Answer:
I believe it's C. (0.4)
Step-by-step explanation:
Answer:
(5,-2).
_______________________
South is Negative Y axis.
East is Positive X axis.
(look at the compass in the top right corner)
Cory's current coordinates are (1,1).
When Cory walks 3 units south, he moves 3 steps downwards in the Y axis, which means if his current Y position is 1, we subtract 3, ( 1 - 3 = -2).
And when Cory moves 4 units east, Add 4 as he is walking in the positive X axis. (4 + 1 = 5).
new (x,y) are (5,-2).
We have that
<span>4 1/ 3
−1 1/3 </span>
the answer in the attached figure
Answer:
Confidence Interval for the mean
Step-by-step explanation:
Confidence interval is made using the observations of a <em>sample</em> of data obtained from a population, so it is constructed in such a way, that, with a certain <em>level of confidence </em>(this is the statement mentioned in the question), that is, one could have a percentage of probability that the interval, or range around the value obtained, frequently 95%, contains the true value of a population parameter (in this case, the population mean).
It is one way to extract information from a population using a sample of it. This kind of information is what inference statistic is always looking for.
An <u>approximation</u> about how to construct this interval or range:
- Select a random sample.
- For the specific case of a <em>mean</em>, you need to calculate the mean of the <em>sample </em>(sample mean), and, if standard deviation is unknown or not mentioned, also calculate the sample standard deviation.
- With this information, and acknowledged that these values follows a standard normal distribution (a normal distribution with mean 0 and a standard deviation of 1), represented by random variable Z, one can use all this information to calculate a <em>confidence interval for the mean</em>, with a certain confidence previously choosen (for example, 95%), that the population mean must be in this interval or <em>range around this sample mean.</em>