Answer:
so what should we do it is incomplete answer
Step-by-step explanation:
42
<h2>
Greetings!</h2>
Answer:
It would cost 47.36
Step-by-step explanation:
First, you need to find out how many gallons are needed to fill the tank. To do this, simply multiply 25 by the fraction that is how much is already in there:
25 x 
= 9.375
So that means that there is 9.375 gallons already in the tank. To find the amount needed to fill the tank:
25 - 9.375 = 15.625
So 15.625 gallons are needed, rounded up to 16 gallons because you cannot get a decimal value of gallons.
That means that 16 x the price = the amount to fill the tank:
16 x 2.96 = 47.36
So it would cost 47.36 to fill the tank!
<h2>Hope this helps!</h2>
Using it's concept, it is found that there is a 0.125 = 12.5% experimental probability that a randomly selected preschooler would choose to read books today.
<h3>What is a probability?</h3>
A probability is given by the <u>number of desired outcomes divided by the number of total outcomes</u>.
For an experimental probability, these numbers of outcomes are taken from previous trials.
In this problem, in the previous trial, one out of eight students read a book, hence:
p = 1/8 = 0.125 = 12.5%.
There is a 0.125 = 12.5% experimental probability that a randomly selected preschooler would choose to read books today.
More can be learned about probabilities at brainly.com/question/14398287
Answer:
$30 is not a lot of Capita so every $ needs to count!
Step-by-step explanation:
Budget well.
Answer: compare the relative strength of coefficients.
Step-by-step explanation: The Coefficient of determination usually denoted as R^2 is obtained by taking the squared value of the correlation Coefficient (R). It's value ranges from 0 to 1 and the value obtained gives the proportion of variation in the dependent variable which could be attributed to it's correlation or relationship to th independent variable. With a R^2 value close to 1, this means a large portion of Variation in a variable A could be explained due to changes in variable B while a low value signifies a low variance between the variables. Hence, the Coefficient of determination is used in comparing the relative strength of the Coefficients in other to establish whether a weak or strong relationship exist.
