Use Green's Theorem...
(This One's Different from my last one)

a = √ x^2 + y^2 or a = −√x^2 + y^2

Step-by-step explanation:

Let's solve for a.

x2 + y2 = a2

Step 1: Flip the equation.

a2 = x2 + y2

Step 2: Take square root.

final a = √x2 + y2 or a = −√x2 + y2

a = √x^2 + y^2

        OR

a = − √x^2 + y^2

Step-by-step explanation:

x^2 + y^2 = a^2, which can also be written as:

a^2 = x^2 + y^2

Taking the square root on both sides, we get:

a = √x^2 + y^2

        OR

a = − √x^2 + y^2

Hope this helps!

"it's not the heat, it's the humidity".   that's a partly valid phrase you may have heard in the summer, but it's actually both.   the heat index, also known as the apparent temperature, is what the temperature feels like to the human body when relative humidity is combined with the air temperature.   this has important considerations for the human body's comfort.   when the body gets too hot, it begins to perspire or sweat to cool itself off.   if the perspiration is not able to evaporate, the body cannot regulate its temperature.   evaporation is a cooling process.   when perspiration is evaporated off the body, it effectively reduces the body's temperature.   when the atmospheric moisture content (i.e. relative humidity) is high, the rate of perspiration from the body decreases.   in other words, the human body feels warmer in humid conditions.   the opposite is true when the relative humidity decreases because the rate of perspiration increases.   the body actually feels cooler in arid conditions.   there is direct relationship between the air temperature and relative humidity and the heat index, meaning as the air temperature and relative humidity increase (decrease), the heat index increases (decreases).

step-by-step explanation:

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;