The ounces are greater than the pints.
I do hope I got what you needed and helped! :)
Answer:
30x-5
Step-by-step explanation:
25-5=20
20-5=15
-5 -10 -15 -20 -25
25 20 15 10 5
I hope that helped you
88.23%
Simply plug 15/17 into you calculator
and it will give you a decimal, in this case it should be .88235294...
simply move the decimal back to placements and you should have
88.235294... thats still a lot of numbers so just reduce it to 2 places after the decimal and add a percent sign
88.23%
and your done :) this works for any similar problems
I hope this helps
Answer:
Complete the following statements. In general, 50% of the values in a data set lie at or below the median. 75% of the values in a data set lie at or below the third quartile (Q3). If a sample consists of 500 test scores, of them 0.5*500 = 250 would be at or below the median. If a sample consists of 500 test scores, of them 0.75*500 = 375 would be at or above the first quartile (Q1).
Step-by-step explanation:
The median separates the upper half from the lower half of a set. So 50% of the values in a data set lie at or below the median, and 50% lie at or above the median.
The first quartile(Q1) separates the lower 25% from the upper 75% of a set. So 25% of the values in a data set lie at or below the first quartile, and 75% of the values in a data set lie at or above the first quartile.
The third quartile(Q3) separates the lower 75% from the upper 25% of a set. So 75% of the values in a data set lie at or below the third quartile, and 25% of the values in a data set lie at or the third quartile.
The answer is:
Complete the following statements. In general, 50% of the values in a data set lie at or below the median. 75% of the values in a data set lie at or below the third quartile (Q3). If a sample consists of 500 test scores, of them 0.5*500 = 250 would be at or below the median. If a sample consists of 500 test scores, of them 0.75*500 = 375 would be at or above the first quartile (Q1).
