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What are confounds? Give an example of a design that has three confounds. Describe three ways to alter the design to address these confounds and explain the advantages and disadvantages of each.
What does "cause" mean and why is it an important concept in research? How are correlation and causation related?
You are a researcher interested in addressing the question: does smiling cause mood to rise (i.e., become more positive)? Sketch between-participants, within-participants, and matched-participants designs that address this question and discuss the advantages and disadvantages of each to yielding data that help you answer the question. Describe and discuss each design in 4-5 sentences.
For the most recent year available the mean annual cost to attend a private university in the US was $26,889. Assume the distribution of annual costs follows a normal probability distribution and the standard deviation is $4,500. 95% of all studen..
Graph the p.d.f and show that the probability of the part failing in the first 200 weeks is 1/8
Explain the effect outliers can have on the analysis of the center of this data set. Based on the box-plot and histogram you created for problem 1, do there appear to be any outliers?
Assuming the sample size of 40 can be considered as large, compute the confidence interval for a confidence level of 90%.
For a binomial probability experiment, with n=150 and p=.2, it is appropriate to use the normal approximation to the binomial distribution.
At a 5% level of significance, is there sufficient evidence that the population mean waiting time is now less than 3.7 minutes?
Use a calculator or appropriate computer software to verify that, for the preceding data, xbar = 5.1.
calculate the mean or expected value for the number of retransmissions and calculate the standard deviation for the number of retransmissions.
Discuss the subject matter in the article, and interpret the results and what the confidence interval and margin of error mean as they apply to the specific subject matter.
Construct a scatter plot of P-RFM and P-HELM. If drawing the plot by hand, use graph paper to ensure accuracy.
Out of 1000 people surveyed, 600 belonged to urban areas and rest to rural areas. Among 500 who visited other states , 400 belonged to urban areas. Test 5 % level of significance whether area and visiting other state are dependent.
The significance level of a statistical test is equal to the probability that the null hypothesis is true.
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