We can solve this problem using the binomial distribution. A binomial distribution<span> can be thought of as a success or failure outcome in an experiment or survey that is repeated multiple times.
</span>Probability function of binomial distribution has the following form:
p represents the probability of each choice we want. k is the number of choices we want and n is the total number of choices.
In our case p=0.85, k=5 and n=6.
We can now calculate the answer:
The probability is 39%.
.
Answer:
The value of the experimental probability is greater
Step-by-step explanation:
For the theoretical probability;
the probability that a card with the number 3 is selected is 1/5
We consider that the probabilities of each selection are equal, for the theoretical probability
For the experimental, we simply place the frequency of the selection 3 over the total
that will be 128/400 = 8/25
As we know that 8/25 is greater than 1/5
We can conclude that the value of the experimental probability is greater than that of the theoretical
Answer:
See attached picture.
Step-by-step explanation:
Find critical points to graph the rational function.
When x = 0, then y = 5 / 2 = 2.5.
When y=0, then 0=-3x+5 and x= 5/3 =1.6667.
Plot the points (0,2.5) and (1.6667, 0). Then draw the "L" shape graphs of the rational function.