• Email: [email protected]
• Phone: (888) 889-2840

Additional Cost: $0.0

Additional Cost Description: none

By the end of this course, you will be able to do the following:*Explore an overview of intervals, significance, inference and various applications*Consider the definition of a binomial setting, and use the binomial calculations to solve problems. Examine binomialsettings involving at least, at most, and between. Explore your graphing calculator to do binomial problems.*Consider the normal approximation to the binomial distribution. Explore the cumbersome nature of calculating binomialprobabilities exactly. Look at continuity correction.*Look at geometric distributions. These are skewed distributions modeling the probability of getting doubles before acertain roll of dice, or the average waiting-time to get a certain answer to a polling question.*Go over sampling distributions and the sampling distribution of a sample mean. Study the mean and standard deviationof the sampling distribution of the mean. Explore the Central Limit Theorem.*Look at the derivation of the mean and standard deviation of a sample proportion, based on the binomial.*Consider how to estimate the mean of a population using a sample. Examine confidence intervals and the general formof a confidence interval. Find critical z-values for various confidence levels by using tables and the graphing calculator'sInvNorm function.*Explore the concepts of statistical significance and significance levels. Consider what it means to say that a finding isdifferent enough from what was expected that we can reject it as chance variation.*Look at the hypothesis-testing procedure and null and alternative hypotheses. Consider one- and two-sidedhypotheses, and how to compute a P-value.*Consider the relationship between two-tailed significance tests and confidence intervals. See examples of how aconfidence interval for means can solve a two-tailed significance test for means.*Look at two types of errors in hypothesis testing. Consider several concepts, including the power of a test, therelationship between significance level and a Type I error, and the relationship between power and a Type II error.*Examine what to do when you don't know the population standard deviation. Look at the important assumptionsnecessary to use the t distribution and notice how to use the t tables and a graphing calculator for the t distribution.*Create 90%, 95%, and 99% confidence t intervals for means. Practice doing this using your graphing calculator*Look at when data should and should not be analyzed as a matched-pairs situation. Explore the hypothesis-testingprocedures and t intervals for matched-pairs data.*Use t intervals for two independent samples, and compute degrees of freedom using the conservative method, thesoftware method, and pooled variances.*Look at how to do significance testing for the difference of two independent samples. Compare different methods forcomputing degrees of freedom, including the conservative method, pooling variances, and software.*Create 90%, 95%, and 99% z-intervals for problems using the formula and table or the InvNorm function on yourgraphing calculator.*Examine one- and two-tailed significance-testing problems.*Look at confidence intervals and significance testing for the difference between two proportions. Compare differencesin computation of standard error. Study how to use your graphing calculator to test for a difference between twoproportions.*Explore inference for univariate categorical data. Look at the chi-square statistic and the chi-square distribution, how touse them to test whether data fit expected values, and the assumptions needed to use the chi-square statistic.*Use the lists on your graphing calculator to compute a chi-square value for goodness-of-fit.*Study inference for bivariate categorical data in two-way tables. Look at the chi-square test for association orindependence and the assumptions needed to use the test.*Explore the linear regression line for a sample as an estimator of the least-square line for a population. Study and usethe standard error of the slope, and the t test for the slope of a regression line.*Practice doing a t test on your graphing calculator for the slope of the regression line. Look at how to read MINITABoutput for regression.*Study how to assess where you are in your preparations for the Exam, and plan how to best prepare based on your selfassessment.*Take note of some things to think about on the Exam. Apply some final preparation suggestions.

Unit 1: Binomials and Distributions Unit 2: Introduction to Inference Unit 3: t Distribution for Means Unit 4: Inference for Proportions Unit 5: Inference for Tables and Least-Squares Unit 6:Final Preparation for the AP Statistics Exam

Teachers are expected to answer questions, grade assignments, and provide feedback to students within 24 hours. Almost all questions will be answered within a few hours, but 24 hours should be the maximum response time. Additionally, teachers are required to check email from students once over the weekend. Teachers will also make phone calls or send text messages to students to help facilitate successful completion of the course. Students and parents are expected to respond when teachers contact them with questions or concerns.

https://cdn.app.edmentum.com/EdAssets/9bf647e7831948a08530c43f8b1ba0ae