If we perform multiple pairwise comparisons at the a = 0.05 level, the probability of making a type I error with AT LEAST ONE of the tests, assuming that the null hypothesis is true in all cases, is: Group of answer choices A. exactly 0.05 B. less than 0.05 C. greater than 0.05 D. impossible to tell.

It we perform multiple pairwise comparisons at the U = DUE: level, the probability of making atype I error with AT LEAST rDNE ot the tests, assuming that the null hypothesis is true in all cases, is: Group of answer ChOlCE'S A. exactly (105 B. less than 3.35 C. greater than 0.35 D. impossible to tell Imagine thefofiowr'ng scenario: The University of Florida has a special insurance policy for protecting students who use bikes on campus. [t is not cheap, and the administration wants to ensure that the money is well-spent. For example, if fewer students use bicycles than in prior years, then the University should negotiate for a less expensive insurance policy. Your research rm has been approached by the University to do a study on bicycle use on campus. Your task is to determine hovvr many students use bicycles on campus, and why. The constraints: 1. There are no data from prior years on the number of bicycles on campus. [t is impossible to go back in time and collect these data. 2. The administration needs to knov.r the answers quickly. So, the study must be simple and easy to carry out. 3. The administration has three ideas they want to test about reasons students might be biking less than they used to. For these reasons, your study must consist of a questionnaire that determines the relative importance of these factors in explaining current levels of biking among students. Research questions: 1. you plan to distribute a questionnaire across campus, as widely as possible. Your target sample size is 1,09%:I students. The incentive to participate is the chance to win a $250 gift card (there are It} chances to win}. 2. Your rst objective is to estimate how many students ride bikes on campus and how often they ride their bikes on campus per month 3. Your next objectives are to test three ideas about why bike riding might be declining. Thus, you need to develop measures to be able to test the following hypotheses: a. Students are living farther off-campus b. Students have other options for getting around on campus besides bicycles. c. Biking is not seen as cool anymore. Your goal: Design a survey instrument that will accomplish the goals of the research. Your study must be brief (to encourage participation and completion) and should not ask any purposeless questions. For this assignment: 1. Submit a questionnaire that consists of no more than 10 items: 0 the outcome variables (objective 1} are measured as best as you see t 0 enough items to test each ofthc three predictorsircasons (objective 2). 2. This questionnaire must be constructed in Qualtrics, exported to Word, and uploaded into Blackboard as a PDF document. Links to the Qualtrics survey itself will NOT be accepted. 3. At least one predictor must be measured as an ordinal variable. 4. Your study should include at least one 3-item (construct) interval scale. (hint: interval scales are used for attitudes}. 12.1 Regression (Distance from School) Class Time: Names: Student Learning Outcomes . The student will calculate and construct the line of best fit between two variables. . The student will evaluate the relationship between two variables to determine if that relationship is significant. Collect the Data Use eight members of your class for the sample. Collect bivariate data (distance an individual lives from school, the cost of supplies for the current term). 1. Complete the table. Distance from school Cost of supplies this term Table 12.9 2. Which variable should be the dependent variable and which should be the independent variable? Why? 3. Graph "distance" vs. "cost." Plot the points on the graph. Label both ases with words, Scale both axes. Figure 12.21Analyze the Data Enter your data into your calculator or computer. Write the linear equation, rounding to four decimal places. 1. Calculate the following: a d= b. b= C. correlation = d. n= e. equation: } = f. Is the correlation significant? Why or why not? (Answer in one to three complete sentences.) 2. Supply an answer for the following senarios: a. For a person who lives eight miles from campus, predict the total cost of supplies this term: b. For a person who lives eighty miles from campus, predict the total cost of supplies this term: 3. Obtain the graph on your calculator or computer. Sketch the regression line. Figure 12.22 Discussion Questions 1. Answer each question in complete sentences. a. Does the line seem to fit the data? Why? b. What does the correlation imply about the relationship between the distance and the cost? 2. Are there any outliers? If so, which point is an outlier? 3. Should the outlier, if it exists, be removed? Why or why not?Determine whether the following statement is TRUE or FALSE. For any FALSE statement, give the CORRECT ANSWER for the underlined word/phrase. 1. Research is shall not be conducted if the topic propose suits only personal interest and has no contribution to the society. 2. Male and Female was coded as "1" and "2" respectively. Gender has ordinal scale of measurement. 3. When a researcher cannot find any literature to refer to as a basis for his research, he should carry out a survey research. 4. Amran conduct a study about satisfaction towards ODL among university students. Amran contacted his secondary school friends who are also university students in Malaysia. Amran is using nonprobability sampling technique. 5. Pure research is focused on finding answer to the practical problems such as working practices of organizations. 6. The rights to withdraw half-way from the survey is coercion. 7. Choosing a sample with representative should come from each gender group, researcher must consider to use quota sampling. 8. Applied research applies When a researcher considers to testing and apply a developed theory found in the literature. 9. Ratio refers to the degree of variation between categories of response measured by the data and it is the fourth level in the measurement scale. 10. Observation, self-administered questionnaire and drop off method of data collection can avoid interviewer bias. 11. Variable such as age group and level of education can be summarized using histogram. 12. For a study that does not involve population that located at large geographical area can consider simple random sampling 13. It is an ethical for respondents to be informed about all risks caused by their decision to take part in any research work 14. Source of problem can be obtained from discussions with decision maker or inputs from experts or secondary data sources.