The number of water stations there are along the 13 1/2 miles long road race according to the task content is; Choice C; 18 water stations.
<h3>What is the number of water stations along the road race?</h3>
It follows from the task content that the number of water stations can be determined as follows;
13 1/2 ÷ 3/4
= 27/2 × 4/3
= 18 water stations.
Read more on fraction division;
brainly.com/question/407943
#SPJ1
is the same as
. The 4s will cancel leaving you with
or
, your 3rd option.
Answer:
22
Step-by-step explanation:
10*1=10
then as we know first we should do multiplier and division so,
2*60=120, 120/10=12
10+12=22
There are 264 male students in the high school containing 600 students.
<h3>What is an
equation?</h3>
An equation is an expression that shows the relationship between two or more numbers and variables.
There are 600 students altogether, hence:
Number of freshmen = (1/5) * 600 = 120
Number of other graders = 600 - 120 = 480
Number of male freshmen = 120 - (0.4 * 120) = 72
Number of male other graders = (1 - 3/5) * 480 = 192
Total number of male = 72 + 192 = 264
There are 264 male students in the high school containing 600 students.
Find out more on equation at: brainly.com/question/1214333
Answer:
A) The brand of cars driven by Harvard instructors
C) The types of plants growing in yellowstone
Step-by-step explanation:
Categorical and numerical variables:
- Numerical data can be expressed with the help of numerical.
- Categorical data cannot be expressed by numerical.
- They do no have any particular value.
- They are the non-parametric data.
- Categorical data are also known as qualitative data.
A) The brand of cars driven by Harvard instructors
Since the brands cannot be expressed in numerical, it is a categorical variable.
B) The age of randomly selected biology students.
The age of student are expressed in whole numbers or decimals. Thus, it is a numerical data.
C) The types of plants growing in yellowstone
Again, the type of plants cannot be expressed with the help of numerical. Thus, it is a categorical variable.
