19.4) Step 7: In the previous problem, HW 19.4) Step 6:, a hypothesis test was m

Question

19.4) Step 7: In the previous problem, HW 19.4) Step 6:, a hypothesis test was made upon on the mean difference of coywolf densities per km2 in the urban and suburban North Eastern United States between 2006 and 2016. Regardless of the bracketed p- value you found in that problem suppose the correct p-value was 0.02. Given the p- value is a probability and it is read as a percentage, then 2% of what must be true? Click and drag 8 sentence framents from the left column to form a correct interpretation of the meaning for a p-value that equals 0.02 in the right column. Your selections must be in the correct order to read the interpretation as correct. Choose phrases from here... to a lesser extant than what was seen in our sample data. by at least as much as ...to create the correct interpretation of co fidenc between 2006 and 2016 near large urban and suburban populations in North Eastern United States, If it is true that the density per km2 for the Eastern coyote has not fallen

Explanation / Answer

The p-value is the proportion of times our hypothesis can be true. Since we normally take 5% level of significance. We will have to reject the null hypothesis at p=0.02. which tell us only in 2% cases our hypothesis will be true.

What was seen in our sample data of all random samples comparing the eastern coyote population counts in the northeastern US between 2006 and 2016 will show that the eastern coyote population had remained constant if it is true that the density per sq km for eastern coyote has increased by no more than 2%

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