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Question: Two populations are surveyed with simple random samples. A sample of size n1 is used for population I, which has a population standard deviation σ1; a sample of size n2 = 2n1 is used for population II, which has a population standard deviation σ2 = 2σ1. Ignoring finite population corrections, in which of the two samples would you expect the estimate of the population mean to be more accurate?
1.an experiment was carried out to assess the effects of four tomato varieties and four planting densities on yield.
The researchers hypothesized that leadership ability will increase at a decreasing rate with assertiveness. Set up the null and alternative hypothesis to test this theory.
Given the following data for a two-way ANOVA, identify the sets of null and alternative hypotheses, then use the 0.05 level in testing each null hypothesis.
1. construct index numbers of price for the following data by applyingi laspeyres methodii paasches methodiii fishers
Design a simple yet thorough consent letter and acceptance form for a survey on a topic of your choice. Include the following information/items.
identify the types of samples- systematic cluster convenience random stratified1. a sample was taken of every 49th
Is the large-sample confidence interval for the difference in two proportions appropriate to use in this setting? Explain your answer.
Why it is important to calculate a confidence interval and how do we use it in everyday life. Please give examples. and no plagiarism. minimum 200 words.
where phi = golden ratio. What is the long-term fraction of time the chain spends in each of the states? Answer must be gotten without a calculator.
The Energy Information Administration (EIA) surveys the price of diesel fuel. The EIA-888 is a survey of diesel fuel outlet prices from truck stops.
Tthen calculate the 95% and 99% CIs for the proportion of all female Hispanic drivers in Boston who wear seatbelts. Why is the 99% CI wider than the 95% CI?
Chips. A start-up company has developed an improved electronic chip for use in laboratory equipment. The company needs to project the manufacturing cost.
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