x = 3
-2 | 2.2(3) - 3.3 | = -6.6
-2 | 6.6 - 3.3 | = -6.6
-2 | 3.3 | = -6.6
-2 * 3.3 = -6.6
-6.6 = -6.6
Answer:
The chance of completing the entire package installation in under 12 minutes is 0.1271.
Step-by-step explanation:
We define X as a normal distribution representing the time taken in seconds to install the software. According to the Central Limit Theorem, X is approximately normal, where the mean is 15 and variance is 15, giving a standard deviation of √15 = 3.873.
To find the probability of the total installation lasting less than 12 minutes, which equals 720 seconds, each installation should average under 720/68 = 10.5882 seconds. Thus, we seek the probability that X is less than 10.5882. To do this, we will apply W, the standard deviation value of X, calculated via the formula provided.
Utilizing
, we reference the cumulative distribution function of the standard normal variable W, with values found in the attached file.

Given the symmetry of the standard normal distribution density function, we ascertain
.
Consequently, the probability that the installation process for the entire package is completed within 12 minutes is 0.1271.
To respond to this inquiry, we must assume that Eva works for 8 hours each day. If that's the case, then on the first day, Eva will complete jobs w, x, and v, amounting to six hours of work. Since job y takes 4 hours, she will only have 2 hours of work that day, leaving her with 2 hours remaining to continue on job y. The following day, she will use those 2 hours to finish job y, completing it, and also work on job z (which takes hours). Consequently, she will have tackled 4 jobs on the first day and 2 jobs on the second, resulting in an average of 3 jobs each day.
This assumption is based on an 8-hour workday and indicates that Eva can initiate jobs she can't finish within the same day.
Response:
Second option: 
Third option: 
Detailed explanation:
The missing graph has been provided.
The attached image illustrates the graphing of the following system of linear equations:

Notice the intersection of the lines.
According to the definition, if lines in a system of equations intersect, then there is only one solution. This implies that the intersection point is the solution to that system. This can be expressed as:

Represented by "x" for the x-coordinate and "y" for the y-coordinate.
Here, it's noticeable that:
- The x-coordinate of the intersection point lies between
and
.
- The y-coordinate of the intersection point is situated between
and
.
Therefore, you can conclude that the forthcoming points (Refer to the options given in the exercise) are potential approximations for this system:

To determine if there is evidence suggesting a change in average height, we can conduct a right-tailed test and formulate both null and alternative hypotheses.
H₀ (null hypothesis): μ = 162.5
H₁ (alternative hypothesis): μ > 162.5
With two samples to analyze, we can calculate the z-score using the formula provided below.

In this formula, Z symbolizes the z-score, Χ denotes the new sample mean, μ indicates the theoretical average, δ represents the standard deviation, and n signifies the sample size. Based on the gathered values,


Assuming a significance level of α = 0.05. With a z-score of 2.77, we can reference the z-table to ascertain the p-value. This yields P(Z > 2.77) =.0028. Since our p-value is below α, we reject the null hypothesis, indicating that the average height of female freshman students has indeed shifted.