Answer:
≈50.6
Step-by-step explanation:
Not sure what precision level this problem is looking for, but for right-skewed distributions, we know that the mean is going to be pulled right and therefore the mean should be larger than the median. To a high confidence level, the mean should fall between 50 and 59, or in the third column.
If a single estimation is wanted, assume the values inside each column are uniformly distributed:
Answer:
73%
Step-by-step explanation:
First, you'll divide the total squares by 100 to get how much is one percent. Then, you divide the shaded squares by the value of 1%. And you'll get how many percents are shaded.
For equivalent decimal, you divide the number by 100.
Then for equivalent decimal, you get the percent and 100.
Answer:
See Explanation
Step-by-step explanation:
Your question is incomplete, as the equations or graph or table(s) were not given.
However, I'll give a general way of solving this.
Take for instance, the equations are:
To do this, we start by equating both equations.
i.e.
Collect Like Terms
Take LCM
Cross Multiply
Make x the subject
Substitute 3/4 for x in
Hence: