Answer:
A. Qualitative data describe categories, while quantitative data represent counts or measures. Brand names of shoes in a consumer survey and eye colors are examples of qualitative data. Heights of students and quiz scores are examples of quantitative data.
Step-by-step explanation:
Data collected for statistical purposes can be broadly categorised as
qualitative and quantitative
A qualitative data is normally non numerical and indicates the categories to which the data belong to. It can be assigned codes if necessary but it is definitely not numerical. Examples are gender, race, etc. Quantitative data uses measures such as dimensions, age, amount etc and given in values in numerical units.
Hence we can say brand names of shoes, and eye colors are qualitative while heights of students and quiz scores are qualitative
Hence correct option is
A. Qualitative data describe categories, while quantitative data represent counts or measures. Brand names of shoes in a consumer survey and eye colors are examples of qualitative data. Heights of students and quiz scores are examples of quantitative data.
Answer:
(a-1) *(a^2 +a-1) (a+2)
Step-by-step explanation:
a^4+2a^3-a-2
Lets factor by grouping
a^4-a + 2a^3-2
Factor out an a from the first group and a 2 from the second group
a(a^3 -1) +2(a^3-1)
Factor out (a^3-1)
(a^3-1)(a+2)
We need to recognize that a^3-1 is the difference of cubes
(x^3-y^3) = (x-y) (x^2+xy+y^2)
Let x=a and y=1
(a-1) *(a^2 +a-1) (a+2)
Answer:
56 inches
Step-by-step explanation:
4 feet in inches is 48
48+8=56
2:10 and 4:20
therfor
1:5
times 5
5:25
answer is 25 minutes
Answer:
Brady did not distribute the -1 correctly.
Step-by-step explanation:
The given expresion is
Recall that for all real numbers a, b, and c, the distributive property says that:
We apply this property to get:
But Brady said it is equivalent to 1.3-4.5
Hence Brady did not apply the distributive property correctly.