A. The approximate y intercept appears to be about 1.8 (slightly less than 2). What this tells us is that someone with 0 months of practice could expect to win around 1.8 games.

B. Using slope intercept form and assuming that the y intercept is at (0, 1.8), the equation can be solved for by finding the slope first and then putting the slope and the y intercept into the equation.

Slope (m):
points (0, 1.8) and (1, 3.0)
(Y2-y1)/(x2-x1)=(3.0-1.8)/(1-0)=1.2/1=1.2

Equation:
Y=mx+b
Y=1.2x+1.8

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sume that the change in daily closing prices for stocks on the New York Stock Exchange is a random variable that is normally dis

Darina [25.2K]

Answer:

0.1131 = 11.31% probability that a randomly selected stock will close up $0.75 or more.

Step-by-step explanation:

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the z-score of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Normally distributed with a mean of $0.35 and a standard deviation of $0.33.

This means that $\mu = 0.35, \sigma = 0.33$ .