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Design an imaginary study or discuss an actual study you've read about that has an experimental or quasi-experimental design that used or would use t-tests or ANOVAs in the data analysis. Briefly tell us the nuts and bolts of the study and then get to the discussion of the following:
What the null hypothesis is in your experiment?
What is the level of significance you chose in your experiment and what did you learn because the analysis of the data showed that the divergence from the null hypothesis was statistically significant?
Describe the statistical method you used in the analysis of the data, either t-tests or ANOVAs. Discuss why your choice was appropriate for your study.
In past, mean processing time was 45 days. At 0.05 level of significance, is there evidence that mean processing time has changed from 45 days?
Suppose that combined verbal and math SAT scores follow a normal distribution with mean 896 and standard deviation 174. Suppose further that Peter finds out that he scored in the top 3% of SAT scores. Determine how high Peter's score must have bee..
Would you play this game if you wanted to make money? What do we expert the value of the results of the game to be?
Fawns Fawns among1 or 5 months old in Mesa Verde National Park have a body weight that is approximately normally distributed with mean
What is the probability that the next 100 customers will spend an average of less than $56 on dinner?
Taking α to be 0.05, what is/are the critical values associated with testing your hypothesis?
What type of error would result in that case? Respond to at least two of your classmate's postings.
Which of the given signifies difference in two population proportions?
what is the post-test probability of disease being present in a patient with a positive test result for test A if a cutoff value of 4.0 mg/ml is chosen?
The standard deviations s1 and s2 can be used when Ó1 and Ó2 are unknown and you believe that the underlying distribution is normal. Then, you would use s1 and s2 with the t-test for hypothesis testing.
Compare and contrast quantitative and qualitative research designs. Identify and discuss some advantages and disadvantages for each type of research.
Calculate the population mean and compare it to the mean of the sampling distribution.
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