H/1000 = tan(65°)
h = 1000*tan(65°) ≈ 2145 . . . . ft
The helicopter is about 2145 ft high.
To find the perfect square needed, you take the "middle" value and half it, then square it. so in this case, take -6, half it into 3, and square it to get 9. you'll be adding 9 to both sides
Answer:
h= 2/3d
Step-by-step explanation:
slope is the change of y value on the change of x value
4/6 = 2/3
A- 98+89+123=310 (boys)
A-102+105+117=324 (girls)
B-324-310=14 I found my answer by subtracting the girls from the boys and I got 14
C-They will need to hire 24 more teachers because if you add the students together you will get 644 then you divide it by 20 and you get 32 but since they already have 8 teachers you would just subtract 8 from 32 wich you get 24
Answer:
a) Response error
b) coverage error
c) coverage error
Step-by-step explanation:
Given situation:
(a) You want to know about the dating habits of college students, so you go to a dorm meeting and ask students how many dates they have had in the last year.
Solution:
In such situations the dating habits is a private matter for every individual and would not be truy expressed or conveyed in a dorm meeting. The true response would either be false or hidden in context of a public gathering.. So the likely error would be " Response error"
Given situation:
b) You want to know how often people attend religious services, so you stand outside a particular church on Sunday and ask entering individuals how often they attend.
Solution:
The collection of sample from a "particular" church limits the diversity of responses. The spread of the data might be skewed to certain geographical or population or ethnical locations. A better coverage would be recommended for accurate sampling. Hence, "coverage error"
Given situation:
(c) You want to know how often people eat at McDonald's, so you stand outside a particular McDonald's and ask entering customers how often they eat at McDonald's.
Solution:
The collection of sample from a "particular" McDonalds limits the diversity of responses. The spread of the data might be skewed to certain geographical or population or ethnical or lifestyles. A better coverage would be recommended for accurate sampling. Hence, "coverage error"
