Let
x--------> the number of dozen of eggs
f(x)-------> the number of eggs
we know that

The domain of the function is the amount of dozens of eggs that Monica can buy
The domain is the interval-------> ![[2,3,4,5,6]](https://tex.z-dn.net/?f=%5B2%2C3%2C4%2C5%2C6%5D)
All integers from
to
, inclusive
The range is the interval-------> ![[27, 39, 51, 63, 75]](https://tex.z-dn.net/?f=%5B27%2C%2039%2C%2051%2C%2063%2C%2075%5D)
therefore
<u>the answer is the option</u>
All integers from
to
, inclusive
Answer:
complementary
x = 55
Step-by-step explanation:
Hello!
To find the volume of the water, we would need to use the density formula. The density formula is d = m/V.
In this formula, d is the density, m is the mass and V is the volume.
1. To find the volume of 100 grams of ice, we substitute the appropriate values into the formula and solve for the volume using basic algebra.
0.92g/cm³ = 100g/V (multiply both sides by V)
0.92g/cm³ · V = 100g (divide both sides by 0.92g/cm³)
V = 108.69 cm³.
The volume of 100 grams of ice is about 108.69 cm³.
2. To find the volume of the completely melted ice, we would use the same formula, but the density is now 1.00 g/mL.
1.00g/mL = 100g/V (multiply both sides by V)
1.00g/mL · V = 100g (divide both sides by 1.00g/mL)
V = 100 mL
Therefore, the volume of the melted ice is 100 mL.
<u>Final answers</u>:
- 108.69 g/cm³
- 100 mL
Answer:
If the null hypothesis is true in a chi-square test, discrepancies between observed and expected frequencies will tend to be small enough to qualify as a common outcome.
Step-by-step explanation:
Here in this question, we want to state what will happen if the null hypothesis is true in a chi-square test.
If the null hypothesis is true in a chi-square test, discrepancies between observed and expected frequencies will tend to be small enough to qualify as a common outcome.
This is because at a higher level of discrepancies, there will be a strong evidence against the null. This means that it will be rare to find discrepancies if null was true.
In the question however, since the null is true, the discrepancies we will be expecting will thus be small and common.