In the Expression $\operatorname { Pr } \left( Y = 1 \mid = \boldsymbol { \Phi } \left( \beta _ { 0 } + \beta _ { 1 } X \right) \right.$

question 20

Multiple Choice

In the expression $\operatorname { Pr } \left( Y = 1 \mid = \boldsymbol { \Phi } \left( \beta _ { 0 } + \beta _ { 1 } X \right) \right.$

• A) \(\left( \beta _ { 0 } + \beta _ { 1 } X \right)\) plays the role of z in the cumulative standard normal distribution function.
• B) \(\beta _ { 1 }\) cannot be negative since probabilities have to lie between 0 and 1 .
• C) \(\beta _ { 0 }\) cannot be negative since probabilities have to lie between 0 and 1 .
• D) \(\left( \beta _ { 0 } + \beta _ { 1 } X \right) > 0\) since probabilities have to lie between 0 and 1 .

Recognize the significance of audience targeting and message crafting in successful PR campaigns.

Analyze the role of digital platforms and social media in amplifying the message of advocacy and grassroots movements.

Understand the employment landscape and opportunities within the non-profit public relations sector.

Acknowledge the role of public relations in fostering collaborations, partnerships, and networking for non-profits.

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Definitions:

Standard Normal Distribution

A normal distribution with a mean of 0 and a standard deviation of 1, used in z-score calculations to determine probabilities.

Normal Distribution

A statistical distribution which is evenly spread around the mean, indicating that occurrences close to the mean are more common than those further away.

Frequency Distributions

Showcases how often each different value in a set of data occurs.

Normal Distributions

A distribution that resembles the shape of a bell, symmetrically centered around the average, indicating that values close to the mean are more commonly observed than those further away from the mean.