Confidence Interval Homework Help Resources

Students find the confidence interval for a population proportion by first finding the critical value and the margin of error. They find confidence intervals for real-life scenarios and use those intervals to make a judgment about a claim. Finally, they use two formulas for finding the required sample size for a survey, given a confidence interval and margin of error. The first formula assumes no estimate of the sample proportion, while the second one does.

Students will be introduce to hypothesis testing. Students are given the number of pieces by color in a bag of candy. They are asked if they think the bag could have come from a manufacturing process designed to produce equal proportions of each color. They will then use a chi-square test for goodness-of-fit to determine if there is a significant difference between the proportions they find in the sample and those they would expect if the manufacturer produced equal proportions of each color.

Students study the characteristics of the F distribution and discuss why the distribution is not symmetric (skewed right) and only has positive values. Students then use the Fcdf command to find probabilities and to confirm percentiles. They move on to find critical values and then compute a confidence interval.

In this activity, students will estimate the true mean of a population when the standard deviation is known by finding the sample mean, margin of error and confidence interval. They will also use the "z Interval" command to confirm the intervals.

Students use confidence intervals to estimate the difference of two population proportions. First they find the intervals by calculating the critical value and the margin of error. Then, they use the 2-propZInterval command. Students find confidence intervals for differences in proportions in real-life situations and use them to make judgments about certain claims. Last, they determine required sample size, n, when given a confidence interval and margin of error.