Module 6: How Good is the Evidence?
Suppose during the next three decades, the average number of hurricanes per decade is as follows: 4, 6, and 8. Drawing on the statistical reasoning concepts in Huff and your weekly readings, compare and contrast these three decades to the previous 16 decades of hurricane data in Part 1. Answer the following questions.
- What are the 3 potential hypotheses when comparing these data to the previous 16 decades of hurricane data in Part 1.
- Which hypothesis can you accept? Why?
- How many hurricanes would you expect in the following decade based on your current analysis of the data in Part 1 and 2? Why?
Expert Solution Preview
Introduction:
In this assignment, we will be analyzing the statistical reasoning concepts in Huff and the weekly readings to compare and contrast the average number of hurricanes in the next three decades to the previous 16 decades of hurricane data. We will be answering three questions regarding this analysis.
1. What are the 3 potential hypotheses when comparing these data to the previous 16 decades of hurricane data in Part 1?
The three potential hypotheses are:
– The average number of hurricanes in the next three decades will be higher or lower compared to the previous 16 decades
– The average number of hurricanes in the next three decades will be similar to the previous 16 decades.
– The average number of hurricanes in the next three decades will follow a different pattern compared to the previous 16 decades.
2. Which hypothesis can you accept? Why?
Based on the limited data provided, we cannot accept or reject any of the hypotheses. We would need to conduct further analysis, including a larger data set and statistical testing, to determine which hypothesis is most likely to be accurate.
3. How many hurricanes would you expect in the following decade based on your current analysis of the data in Part 1 and 2? Why?
Without further analysis and statistical testing, we cannot accurately predict the number of hurricanes in the following decade. We need more information to make a reliable prediction.
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