Question

HELP REALLY NEED!?!?!?!?!?!?!?!?!?!?!?!

Answer 1

A box plot was made to represent the number of matches won by 14 participants in a tennis tournament. The box plot was symmetric. Based on the box plot, which conclusion is most likely correct?

There are no participants who won exceptionally large or small number of matches.
The mean of matches won by participants is more than the median of matches won by participants.
Most of the participants won many matches, but some participants won very few matches compared to the others.
Most of the participants won very few matches, but some participants won many matches compared to the others.

Answer 2

Out of the 120 students at a summer camp, 72 signed up for canoeing. There were 23 students who signed up for trekking, and 13 of those students also signed up for canoeing.

Use a two-way table to organize the information and answer the following question:

Approximately what percentage of students signed up for neither canoeing nor trekking?

10%
12%
38%
32%

Answer 3

Two groups of students were asked how many hours they spent reading each day. The table below shows the numbers for each group:


Group A 1 2 1 1 3 3 2 2 3
Group B 3 2 3 2 2 2 1 1 2


Based on the table, which of the following is true?
The interquartile range for Group A students is 0.5 less than the interquartile range for Group B students.
The interquartile range for Group A students is equal to the interquartile range for Group B students.
The interquartile range for Group A employees is 0.5 more than to the interquartile range for Group B students.
The interquartile range for Group A employees is 1 more than the interquartile range for Group B students.

Answer 4

Sarah described the following situation:

When one patient with a common cold takes a medicine and the other patient does not take any medicine, the person who takes medicine recovers faster than the person who does not take medicine.

Which of the following best describes the situation?

This is an example of both correlation and causation.
This is an example of neither correlation nor causation.
This is an example of correlation.
This is an example of causation.

Answer 5

The table below shows the values of y for different values of x:


x 7 8 9 10 11 12 13
y 13 10 7 6 5 3 0


The correlation coefficient for the data is −0.9847. Which statement is true about the data in the table?
There is no relationship between x and y.
There is a weak negative relationship between x and y.
There is a strong positive relationship between x and y.
There is a strong negative relationship between x and y.

Answer 6

what you need

Answer 7

@austinwst13

Answer 8

@AnitaS.

Answer 9

@g3n3sis08

Answer 10

@batmano3

Answer 11

@autumnm