Answer:
And we can find this probability using the normal standard distribution or excel and we got:
Step-by-step explanation:
For this case we assume the following complete question: "The pucks used by the National Hockey League for ice hockey must weigh between 5.5 and 6 ounces. Suppose the weights of pucks produced at a factory are normally distributed with a mean of 5.86 ounces and a standard deviation of 0.13ounces. What percentage of the pucks produced at this factory cannot be used by the National Hockey League? Round your answer to two decimal places.
"
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 normal standard distribution or excel and we got:
Answer:
Step-by-step explanation:
If she only has $8, she can't spend more than that. In other words, she can spend ≤$8.
If each ticket is $1.50 per ticket, the inequality that represents how many tickets she can buy if x represents the number of tickets, is
1.5x ≤ 8
Answer:
x = 10
Step-by-step explanation:
By the converse of the side-splitter theorem, if
, then KM ∥ JN.
Substitute the expressions into the proportion:

Cross-multiply:
(x – 5)(x+4) = x(x – 3).
Distribute:

Multiply and simplify:

Solve for x: x = 10
Therefore, the value of x that would make KM parallel to JN is 10.