Answer:
1.02n
Step-by-step explanation:
A simplified version of this expression would be the following
1.02n
This is basically adding the n variables together. We do this by adding a 1 to the number being multiplied to n. This would basically add the 2% on top of what the original pay per hour is. We can prove that these two expressions are the same by substituting n for 10 in both expressions and solving them.
1.02n
1.02 * 10 = 10.2
n + 0.02n
10 + 0.02*10
10 + 0.2 = 10.2
For step b. would be 44 divided by 19 = b for step c you can answwer seeing i gave you the equation and along with question a do things you know first then you might have the answers for the rest i hope this helps
Answer:
The average rate of change of rainfall in the rainforest between 2nd year and 6th year = <u>3 inches</u>
Step-by-step explanation:
Given function representing inches of rainfall:
To find the average rate of change between the 2nd year and the 6th year.
Solution:
The average rate of change between interval ![[a,b]](https://tex.z-dn.net/?f=%5Ba%2Cb%5D)
is given as :
For the given function we need to find the average rate of change between 2nd year and 6th year. ![[2,6]](https://tex.z-dn.net/?f=%5B2%2C6%5D)
So, we have:
Thus, average rate of change will be:
⇒ 
⇒ 
⇒ 
Thus, the average rate of change of rainfall in the rainforest between 2nd year and 6th year = 3 inches
It would be 1. You add all the temperatures. Get the sum and divide it by the amount of temperatures.
The Normal probability distribution function is left-skewed, right-skewed, or symmetric depending on the values of the variance and the standard deviation might the mean of a probability distribution for a discrete random variable be less than (or greater than) the average of possible values.
A probability distribution is a mathematical function that describes the probabilities of different possible values of a variable. Probability distributions are often represented using graphs or probability tables.
Probability distributions are called discrete probability distributions, and the set of outcomes is inherently discrete. For example, if you roll a die, all possible outcomes are discrete and you get a large number of outcomes. Also called probability mass function.
Learn more about probability distribution at
brainly.com/question/9385303
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