Answer:
And we can find this probability using the complement rule and with excel or the normal standard table:
Step-by-step explanation:
Previous concepts
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".
Solution to the problem
Let X the random variable that represent the weights of a population, and for this case we know the distribution for X is given by:
Where and
We are interested on this probability
And the best way to solve this problem is using the normal standard distribution and the z score given by:
If we apply this formula to our probability we got this:
And we can find this probability using the complement rule and with excel or the normal standard table:
Answer: 9b+4n+6d+7
Step-by-step explanation:
1. 9b+9+4n−4+6d+2
2. 9b+4n+6d+(9-4+2)
3. 9b+4n+6d+7
Answer:
Step-by-step explanation:
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A
the ratio 12 : 4 simplifies to 3 : 1
ratio of A is 3 : 1
ratio of B is 2 : 1
ratio of C is 3 : 1
ratio of D is 4 : 3