Population Parameter
1 hr 11 min 12 Examples
- Introduction to Video: Sample Means and Sample Proportions
- What is the difference between a parameter and a statistic? with Example #1
- Identify the parameter and statistic for the following scenarios (Examples #2-4)
- Create a population distribution and a sampling distribution (Example #5)
- What is the difference between sampling error and non-sampling error?
- Given the sample data find the sample mean and sample standard deviation (Example #6)
- Properties of Sampling Distribution for Sample Means, Illustrations and the Central Limit Theorem
- Find the probability for an approximately normal distribution using sample means(Example #7-8)
- Properties of Sampling Distributions for Sample Proportions with Example #9
- Find the probability for an approximately normal distribution using sample proportions (Examples #10-12)
Population Proportion
59 min 7 Examples
- Introduction to Video: Confidence Intervals for Population Proportions
- What is a confidence interval? Overview, Properties, and Checklist
- How do you construct confidence intervals for one-sample proportions?
- Create a 95% confidence interval for a one-sample proportion (Example #1)
- Construct a 90% confidence interval for a one-sample proportion (Example #2)
- Find a 99% confidence interval for a one-sample proportion (Example #3)
- Choosing a sample size for the estimation of p (Examples #4-5)
- How to construct a two-sample confidence interval for population proportions?
- Construct a 95% confidence interval for two-sample population proportions (Examples #6-7)
Population Mean
1 hr 8 min 11 Examples
- Introduction to Video: Confidence Intervals for Population Means
- How do we construct confidence intervals for means when population standard deviation is known (Examples #1-2)
- How to find the sample size for a known confidence level and margin of error (Examples #3-4)
- What is the t-distribution? What are degrees of freedom?
- How do you read a t-table to create a confidence interval with Example #5
- How to find the t-value for a confidence interval (Examples #6-8)
- Construct a confidence interval for means using t-distribution (Examples #9-10)
- Create a confidence interval for mean using data set and t-table (Example #11)
Difference In Means
1 hr 11 min 7 Examples
- Introduction to Video: Two-Sample Confidence Intervals for Means
- Finding the difference of means when population standard deviation is known (Example #1)
- Understanding Matched Pair Samples for difference of means (Example #2)
- For the matched pair dataset find confidence interval for difference of means (Example #3)
- When and how do you Pool variances for two Independent Random Samples?
- Conduct a confidence interval for difference of means for non-pooled variances (Example #4)
- Conduct a confidence interval for difference of means for pooled variances (Example #5)
- Create a confidence interval for two independent samples for difference of means (Examples #6-7)
- Flowchart organizing one-sample and two-sample confidence intervals for both proportions and means
Chapter Test
1 hr 17 min 13 Practice Problems
- Identify the population, parameter, sample, and statistic (Problem #1)
- Determine the likelihood the sample is the same as the population proportion (Problem #2)
- Find the sample number given the proportion, margin of error, and confidence level (Problem #3)
- Find the probability for the proportion (Problem #4)
- Given sample data, construct a 95% confidence interval for population mean (Problem #5)
- Construct a 90%, 95% and 99% confidence interval for the given data (Problem #6)
- Create a confidence interval using exit poll data (Problem #7)
- Find a 98% confidence interval for the population mean (Problem #8)
- Construct a 95% confidence interval for difference of mean (Problem #9)
- Construct a 90% confidence interval for two-sample proportions (Problem #10)
- For a matched pair sample create a confidence interval for difference of means (Problem #11)
- Find a confidence interval for difference of means with pooled variances (Problem #12)
- Create a confidence interval for difference of means with un-pooled variances (Problem #13)
