When two random variables X and Y are considered to be independent, it means that neither X's distribution nor Y's values have any bearing on the other.
<h3>What do you mean by independent random variable?</h3>
A random variable is a variable used in an experiment, such as the number of coin tosses or card draws. An independent random variable is a random variable in your experiment that doesn't affect the other random variables. In other words, it has no impact on the likelihood that another event will occur. For illustration, suppose you randomly selected 50 bags of sugar from various grocery stores in order to determine the average weight of a bag of sugar. The factors are independent since you wouldn't anticipate the weight of one bag having an impact on another. A dependent random variable, on the other hand, does have an impact on the probability of other random variables.
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Answer: x = 2y + 4
Step-by-step explanation:
y=1/2x-4
multiply both sides by 2
2y=x-4
substract from both sides 2y
0=x+–2y-4
substract from both sides x
-x=-2y-4
multiply both sides by -1 to get positive x
x=2y+4
Answer:
Nominal
Step-by-step explanation:
There are four levels of measurement of data listed below in increasing order:
Nominal
Ordinal
Interval
Ratio
The nominal level of measurement is the lowest level that deals with names, categories and labels. It is a qualitative expression of data e.g Colors of eyes, yes or no responses to a survey, and favorite breakfast cereal all deal with the nominal level of measurement.
Data at this level can't be ordered in a meaningful way, and it makes no sense to calculate things such as means and standard deviations.
The expected assembly time is the middle of the range of the uniform distribution, 8 minutes.
