It's just an estimate. There's no telling how close it is.
To estimate using just the information in the table,
ASSUME that the average of all the students in each
slot is the average time of that slot.
I know that's confusing. I can't think of a better way to say it,
so here are two examples of what I mean. Look at the table:
-- 6 students said that they spent between 0 and 30 minutes.
ASSUME that those 6 students averaged 15 minutes each.
-- 21 students said that they spent between 60 and 90 minutes.
ASSUME that those 21 students averaged 75 minutes each.
So, when you add up the times for all 50 students, you'll have
(6 x 15 min) + (14 x 45 min) + (21 x 75min) + (9 x 105 min) =
When you total up all those times, divide it by 50 to estimate
the average per student.
Remember ... it's only an estimate.
If the first group had 1 student that spent 2 minutes, and
the other 5 of them spent 29 minutes, then it won't work.
But you'll never know.
25 x 2= 50, so the third grade dash is 50 meters long.
Answer:
31x27=837
31
27
217
620
837
Step-by-step explanation:
Answer:
Option C) a positive correlation.
Step-by-step explanation:
We are given the following in the question:
" People who tend to score low on one variable tend to score low on another variable."
Correlation:
- Correlation is a technique that help us to find or define a linear relationship between two variables.
- It is a measure of linear relationship between two quantities.
- A positive correlation means that an increase in one quantity leads to an increase in another quantity or decrease in one quantity leads to decrease in another quantity.
- A negative correlation means with increase in one quantity the other quantity decreases.
- +1 tells about a a perfect positive linear relationship and −1 indicates a perfect negative linear relationship.
Since, for the given case with decrease in one variable other also decreases, thus, it is an example of positive correlation. Thus, the correlation coefficient cannot be less than or equal to zero.
Thus, the correct answer is
Option C) a positive correlation.
Answer:
Null hypothesis: The proportion of active Major League Baseball players who have a batting average greater than 0.300 is 0.51 (p equals 0.51).
Alternate hypothesis: The proportion of active Major League Baseball players who have a batting average greater than 0.300 is not 0.51 (p not equals 0.51).
Step-by-step explanation:
A null hypothesis is a statement from a population parameter which is either rejected or accepted (fail to reject) upon testing. It is expressed using the equality sign.
An alternate hypothesis is also a statement from the population parameter which negates the null hypothesis and is accepted if the null hypothesis is rejected. It is expressed using any of the inequality signs.
