Answer:
(-2,2)
Step-by-step explanation:
If you graph the equations (I recommend using desmos) you can see that the points intersect at that point.
The domain function would be y=3xv because of inverse
Answer:
As sample sizes increase, the sampling distributions approach a normal distribution. With "infinite" numbers of successive random samples, the mean of the sampling distribution is equal to the population mean (µ).
Step-by-step explanation:
population variance =σ
sample variance=}[/tex]
where n is sample size
so as n increases ,}[/tex] decreases, so sample variance decreases
Solution: The sum of probabilities of all the sample points must equal 1. And the probability of getting a head is equal to the probability of getting a tail. Therefore, the probability of each sample point (heads or tails) must be equal to 1/2. Let's repeat the experiment of Example 1, with a die instead of a coin.
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