D.) True or False? The probability that Taylor Swift complains about a boy in at least 2 songs equals the probability that Taylor Swift complains about a boy in more than 1 song?
Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
Austin decided to give Taylor Swift another chance. So, he listened through all her songs from 2009. There were 8 in total. Let the random variable X be the number of songs in which she complained about some boy. The
a.) Is X a discrete or continuous random variable? How do you know?
b.) What are the possible values of X?
c.) What is the
D.) True or False? The probability that Taylor Swift complains about a boy in at least 2 songs equals the probability that Taylor Swift complains about a boy in more than 1 song?

![## Standard Normal Distribution
**Equation:**
\[
p(z \leq z_1) = \frac{1}{\sqrt{2\pi}} \int_{-\infty}^{z_1} e^{-\frac{1}{2}z^2} \, dz
\]
This equation represents the probability that a standard normal random variable \( z \) is less than or equal to \( z_1 \).
### Diagram:
- The graph at the top is a typical bell-shaped curve, representing a standard normal distribution where the mean is 0 and the standard deviation is 1. This is symmetrical about the mean, depicting the spread of probabilities across values of \( z \).
### Standard Normal Distribution Table:
The table provides cumulative probabilities for different \( z \)-scores, which are standardized values that map a normal distribution to a standard normal distribution.
- **Columns and Rows:**
- The first column (labeled \( z_1 \)) and the first row indicates \( z \)-scores. For instance, a \( z \)-score of 0.0 is in the first row and column.
- The numbers are cumulative probabilities from the normal distribution up to the particular \( z \)-score.
- **Highlighted Values:**
- The value 0.05 is bolded for \( z = 0.0 \) and \( z = 2.0 \), showing probabilities of 0.5199 and 0.9772, respectively.
- The row for \( z = 2.1 \) is highlighted, focusing on values relevant for this \( z \)-score.
### Example Usage:
To find the probability of a \( z \)-score less than or equal to 0.56:
- Locate 0.5 in the first column.
- Move across to the column under 0.06.
- The probability is 0.7123.
This table is crucial for assessing probabilities and percentiles in a standard normal distribution, aiding in hypothesis testing and data analysis.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F6f6bd7ce-0958-48a2-a65d-e948a47e92ca%2Fc17c61f6-2bed-4542-998c-82158f608be1%2Fsrk7mw_processed.png&w=3840&q=75)

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