### Evaluating Limits Using Graphs of Functions The graphs of functions \( f \) and \( g \) are given below. Use these graphs to evaluate each limit, if it exists. If an answer does not exist, enter DNE (Does Not Exist). #### Graph Descriptions **Graph 1** (left): Plot of \( y = f(x) \) - The function \( f(x) \) is represented by a blue curve. - At \( x = 1 \), there is a hole in the graph. - The graph generally follows a downward parabola around \( x = 1 \). **Graph 2** (right): Plot of \( y = g(x) \) - The function \( g(x) \) is represented by a green curve. - At \( x = 1 \), the graph has a discontinuity where \( g(x) \) is undefined, indicated by a filled circle above and below the x-axis. - The graph shows increasing and then decreasing behavior with significant features at \( x = 1 \). #### Limits to Evaluate \[ \text{(a) } \lim_{x \to 2} [f(x) + g(x)] \] \[ \text{Answer: } \] \[ \text{(b) } \lim_{x \to 0} [f(x) - g(x)] \] \[ \text{Answer: } \] \[ \text{(c) } \lim_{x \to 1} [f(x) g(x)] \] \[ \text{Answer: } \] \[ \text{(d) } \lim_{x \to 3} \frac{f(x)}{g(x)} \] \[ \text{Answer:} \] \[ \text{(e) } \lim_{x \to 2} [x^2 f(x)] \] \[ \text{Answer:} \] \[ \text{(f) } f(-1) + \lim_{x \to -1} g(x) \] \[ \text{Answer:} \] Evaluate these limits using the graphs provided to analyze the behavior of the functions \( f(x) \) and \( g(x) \) around the specified points.
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
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