSE)=1.281552 qnorm(0.05, mean-0, sd-1, lower.tail=FALSE)=1.644854 O (4.945, 5.635) O (4.913, 5.667) O (5.021, 5.559) O (5.181, 5.399)
## In a survey of adults with diabetes, the average body mass index (BMI) in a sample of 1938 women was 32.2 with a standard deviation of 0.03. The BMI in a sample of 1555 men was 30.4, with a standard deviation of 0.06. Construct a 92% confidence interval for the difference in the mean BMI between women and men with diabetes, INTERPRET THE RESULTS. DOES THE CONFIDENCE INTERVAL CONTRADICT THE CLAIM THAT THE MEAN BMI IS THE SAME FOR BOTH MEN AND WOMEN WITH DIABETES?
Using R Here we will investigate the “confidence level” of each of the confidence intervals:percentile, normal, basic, and BCa. The confidence level of a confidence interval is the longrun proportion that the interval contains the parameter. So, if we took 100 samples andcomputed a 95% CI that estimates the population mean mu, the intervals should contain it95% (95 out of 100) of the time.1(a). Simulate samples X of size n=10 from an exponential distribution with rate =1/50. Run a bootstrap procedure to estimate the median. Compute the 4 CI’s mentionedabove. Repeat this 1,000 times and estimate the confidence level of each type of confidenceinterval.1(b). Are the confidence intervals below or above the confidence level of .95? Whydo you think this is? Explain.1(c). Repeat this for samples of size n=50.1(d). Did the confidence level of the intervals change with the sample size? Are theconfidence intervals below or above the confidence level of .95? Why do you think this…
# E DII C A previous study gave (0.11, 0.23) as a confidence interval for p. Find the minimum sample size required to ensure that your estimate (p) will be within 0.01 of p with 99% confidence. IMPORTANT: Use a critical value that you found with your calculator (not from a table), and round it to 3 places after the decimal point before you plug it into a formula and perform your calculations. Do not round-off any other intermediate results. n = F3 Submit Question $ 4 R F F4 V % 5 T J G F5 6 B Y H F6 & 7 X U N F7 - * PrtScn 8 F8 M K Home 9 F9 O End L F10 P Pg Alt
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Traumatic Brain Injuries have been shown to affect brain volume. A psychologist measures the brain volume of N=8 TBI patients at 2 months and 12 months after their injuries. Evaluate the results of her data using α = .052tail. **Attached Image** a. State the hypotheses b. Show how the t was calculated using the values from the SPSS printout. c. What is Cohen’s d?
In a large scale study of energy conservation in single family homes, 20 homes were randomly selected from homes built in a housing development in southern England. Ten of the houses, randomly selected from the 20 houses selected for the study, were constructed with standard levels of insulation (70 mm of roof insulation and 50 mm of insulation in the walls). The other 10 houses were constructed with extra insulation (120 mm of roof insulation and 100 mm of insulation in the walls). Each house was heated with a gas furnace and energy consumption was monitored for eight years. The data shown below give annual gas consumption in MWh for each of the 20 houses. Standard Insulation Extra Insulation 13.8 15.1 17.8 13.9 18.0 15.9 17.3 17.2 16.9 15.2 19.9 13.8 13.6 11.3 17.6 13.2 15.9 18.8 12.3 14.0 Sample means Sample Standard Deviation 16.31 14.84 2.38 2.12
Construct a 95% confidence interval to estimate the population mean using the data below. x=38 s=11 n=39 With 95% confidence, when n=39 the population mean is between a lower limit of and an upper limit of (Round to two decimal places as needed.)
6.2.3 Find the critical value t, for the confidence levelc=0.99 and sample size n= 12. Click the icon to view the t-distribution table. (Round to the nearest thousandth as needed.)
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