This lecture from Sunday Community College covers section 3.5 of Intro to Statistics, focusing on inference for a single proportion. It explains how to design experiments, define trials, and calculate sample proportions. The lecture discusses applying normal distribution to sampling distributions, conditions for independence, and hypothesis testing. A practical example using Utah's federal land demonstrates these concepts, including calculating probabilities using GeoGebra.

What is the main topic covered in this lecture?

• Descriptive statistics

• Inference for a single proportion

• Time series analysis

• Multiple regression analysis

In an experiment, what do we call a single event that leads to an outcome?

• Experiment

• Observation

• Sample

• Trial

How do we typically label the outcome we are interested in studying?

• Neutral

• Success

• Failure

• Trial

What is the formula for calculating the sample proportion?

• Sample size divided by number of successes

• Sample size divided by number of failures

• Number of failures divided by sample size

• Number of successes divided by sample size

Why do we often apply the normal distribution framework to these situations?

• For simplicity

• For accuracy

• For complexity

• For reliability

What is the condition for the sample size in relation to the population size to verify independence?

• Sample size should be more than 10% of the population size

• Sample size should be less than or equal to 5% of the population size

• Sample size should be equal to the population size

• Sample size should be more than 5% of the population size

What do we substitute for the unknown population proportion in confidence intervals?

• Population mean

• Sample proportion

• Sample mean

• Null value

What tool is used to compute normal probabilities from z-scores?

• Spreadsheet software

• Graphing calculator

• Statistical software

• Geological probability calculator

In the example problem, what percentage of Utah is federal land?

• 54.9%

• 64.9%

• 74.9%

• 84.9%

What is the mean of the sampling distribution in the Utah example?

• 0.749

• 0.649

• 0.549

• 0.849