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To compare lumen output of 3 different brands of light bulbs, 8 light bulbs of each brand were randomly selected and tested. The sums of squares were computed as SSTr = 591.2, SST =5364.5.
(a) State the null and alternative hypotheses for the ANOVA (include definitions of parameters). What assumptions do we need to proceed with ANOVA?
(b) Fill out the ANOVA table for this problem and carry out the test of the null hypothesis at level α = 0.05. State you conclusion.
(c) How would the conclusion of (b) be affected if the sample sizes were 4 instead of 8? Answer without doing calculations, and explain.
One person's file is chosen at random. Find out probability that selected person will fall into following categories. Book keeping.
If the researcher wants to test if the blood pressure measurements after the procedure are different from the blood pressure measurements before the procedure, what will the null and alternative hypotheses be? Treat the differences as (blood press..
Run a multiple regression and interpret all the findings, R 2 , F, IV coefficients, and the intercept. Then in paragraph format, identify and report the following:
Does this mean immigrants tend to earn more than other people? Or does it mean immigrants improve a state's economy? If not, what could explain the correlation?
Use the given confidence level and sample data to find a confidence interval for estimating the population mean
Suppose we compare two population means, μ 1 - μ 2 . In each case, indicate how μ 1 relates to μ 2 :
What does null hypothesis for repeated-measures hypothesis test state?
Given the standardized normal distribution (with a mean of 0 and a standard deviation of 1, as in Table E.2), what is the probability that:
At 95% level of confidence, can we conclude that the babies using the Gibbs product gained less weight?
John conducted his study to measure self-esteem among victims of domestic violence before and after they complete an 8-week program for abuse victims with 10 individuals.
Critically discuss the main differences between descriptive and inferential statistics? Provide an example of either type of statistics either from a recent study you heard about or a made up study you'd be interested in learning about.
What is 95% confidence interval estimate for average number of years served by all Supreme Court justices?
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