40$ - 100% (full price)
x$ - 70% (100-30=70%)
40 * 70 = 100x
2800 = 100x
x = 28
Answer 28$
or
40$ = 100%
then 1% = 40/100 = 0.4$
so 70% will be 0.4 * 70 = 28$
Differentiate both sides with respect to
:
When
, you have
For part (b), we now assume that
and
are functions of an independent variable, which we'll call
(for time). Now differentiating both sides with respect to
, we have
where the chain rule is used on the right side. We're told that
is decreasing at a constant rate of 0.1 units/second, which translates to
. So when
, you have
where the unit is again units/second.
Answer:
d) 87.92
Step-by-step explanation:
V = A(base)* height= πr² * h= 3.14*2²*7=87.92
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"
