Answer:
The total number of whole cups that we can fit in the dispenser is 25
Step-by-step explanation:
It is given that the height of each cup is 20 cm.
But when we stack them one on top of the other, they only add a height of 0.8 to the stack.
The stack of cups has to be put in a dispenser of height 30 cm.
So we need o find out how many cups can fit in the dispenser.
Since the first cup is 20 cm high, the height cannot be reduced. So the space to fit in the remaining cups in the stack is only 30-20 cm as that’s the remaining space in the dispenser
So,
30 - 20 = 10 cm
To stack the other cups we have 10 cm of height remaining
As we know that addition of each adds 0.8 cm to the stack, the total number of cups that can be fit in the dispenser can be calculated by the following equation. Let the number of cups other than the first cup be denoted by ‘x’.
10 + 0.8x = 30
0.8x = 20
x = 25
The total number of cups that we can fit in dispenser is 25
The answer will probably be -0.665
Value of the pursue in cents: 
Step-by-step explanation:
Let's call:
= number of pennies
The problem tells us that the pursue contains twice as many nickels as pennies, so the number of nickels is
Also, the pursue contains five more dimes than nickels, so the number of dimes is
And finally, the pursue contains as many quarters as dimes and nickels combained, so the number of quarters is
The value of each type of coin is:
Penny: 1 cent
Nickel: 5 cents
Dime: 10 cents
Quarter: 25 cents
So, the total value of the pursue in cents is:
And substituting,
So, this is the value of the change in the pursue in cents.
Learn more about expressions:
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Answer:
Independent
Step-by-step explanation:
From the word independent, which means being able ot stand alone, that is the absence or presence of one has no impact on the outcome of each phenomenon. Two events A and B are said to be independent, if the occurence of one has no bearing on the probability or chance that B will occur. This means that each event occurs without reliance on the occurence of the other. This is different from mutually exclusive event whereby event A has direct bearing in the probability of the occurence of event B.
