Answer:
13. 1/2, 5/8, 3/4
16. 7/12, 3/5, 2/3
Step-by-step explanation:
make them have the same denominator.
13) 1/2 x 4 = <u>4/8</u>, <u>5/8</u>, 3/4 x 2= <u>6/8</u>
16) Grab two fractions let's say 3/5 and 2/3
Multiply 3/5 denominator (5) with 2/3 numerator (2)
It's 10 and place it above the number you multiplied the numerator from so it's above 2/3. Do it again but with 2/3 denominator (3) and 3/5 numerator (3). Multiply 3 and 3 you get 9. Place the 9 above 3/5. We know that 9 is less than 10 so 3/5 is less than 2/3. You can do this with any two fractions.
<h3>
Answer: Only first two are exponential growth function and last three functions are exponential decay functions.</h3>
Step-by-step explanation: We need to describe exponential growth or decay for the given functions.
The standard exponential function equation is
.
Where a is the initial value and b is the growth factor.
Note: If value of b > 1, it would be an exponential growth and if b < 1, it would be an exponential decay.
Let us check them one by one.
=> 
=>
.
Value of b is 1.008 > 1, therefor it's an exponential growth function.
y=250(1+0.004)^t, also have b>1 therefor it's an exponential growth function.
All other functions has b values less than 1, therefore only first two are exponential growth function and last three functions are exponential decay functions.
They would be 69 and 70.
Your equation would be x + (x + 1) = 139
X would be the first integer and x + 1 would be the second
You would then solve the equation to get x as 69
X + 1 would then be 70
We can plot this data on MS Excel and determine the distribution of these data reflected on the graph. Among these numbers, 50 is the outlier since it is very far from the other numbers ranging from 76 to 83. We can perform interquartile range to determine or verify the outliers in the data set. In this respect, we can see that there is not much distribution seen. The average of all data sets is equal to 96.25. When the outlier (50) is removed, we expect the mean to become higher since a low number was ommitted including high numbers only. Outliers are obtained from special causations such as human errors.