Ch.10: Sampling Distributions: ProportionWorksheetSee all chapters
All Chapters
Ch.1: Displaying Numeric Data
Ch.2: Measures of Center and Spread
Ch.3: Probability and Rules
Ch.4: The Discrete Random Variable
Ch.5: The Binomial Random Variable
Ch.6: Types of Continuous Random Variable Distributions
Ch.7: The Standard Normal Distribution (Z-Scores)
Ch.8: Using The Z-Score
Ch.9: Sampling Distributions: Mean
Ch.10: Sampling Distributions: Proportion
Ch.11: Hypothesis Testing: Part 1
Ch.12: Hypothesis Testing: Part 2

Concept #1: Determining the Confidence Interval for a Population Proportion

Concept #2: Determining the Confidence Interval for a Population Proportion: Intro

Practice: From a sample of 1,000 women, ages 18+, it was found that 700 consider themselves a ?Belieber.?Find the margin of error that corresponds to a 95% confidence interval for the proportion of women who love Justin Bieber.

Practice: Referring to Practice 1, construct a 90% confidence interval for the proportion of women who do not enjoy Justin Bieber.

Practice: Apple conducted a survey to see what percent of people preferred the iPhone over all other types of smart phones. They found that 62% of the 100 sampled individuals preferred the iPhone. Construct a 99% confidence interval for the proportion of individuals who prefer the iPhone.

Practice: Referring to Practice 3, construct a 92% confidence interval for the proportion of individuals who prefer the iPhone over all other smartphones.

Practice: Referring to the results from Practice 3 and 4, why are these two confidence intervals different, even if they are based on the same sample information (the 100 people Apple surveyed).