Answer:
The correct answer is False.
Step-by-step explanation:
The cumulative distribution function of a continuous random variable is the probability that the random variable X is less than or equal to x, where x is a specific value of the continuous random variable X.
The cumulative distribution function is a function that is usually derived from a continuous random variable. We actually calculate the area underneath a probability density function between two points.
Answer:
PEMDAS
Step-by-step explanation:
Well, I don't know if there should be a picture of the problem that should go with the question. But a trick for solving distributive property is to use the trick PEMDAS In order.
For Example:
P-Paraenthese
E-Exponent
M-Multiply
D-Divide
A-Add
S-Subtract
NOTE!
Remember to always Multiply and divide BEFORE adding and subtracting.
Hoped this helped!
Answer:
The answer is option A.
Step-by-step explanation:
If the report is made once a month, the daily variations (including the tendency to decrease efficiency on Friday) will be masked within the monthly result.
It would only generate an ethical problem in the case that Fridays fall in different samples, but in the case of the monthly report there are usually 4 or 5 Fridays included in each sample.
Answer:
contradiction
Step-by-step explanation:
they are both the same thing so how can they contradict? they can because the sign in the middle is greater than. if you put 1 in as x, you will get 2 is greater than 2 which does not make sense
B = CA
....hope this helps
