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A researcher plans to compare 2 different treatment conditions by measuring one sample in treatment 1 and a second sample in treatment 2. The researcher will then compare the scores for the 2 treatments. If there is a difference between the 2 groups of scores,
a) briefly explain how the difference may have been caused by the treatmentb) briefly explain how the difference simply may be sampling error
Define the terms parameter and statistic. Be sure that the concepts of population and sample are included in your definitions.
A survey researcher compares 4 religious groups on their attitudes toward education. 1200 subjects receive the survey and 823 respond. There are 10 items; the likert scale is 1-5. A high positive score indicates a more positive attitude.
Suppose that it is important to demonstrate that the wall thickness exceeds 4.0 mm. Test appropriate hypotheses using these data. Draw conclusions at α= 0.05.
Produce trucks arrive at the weigh station at the California border at a rate of 3 per hour according to a Poisson distribution. Livestock trucks arrive at that same weigh station at a rate of 2 per hour according to a Poisson distribution.
Once production is set up, 80 units can be produced per day. Daily demand rate for the units is 60 per day. a. What is the most economical number to produce per production run? b. How long is each production cycle?
Compute a 3 month moving average forecast of demand for April through January (of the next year). Compute a 5 month moving average forecast for June through January
Enter the data into R, and calculate the means for placebo and epinephrine. Find a 95% confi dence interval for the mean difference in cholesterol levels between the placebo and epinephrine. Use the confi dence interval to test your null hypothes..
The event "the price of stock X has increased and the price of stock Y has not increased" may be written as??
Estimate a test statistic for null hypothesis H0: μ = 30 against two-sided alternative hypothesis H1 : μ ≠ 30, and by plotting this on its reference distribution.
Estimate u with an approximate 95% confidence interval. Estimate p, the proportion of measurements in the population that are greater than 30, with an approximate 95% confidence interval.
A manufacturer claims that the life span of its tires is 52,000 miles. You work for a consumer protection agency and you are testing these tires. Assume the life spans of the tires are normally distributed.
They then call these 100 people. Does this sampling plan result in a random sample? Simple random sample? Explain.
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