Answer:
20, increased, Bianca
Step-by-step explanation:
First one:
He is shown to have travelled 20km in 1 hour, so that's 20km/h.
Second:
The gradient is how steep the curve is, the steeper the faster the person is travelling. Due to the fact Bianca's curve becomes steeper, it shows she is travelling faster. Therefore, her running speed increases.
Third:
Bianca's line hits 50km before Alberto, so therefore she finished first.
Let me know if this makes sense, hope it helped! :D
Answer: 94
Step-by-step explanation:
Answer:
Commutative property of multiplication
Step-by-step explanation:
Commutative property of multiplication basically means that the order in which you multiply numbers does not matter.
For exampe:
3 x 4 = 4 x 3
12 = 12
In your case:
5 x 7 x 4 = 5 x 4 x 7
140 = 140
If we break that down:
5 x 7 x 4 = 5 x 4 x 7
35 x 4 = 20 x 7
140 = 140
Answer:
It took Markus half an hour to drive home from work. He averaged 34 miles per hour. How far does Markus live from his work?
Solution
We are given that it takes 1/2 an hour for the trip. This is a time:
t = 1/2
We are given that he averages 34 miles per hour. This is a rate:
r = 34
We are asked how few he has traveled. This is a distance. We use the d=rt equation:
d = rt
= (34)(1/2)
= 17
Markus lives 17 miles from work.
Now try one by yourself. If you want to see the answer, put your mouse on the yellow rectangle and the answer will appear.
Exercise 1
The current along the beach is moving towards the south at 1.5 miles per hour. If a piece of debris is placed into the water, how far will the current take it in 6 hours?
Step-by-step explanation:
Answer:
True
Step-by-step explanation:
Descriptive statistics gives certain information about the data that helps us understand it better. For example, If you have a data set containing the number of customers that visit a shopping mall per day, the proportion of male customers or the average number of customers over period of time are some examples of descriptive statistics.
Inferential statistics uses sample data from a larger population to make certain inferences and draw conclusions about that population based on some standard procedures. Some examples of methods in inferential statistics are, Confidence intervals, Hypothesis Testing and Regression analysis
