According to the World Health Organization (WHO), Body Mass Index (BMI) is a statistic that indicates the ratio of a person's weight to their body volume. The Center for Disease Control (CDC) uses the table to classify children from ages 2 to 20. Because BMI values change as children grow, the CDC uses percentiles rather than fixed values for BMI. Percentiles provide a basis of comparison for BMI over time. Weight status Percentile range
Underweight: Less than the 5th percentil
Healthy weight: 5th percentile to less than the 85th percentile
Overweight: 85th to less than the 95th percentile
Obese: Equal to or greater than the 95th percentile

Based on data from WHO, a representative sample of 15-year-old males could consist of the following 15 values.

18.1, 18.6, 15.9, 17.6, 21.9, 16.9, 20.8, 19.4, 21.3,
22.7, 19.0, 20.3, 19.8, 30.8, 24.3

85th percentile:

alot

step-by-step explanation:

its a wood chuck that can chuck wood

the value of v.w= -12.

step-by-step explanation:

we are given three vector r,v and w as:

r = < 5, -5, -2> ; v = < 2, -8, -8> ; w = < -2, 6, -5>

we know that r,v and w could also be represented as:

r=5i-5j-2k

v=2i-8j-8k

and w= -2i+6j-5k

where i,j and k are the unit vectors of x,y and z-axis respectively.

also we know that it has the following property:

i.i=1 ; j.j=1; k.k=1

and i.=j.i=i.k=k.i=j.k=k.j=0

i.e. when we multiply two vectors or we find it's dot product we need to only multiply the components of x coordinates with each other; y with each other and z with each other.

hence, v.w= (2i-8j- -2i+6j-5k)

                  = 2×(-2)+(-8)×(6)+(-8)×(-5)

                  = -4-48+40

                  = -12

hence, v.w= -12

so, converting firstly the mixed fractions to improper fractions and then "adding".

d. 24+-0.114

step-by-step explanation:

the question requires us to calculate the approximate 95% confidence interval for the mean number of ounces of ketchup per bottle in the sample given the following statistics;

sample mean = 24

standard deviation, σ = 0.4

sample size , n = 49

the confidence interval for a population mean is calculated using the formula;

sample mean ± z-score*(σ/sqrt(n))

the z-score associated with a 95% confidence interval, from the standard normal tables, is;

1.96

substituting these values into the formula;

24 ± 1.96*(0.4/7)

= 24 ± 0.112

from the alternatives given, choice d is closest to the above expression;