In terms of pi means to include pi in your answer. In other words, don't use 3.14 or 22/7 for pi.
Correlation between x & y is 0.6125.
In probability theory and statistics, the cumulative distribution function of a real-valued random variable X, or simply the distribution function of X weighted by x, is the probability that X takes a value less than or equal to x.
The cumulative distribution function (CDF) of a random variable X is defined as FX(x)=P(X≤x) for all x∈R. Note that the subscript X indicates that this is the CDF of the random variable X. Also note that the CDF is defined for all x∈R. Let's look at an example.
Learn more about cumulative distribution here: brainly.com/question/24756209
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Answer:
52
Step-by-step explanation:
<u>Spinner A</u>
- Probability of red = 0.5,
- Probability of blue = 0.5
<u>Spinner B</u>
- Probability of red = 0.6,
- Probability of blue = 0.4
<u>Probability of both A and B land on red: </u>
<u>Number of attempts to get outcome of 84 red on both spinners is:</u>
<u>Probability of both spinners land on blue:</u>
<u>Estimated number of both spinners land on blue:</u>
Answer:
1:4
Step-by-step explanation:
Let's find the ratio of one side of Figure A to one side of Figure B. Note that the have to be the same side on each triangle (Ex: The short side and the short side or the medium length side and the medium length side or the long side and the long side)...
14:56
We can simplify this into...
1:4
Answer:
Yes, this is a valid inference because she took a random sample of the neighborhood.
Step-by-step explanation:
As her survey was non bias and completely random and she found that 15% of the families would participate in the event. She claims that 15% of the neighborhood families would be expected to participate in the sports event. So, yes, this is a valid inference because she took a random sample of the neighborhood.
