Suppose you’re in a class of 35 students. The instructor takes a simple random sample of seven students and observes their heights. Imagine all of the different samples possible. Let X denote the tallest height in the sample. The distribution of all values taken by X in all possible samples of seven students selected from the 35 students in your class is: the standard deviation of values. the sampling distribution of X . the parameter. the probability that X is obtained.

The distribution of all values of X is the sampling distribution of X.

Step-by-step explanation:

The sampling distribution of a statistic is the probability distribution computed through a large number of samples taken from a specific population.

For example, the sampling distribution of mean is the probability distribution of sample mean, were the sample means are computed from various samples taken from a specific population.

In this case a class of 35 students is divided into samples of 7.

Each sample is considered and the heights of the 7 students are noted.

The random variable X is defined as the tallest height.

The distribution of all values of X is the sampling distribution of X.

when rotating a figure 180 degrees, imagine that you are able to take the figure and turn it clockwise or counterclockwise around a center point. to rotate a figure 180 degrees, you will need to apply the rule (x, y) → (-x, -y). start by using a coordinate grid with coordinates for each vertex of the figure. the center point of the coordinate grid is located at (0, 0), which is what you will rotate the figure around. write down the original coordinates of the shape you are going to rotate. then, apply the rule. for example, coordinate (1, 2) becomes (-1, -2). another example would be, coordinate (-4, -2) becoming (4, 2). after you change each original coordinate to the rotated coordinate, you will draw your new figure.

step-by-step explanation:

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step-by-step explanation: