Answer:
There would be 9 cups of sugar with 6 cups of cocoa in the cake
Step-by-step explanation:
Put the 3 cups of sugar on top and then put a line below it to make it a ratio and then put the 2 cups of cocoa powder. Multiply cups of cocoa by 3 to make 6 cups of cocoa. Then since you multiplied the bottom you also need to multiply the top by 3, so you would multiply the 3 cups of sugar by 3 to get 9 cups of sugar in his cake.
Answer:
We cant read this this is up side down we cant even really see the graph
Step-by-step explanation:
A. It takes 25 minutes for the robot to complete one task
B. It can complete 4 tasks in one hour
Answer:
x<8
Step-by-step explanation:
Open parenthesis first:
3x-6<18
Put all like terms on one side:
3x<18+6
3x<24
Simplify:
3x<24 -----> Divide both sides by 3 to cancel out the 3 in 3x.
x<8
<em>~Stay golden~ :)</em>
Answer:
a. X is the number of adults in America that need to be surveyed until finding the first one that will watch the Super Bowl.
b. X can take any integer that is greater than or equal to 1.
.
c.
.
d.
.
e.
.
f.
.
Step-by-step explanation:
<h3>a.</h3>
In this setting, finding an adult in America that will watch the Super Bowl is a success. The question assumes that the chance of success is constant for each trial. The question is interested in the number of trials before the first success. Let X be the number of adults in America that needs to be surveyed until finding the first one who will watch the Super Bowl.
<h3>b.</h3>
It takes at least one trial to find the first success. However, there's rare opportunity that it might take infinitely many trials. Thus, X may take any integer value that is greater than or equal to one. In other words, X can be any positive integer:
.
<h3>c.</h3>
There are two discrete distributions that may model X:
- The geometric distribution. A geometric random variable measures the number of trials before the first success. This distribution takes only one parameter: the chance of success on each trial.
- The negative binomial distribution. A negative binomial random variable measures the number of trials before the r-th success. This distribution takes two parameters: the number of successes
and the chance of success on each trial
.
(note that
) is equivalent to
. However, in this question the distribution of
takes two parameters, which implies that
shall follow the negative binomial distribution rather than the geometric distribution. The probability of success on each trial is
.
.
<h3>d.</h3>
The expected value of a negative binomial random variable is equal to the number of required successes over the chance of success on each trial. In other words,
.
<h3>e.</h3>
.
Some calculators do not come with support for the negative binomial distribution. There's a walkaround for that as long as the calculator supports the binomial distribution. The r-th success occurs on the n-th trial translates to (r-1) successes on the first (n-1) trials, plus another success on the n-th trial. Find the chance of (r-1) successes in the first (n-1) trials and multiply that with the chance of success on the n-th trial.
<h3>f.</h3>
.