Part 1 of 2 (a) Construct a 98% confidence interval for the mean increase in water loss. Let of represent the water loss after skin removal minus the water toss before

Suppose a study similat to example 11 was performed using two second grade classes. Assume the summary statistics are Sample mean 1= 46.32, Sample mean 2= 32.85, Standard deviation 1= 11.53, Standard deviation 2= 15.33, n1= 26 and n2= 24. Find a 95% confidence interval for the difference between the treatment (Group 1) and the control (Group 2) mean using the second approximation for degrees of freedom. Also write a one-sentence summary of what is confidence interval says about the difference in means.

A study is conducted to test the hypothesis that people with glaucoma have higher-than-average blood pressure. The study includes 200 people with glaucoma whose mean SBP is 140 mm Hg with a standard deviation of 25 mm Hg. Construct a 95% CI for the true mean SBP among people with glaucoma. If the average SBP for people of comparable age is 130 mm Hg, is there an association between glaucoma and blood pressure?

When 89 people used the Atkins diet for one year, their mean weight change was 6.4 lb(based on data from "Comparison of the Atkins, Ornish, Weight Watchers, and Zone Diets for Weight Loss and Heart Disease Reduction," by Dansinger, et al., Journal of the American Medical Association, Vol. 293, No. 1).The standard deviation of weight change was s = 6.8 lb and calculate a 69% confidence interval for the mean weight change.Use 3 decimal places

Is narcissism a more common personality trait today than it was a few decades ago?  It is known that the mean population score on the Narcissistic Personality Inventory (NPI) for students attending University of South Alabama around 20 years ago was μ= 15 (Twenge, 2010).  Interested in the narcissism levels of students in the year 2020, a researcher administers the NPI to a random sample of 25 University of Alabama sophomores this Spring term. The mean NPI score from the researcher’s sample of sophomores is M = 16.5, with s = 3.4. 1. Find the obtained (i.e., computed) test statistic for a sample (n=25) with a mean of 16.5   2. Make a statistical decision about the null. Will you reject or fail to reject the null based on your sample data?    3. Justify your decision about the null.

A data set includes 103 body temperature of healthy adult humans having a mean of 98.1F and standard deviation of 0.56 F . Construct a 99% confidence interval estimate of the mean body temperature of all healthy humans. What does the same suggest about the use of 98.6F as mean body temperature?

Fed-Ex claims that the variance of their 2-day package delivery is less than 0.75 days. A simple random sample of 24 deliveries showed a sample variance s2 = 0.81 days.   Test the Fed-Ex claim at 95% confidence level.

Studies by the U.S. Dept. of Education have shown that when full-time undergraduate students work at a part-time job more than 15 hours/week, their grades suffer and time to graduation is extended.  If the NCSU financial aid office wants to estimate the mean hours worked per week by NCSU undergrads to within .5 hour with 95% confidence, how many students should they sample?  Assume the range of hours worked per week is 10 to 22 hours.

The mean body mass index (BMI) in patients free of diabetes was reported as 28. An investigator conducting the study hypothesizes that the BMI in patients free of diabetes is different than 28. Based on the data found in a simple random sample of n=12, the mean and standard deviation of BMI were found to be 32 and 6, respectively. Based on this is there evidence that the BMI is significantly different than 28? Use a 5% level of significance? Note: Round your answers to three decimals. None of these choices are correct. T-stat = 2.310, T-critical value = 2.201. Since 2.310> 2.201 Reject Ho. T-stat 2.201, T-critical Value = = 2.310. Do not reject HO since 2.210 2.310. T-stat = 2.310, T-critical value = 2.179. Reject HO since 2.310 > 2.179.

The mean number of English courses taken in a two-year time period by male and female college students is believed to be about the same. An experiment is conducted and data are collected from 24 males and 26 females. The males took an average of 4.2 English courses with a standard deviation of 1.1. The females took an average of 3.9 English courses with a standard deviation of 0.7. Conduct a hypothesis test at the 4% level of significance to determine whether the means are statistically the same. Step 1: State the null and alternative hypotheses. Ho: H1 = V H.: H1 – µ2 # v test.) (So we will be performing a two-tailed