It abolished discrimination, on religion, race, national origin, and color.
Probabilities are used to determine the chances of hitting the bullseye
<h3>How to plot the graph</h3>
The sample space is given as:
Sample space = {NN, NB, BN, BB}
From the sample space above, we have the following theoretical values
P(N = 2) = 0.25
P(N = 1) = 0.50
P(N = 0) = 0.25
Next, we plot the graph of the theoretical probability distribution
Where:
- The x-axis represents the number of hits
- The y-axis represents the probability
See attachment for the graph
Read more about probabilities at:
brainly.com/question/25870256
Answer:
Remember that correlation does not imply causation. Just because two things have a correlate with one another, it does not mean that we can jump to an conclusion.
If we look at the graph below, we can see that the rate of diagnosed autism and sales of organic food have an almost perfect correlation. However, we know for a fact that organic food does not cause autism- it just so happens that they correlate with one another.
That is why correlations cannot show cause and effect. To prove that a correlation does so, further studies and experiments must be done.
Answer:
my answer would be the 3rd one about blocking it.