http://goo.gl/Y1lku

Surveys Says!

To get to know you...

http://goo.gl/2PWDQ

To gather data for in class assignments...

http://goo.gl/fYrRQ

What is the sample size needed to create a 95% confidence interval with 2% margin of error?

Flashcards for review

Here is a set of online flashcards I found.

http://quizlet.com/267049/ap-statistics-flash-cards/

Ch 27 Finding the C.I. for a predicted value

This should be helpful with question 8 on math xl.

Sorry the program I used did not allow for embedding this video.

Calculating S.E.(b1)

I hope this helps

Chi-Squared

You may have seen this before when studying genetics.

Here is a site that shows how the chi-squared test is used in science.

There are Three different Chi-squared tests that you need to know.

• Goodness of fit
• Test for homogeneity
• Test for independence

Missing Table from problem 1 on Ch 25 Packet.

Ch 24 Guiding Questions - Comparing Means

1. What graphical display should you start with when comparing means?

2. How do you find the standard error of the difference of two means?

3. How is finding a confidence interval for the difference of means similar to finding any confidence interval we have already studied?

4. What assumptions and conditions must we check?

5. How should you determine degrees of freedom?

6. It is never wrong not to pool, what does this statement mean in regards to comparing means?

the INVT Function on your calculator

Here is a YouTube video on how to create a program for InvT on a TI-83 or TI-83 Plus Calculator

Stats are Everywhere, even sometimes where you least expect.

Target targets pregnancies.

Chapter 23 Guiding Questions

1) What is the central limit theorem and why is it important in statistics?

2) What is a t distribution (Student's t-model)? What does a t distribution look like?

3) Why do we use a t-distribution for means instead of z?

4) What is a "degree of freedom" and why is this important with t-distributions?

5) How do you find a probability for a t-distribution in your calculator (Hint: for proportions we used normalcdf)?

6) How do you find a t critical value in the calculator?

7) What assumptions and conditions need to be met before we can use a t-model to run a hypothesis test or a confidence interval?

8) What should your conclusion be when interpreting a confidence interval for a t-distribution (give an example)?

9) What formula do you use when trying to figure out the sample size for a t-distribution? How can we find the t-critical value in this formula if we don't know our sample size?

Key to Review Sheet

Stats in the news, telling what ever story sounds more interesting.

http://articles.chicagotribune.com/2012-01-18/news/ct-perspec-0118-measure-20120118_1_poverty-rate-social-security-benefits-numbers

Chapter 22 Guiding Questions

1) When running a hypothesis test for the difference between two proportions, do we use standard deviation or standard error when finding our z-score, and what is the formula to find SD or SE?

2) Name and explain the assumptions and Conditions that need to be met in order to run a hypothesis test for differences between two proportions.

3) What is the formula for finding a two-proportion z-interval?

4) What is the null hypothesis going to be (usually) in a two proportion z-test?

5) What are the options for alternative hypotheses in a two-proportion z-test?

6) What is pooling and why do we use it when working with two-proportion z-tests?

7) Do we pool for a two-proportion z-interval? Why or why not?

Ch 21 Guiding Questions

1. What is a p-value?

2. What is an alpha level? When should it be set?

3. Where did the generally accepted .05 alpha level come from?

4. What is another term for alpha level?

5. How does 1 sided and 2 sided test differ in terms of the critical values for an alpha of .05, .10, or .01.

6. What confidence interval would you use to do a two sided hypothesis at an alpha level of .02?

7. What about a one sided hypothesis test at an alpha level of .02?

8. Describe the two types of errors that we can make when completing a hypothesis test?

9. Suppose a drug company is testing a new formula for a headache medicine. The original formula reports a 80% improvement rate. In a study of the new formula 192 of 220 patients reported an improvement in their headache sypmtoms. Describe in context the "cost" of making each type of error for a hypothesis test in this situation.

10. What is the power of a test?

11. What are two ways you can increase the power of a test?

12. How can we both increase power and decrease alpha?

Ch 20 Guiding Questions

1. What is a hypothesis in statistical terms? Do we prove a hypothesis?

2. What is a null hypothesis? Alternative hypothesis?

3. What does it mean to reject the null? Do we ever accept the null?

4. How is hypothesis testing like a jury trial?

5. Describe the four main elements of the reasoning of hypothesis testing (by the way, on an AP test question, each component is worth one point, so yes you need to show work for each part).

6. Describe the differences between one-sided and two-sided alternative hypothesis.

7. What is a P-value and how is it used in hypothesis testing?

8. How do confidence intervals relate to hypothesis testing?

Chapter 19 Guiding Questions

Answer the following questions:

1) Explain what a confidence interval is.

2) What does it mean to be "95% Confident"?

3) What statement should we make when talking about confidence intervals?

4) What is a margin of error?

5) What is the formula for finding confidence intervals for sample proportions?

6) If we want to be more confident, does the margin of error need to be larger or smaller? Why?

7) What is a critical value?

8) What assumptions must be made and what conditions must be met in order to use confidence intervals for sample proportions?

Chapter 18 Guiding Questions

Your guiding questions should be submitted to either Mr. Babel or Ms. McCarthy VIA Google Docs. You need to include your name and the chapter in the title for the google doc (i.e. McCarthy Ch. 18 Questions).

1) When using a Normal Model to describe distributions of Sample Proportions, how do we find the mean and standard deviation for our model?

2) What is the difference between the symbol "p" and "p-hat"?

3) What is sampling error? What is another name for sampling error?

4) What assumptions must be made and what conditions must be met in order to use a Normal model for sample proportions? Explain each assumption and condition.

5) Why are sampling models important in statistics?

6) Proportions summarize categorical data, what can be used to summarize quantitative data?

7) What is the Central Limit Theorem?

8) When using a Normal Model to describe distributions of Sample Means, how do we find the mean and standard deviation for our model?

9) What is standard error?

10) What assumptions must be made and what conditions must be met in order to use a Normal model for sample means? Explain each assumption and condition.

11) What is the difference between the sampling distribution and the distribution of the sample?

Rossman chance applet from packet http://www.rossmanchance.com/applets/Reeses/ReesesPieces.html