I think this is the answer to that,,, >y = 5x^2
Answer:

Step-by-step explanation:
For this case we want to find this probability:

Because they want the area to the left of the value. We need to remember that the normal standard distribution have a mean of 0 and a deviation of 1.
We can use the following excel code: =NORM.DIST(-1.55,0,1,TRUE)
And we got:

The other possibility is use the normal standard table and we got a similar result.
Answer:
1 / 2
Step-by-step explanation:
- First observe that the fate of the last person is determined the moment either the first or the last seat is selected! This is because the last person will either get the first seat or the last seat. Any other seat will necessarily be taken by the time the last guy gets to 'choose'.
- Since at each choice step, the first or last is equally probable to be taken, the last person will get either the first or last with equal probability: 1/2
- Armed with the key observation, we see that the event that the last person's correct seat is free, is exactly the same as the event that the first person's seat was taken before the last person's seat.
- Well, each person had to make a random choice, was equally likely to choose the first person's seat or the last person's seat - the random chooser exhibits absolutely no preference towards a particular seat. This means that the probability that one seat is taken before the other must be 1/2
Answer:
For this case a parameter represent the population data and for this case the parameter would be the true mean
who represent the amount of gasoline they used in the previous week

And the sample mean is an unbiased estimator of the true mean.
Step-by-step explanation:
For this case a parameter represent the population data and for this case the parameter would be the true mean
who represent the amount of gasoline they used in the previous week
And in order to estimate the parameter of interest we use a survey of n =3800 and the sample mean who represent an statistic is given by:

And we got:

And the sample mean is an unbiased estimator of the true mean.
Answer:
x+1
Step-by-step explanation: