Suppose that a researcher is studying the wingspans of wild condors. To study this the researcher randomly selects 7 condors that live near the California Coast and 7 condors that live near the Grand Canyon for a total of 14 condors. The researcher measures the wingspan of each of these birds in inches and gets the following data. (Note: You may assume that there are about 400 condors in the wild) 94, 100, 102, 110, 115, 118, 119, 122, 123, 126, 128, 135, 136, 140 (All values in inches) (a) What sampling technique was used to collect this data?
Suppose that a researcher is studying the wingspans of wild condors. To study this the researcher randomly selects 7 condors that live near the California Coast and 7 condors that live near the Grand Canyon for a total of 14 condors. The researcher measures the wingspan of each of these birds in inches and gets the following data. (Note: You may assume that there are about 400 condors in the wild)
94, 100, 102, 110, 115, 118, 119, 122, 123, 126, 128, 135, 136, 140 (All values in inches)
(a) What sampling technique was used to collect this data?
(b) Use this data to construct a 99% confidence interval for the average wingspan for California condors. Make sure to confirm all necessary conditions and interpret your interval. (Hint: This should be a 1-sample mean confidence interval)
(c) Could you conclude that 99% of California condors will have wingspans inside the interval you found in (b)? Why or why not?
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