Your task is to first identify the proposed analysis and why you chose that analysis for each of these scenarios, then proceed to respond to the other sections related to each scenario. All of your written responses should be recorded in the three tables provided below. Please use α = .05 for all analyses. If an assumption is not met, please continue with the analysis for the purpose of this assignment. Scenario: Data from the Motor Vehicle Department indicate that 80% of all licensed drivers are older than age 25. Information on the age of n = 50 people who recently received speeding tickets was sourced by researchers who are interested in whether the age distribution for the sample of drivers who recently received speeding tickets is different from the age distribution for the population of licensed drivers. Data Driver sample n = 50 where 17 students are 25 years of age or younger and 33 are above 25 years of age Proposed analysis and why you chose the analysis: Measurement type (i.e., nominal, ordinal, continuous) for variable(s) that will be used in the analysis: Null and alternative hypotheses (based on context of study) in symbols: Test assumptions and make a decision (please provide written evidence to support your decision): Inferential statistic(s) and p-value(s): Decision: Conclusion: Based on your decision, identify and explain the type of error you could be making with respect to the conclusions of the study
Below you will find a table that include different research scenarios.
- Your task is to first identify the proposed analysis and why you chose that analysis for each of these scenarios, then proceed to respond to the other sections related to each scenario.
- All of your written responses should be recorded in the three tables provided below.
- Please use α = .05 for all analyses.
- If an assumption is not met, please continue with the analysis for the purpose of this assignment.
Scenario: Data from the Motor Vehicle Department indicate that 80% of all licensed drivers are older than age 25. Information on the age of n = 50 people who recently received speeding tickets was sourced by researchers who are interested in whether the age distribution for the sample of drivers who recently received speeding tickets is different from the age distribution for the population of licensed drivers.
Data Driver sample n = 50 where 17 students are 25 years of age or younger and 33 are above 25 years of age
Proposed analysis and why you chose the analysis:
Measurement type (i.e., nominal, ordinal, continuous) for variable(s) that will be used in the analysis:
Null and alternative hypotheses (based on context of study) in symbols:
Test assumptions and make a decision (please provide written evidence to support your decision):
Inferential statistic (s) and p-value(s):Decision:
Conclusion:
Based on your decision, identify and explain the type of error you could be making with respect to the conclusions of the study
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