Answer: B) neither Jenna and Mike are correct.
Step-by-step explanation: If you calculate the distance between points B and A, then the points that Mike and Jenna gave, all of the sides would be different.
6y - 3x > 9
-3x > -6y + 9
x < 2y - 3....yes, it is shaded below the line
Final answer:
The odds against exactly 5 cars passing over the bridge in that time is calculated as 4:21
<h3>
Why don't we use probability instead of odds ?</h3>
A probability must be between 0 and 1 (nothing can happen with a greater than 100% likelihood). The chances are not as limited. Odds can be any positive number; for example, a chance of 2/3 is equivalent to odds of 2/1. By simply dividing the favorable number of possibilities by the entire number of possible outcomes, the probability of an occurrence can be determined using the probability formula.
By dividing the odds in the first group by the odds in the second group, the odds ratio is calculated. For many clinicians, odds and odds ratios are difficult to comprehend. Odds are calculated by dividing the likelihood of an event happening by the probability that it won't.
To learn more about probability of odds , visit ,
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Answer:
Step-by-step explanation:
Hello!
The standard normal distribution is a bell-shaped distribution with mean 0 and standard deviation 1.
a.
You need to find the number of Z so that 0.9986 of the distribution is below it. Symbolically:
P(Z≤a) = 0.9986
To do so you have to use the table of the standard deviation distribution. These tables show values of accumulative probabilities
(right entry, positive values of Z) and
(left entry of the table, negative numbers of Z)Since the probability value greater than 0.5 (remember, for this distribution, the mean is zero and the cumulative probability to the mean is the 50% of the distribution), you have to look for it in the body of the right Z-table and then reach the margins to know the corresponding Z value. The first column shows the integer and first decimal and the first row shows the second decimal.
(1st attachment)
Z= 2.98
b.
Now you have to look for a value of the distribution that has above it 60% of the distribution, symbolically:
P(Z>b)=0.6
Now the table only gives you values "less or equal than" the corresponding value of Z. So you have to rewrite this expression so that you cand find the missing value. A little reminder: The maximal value of probability for any distribution is 1. So you can rewrite the expression as:
P(Z>b)=0.6 ⇒ P(Z≤b)= 1 - 0.6
P(Z≤b)= 0.4
This value of Z accumulates a probability of 40% since it is less than 50% then you have to look for this value in the left entry of the table and b will be a negative value of Z. Just as before, look for the probability in the body of the table and then the corresponding Z value in the margins. (2nd attachment)
Z= - 0.25
I hope this helps!