Identify the sampling technique used in each study. Some techniques may appear more than once or not at all.          -           A.           B.           C.           D.           E.         A researcher wants to understand how pandemics spread in their community. They divide the city up into neighborhoods and randomly select some individuals from each neighborhood.  They test them for the disease.          -           A.           B.           C.           D.           E.       A political web site wants to know if people agree with the president, so they put a poll up their website and let anyone who comes to the website participate.          -           A.           B.           C.           D.           E.       A researcher wants to know how student athletes balance their time, so they randomly select 30 different teams from different colleges.  They then interview every student on each team and collect data on their time management habits.          -           A.           B.           C.           D.           E.       A researcher randomly selects 300 households across the country and sends an interviewer to that house to ask them about their tv viewing habits.          -           A.           B.           C.           D.           E.       A researcher wants to understand why elementary school children like certain products.  In a school district with 2,345 elementary school classrooms, they randomly select 40 and interview all of the students in those 40 classes.          -           A.           B.           C.           D.           E.       A researcher wants to understand how people choose streaming services to subscribe to. They divide the country up into 25 areas of equal population and randomly select 50 people from each area to survey

You may need to use the appropriate technology to answer this question. A certain manufacturer is a producer of aluminum components for the avionics and automotive industries. At its plant, an engineer has conducted a quality-control test in which aluminum coils produced in all three shifts were inspected. The study was designed to determine if the population proportion of good parts was the same for all three shifts. Sample data follow.   Production Shift Quality First Second Third Good 282 364 172 Defective 18 36 28 (1) Using a 0.05 level of significance, conduct a hypothesis test to determine if the population proportion of good parts is the same for all three shifts. State the null and alternative hypotheses. A) H0: p1 = p2 = p3 Ha: Not all population proportions are equal. B) H0: p1 ≠ p2 ≠ p3 Ha: All population proportions are equal.     C) H0: At least two population proportions are equal. Ha: p1 ≠ p2 ≠ p3 D) H0: Not all population proportions are equal. Ha: p1 =…

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Indicate the statistical test you would conduct. Respondents in a survey of 1,000 households were asked about their travel history. Specifically, they were asked how often they have been to Europe in the past five years (using a ratio scale). People were also classified by interest type (art-lovers, food-lovers, or sports-lovers). The question is whether interest type influences travel history. Two-sample t-test Paired sample t-test One-way ANOVA none of those QUESTION 6 What is the corresponing alternative hypothesis for the scenario in question #5? The three interest types do not differ with regard to the number of times they have been to Europe in the last five years. Interest type and travel to Europe are not related. The number of times people have been to Europe does not depend on interest type. The three interest types differ with regard to the number of times they have been to Europe in the last five years.

Random digit dialing telephone surveys used to exclude cell phone numbers. If the opinions of people who have only cell phones differ from those of people who have landline service, the poll results may not represent the entire adult population. The Pew Research Center interviewed separate random samples of cell-only and landline telephone users who were less than 30 years old. Here’s what the Pew survey found about how these people describe their political party affiliation.     Do we reject, or fail to reject, the null hypothesis?

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Task-1. Define the terms Population and Sample, why sampling is done and what are the characteristics of a good sample. Include examples, preferably with an engineering background.

One of the theories behind the large polling errors in 2016 election was the "shy Trump voter". According to this explanation, many respondents voted differently than what they told the pollsters. What type of bias does this phenomena introduce to the polls?  answer choices 1.Selection bias 2.Response bias 3.Non-response bias 4.Something else

You want to find the prevalence of e-cigarette smoking is a given community. Which of these study designs would you use to test the hypothesis?  Case-controlB. Cross-sectionalC. Cohort D. Experimental trials