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1. Introduction
Explain the purpose of the study.
II. Summary of data collection
Identify sample, population, sampling frame (if applicable), and response rate (if applicable). Describe sampling technique (if applicable) or experimental design. Identify possible remaining sources of bias and their possible effects on the results. If a sample, why do you believe the sample was representative?
III. Summarize and interpret the data
Present ALL appropriate graphical and numerical summaries for the data. Interpret and discuss in detail what you can learn from the pictures and calculations.
Goal: To answer research questions regarding a dataset of your choice from the ones provided.
This will allow you to apply the skills you learn in this course to a real world situation, and (hopefully) enhance your appreciation and retention of the material.
What is the latest possible time that Activity E can be started without delaying the completion of the project and what is the latest time that activity B can start without delaying the project
State a research question for which a single-group post-test only design can yield relatively unambiguous findings.
Are the events of being man-made and being polluted independent and write out the sample space - Find the PPV and NPV for a population where 2% of the people have the disease.
A certain disease is found in one person in 5000. If a person does have the disease, the test will show a positive result 93% of the time. If a person does not have the disease, the test in 1 out of 500 cases will give a false positive result..
What is Goldbergs rationale for the study? Was the study designed to contribute to theory? Do the results of the study contribute to theory and how does a multiple-baseline design differ from a reversal design?
Develop a sales forecast for each store for December Plot the data for each store.Use data in table.
Prepare a Scilab script to evaluate the volumetric flux of smoke in a plume produced by a fire of given HRR Q' The plume loses α percent of its heat by radiation and β percent by other means.
a study was conducted to determine the impact of social media use on student learning. a total of 103 students taking a
A local ice-cream store receives an average of 3 customers per hour. Assume that the arrival events are well described by Poisson distribution. The cashier wants to leave the store to run an errand. The manager computes the expected time T between..
What assumptions about the number of pedestrians passing the location in an hour are necessary for your hypothesis test to be valid?
Find the probability of given case.
What is the General Linear Model (GLM)? Why does it matter and compare and contrast parametric and nonparametric statistics. Why and in what types of cases would you use one over the other?
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