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Salt-free diets are often prescribed to people with high blood pressure. The following data values were obtained from an experiment designed to estimate the reduction in diastolic blood pressure as a result of consuming a salt-free diet for 2 weeks. Assume diastolic readings to be normally distributed.
(a) What is the point estimate for the mean reduction in the diastolic reading after 2 weeks on this diet? (Give your answer correct to one decimal place.)
(b) Find the 90% confidence interval for the mean reduction. (Give your answers correct to two decimal places.)
If you had a sample size of 50 and did not know the standard deviation of the population, would you use a t or a z statistics in your analysis? Why?
You are preparing a report to present to the Public Health Council on the declining rates of gonorrhea in your state in both men and women over the last 10 years.
Using the .01 level, what should the researcher conclude? Solve this problem explicitly using all five steps of hypothesis testing, and illustrate your answer with a sketch showing the comparison distribution, the cutoff (or cutoffs), and the scor..
A hypothesis is being conducted. The p-value was found to be 0.0768. For which of the following levels of significance will the null hypothesis be rejected?
When we carry out a chi-square test of independence, the expected frequencies are based upon the Null hypothesis - true or false.
A financier whose specialty is investing in comedy shows has observed that, in general, shows with "big- name" stars seem to generate more revenue than those shows whose stars are less well known.
Would it be unlikely for them to find fewer than 65 children with the gene? Calculate the z-score and base your response upon the z-score.
Assuming everyone I ask says East, how does the probability change with the sample size? In other words, how is the probability different if 50 out 50 women say East instead of 5 out of 5 women?
The results shown below are mean productivity measurements (average number of assemblies completed per hour) for a random sample of workers at each of three plants.
A company has developed the new battery, but the average lifetime is unknown. In order to estimate the average, a sample of 150 batteries is tested and an average lifetime of this sample is found to be 250 hours.
We have discussed two different methods for making statistical inferences such as developing interval estimates and conducting hypothesis tests. These methods are the "Critical Value Method" and the "P-Value Method".
Describe the situation and the variables and determine whether the variables are normally distributed or not. How could you change these to a normally distributed dataset?
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