1.1 Factoring: 4x2+9y2+16z2-6xy-12yz-8xz
Thoughtfully split the expression at hand into groups, each group having two terms :
Group 1: -6xy-12yz
Group 2: 16z2-8xz
Group 3: 4x2+9y2
Pull out from each group separately :
Group 1: (x+2z) • (-6y)
Group 2: (x-2z) • (-8z)
Group 3: (4x2+9y2) • (1)
Looking for common sub-expressions :
Group 1: (x+2z) • (-6y)
Group 3: (4x2+9y2) • (1)
Group 2: (x-2z) • (-8z)
Answer:
I think its Quadratic term
Step-by-step explanation: Correct me if I'm wrong :D
The answers are as follows:
Box 1) D
Box 2) .02D
Box 3) D + .02D
Answer:
This is a 10 percent increase
Step-by-step explanation:
Last week he spent 10 hours
This week 11 hours
percent increase = (new - original )/original * 100 percent
= (11-10)/10 * 100 percent
= 1/10 * 100 percent
= 10%
This is a 10 percent increase
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"
