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)
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% con dence interval for the average wingspan for
California condors. Make sure to con rm all necessary conditions and interpret your interval.
(Hint: This should be a 1-sample mean con dence 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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