| last edited by 16 years, 6 months ago : t-distribution t-table degrees of freedom- one-sample t-interval-hypothesis test that finds the population mean one-sample t-test- : T-Interval- first go to STATPLOT to create a histogram of the data, then go to the STATTESTS menu and select (8) Tinterval. Inpt: Data, List: whatever list you plugged the data in (L1). T-test- go to the STAT TESTS menu and choose 2: T-TEST. tcdf (leftend, rightend, df) go to distribution and number five is tcdf. to find a t-value greater than 1.645, you must put in a degree of freedom. so if you use twelve degrees of freedom it would be tcdf(1.645,99,12) 1. What is the standard deviation of the sample mean ? t=(measured value-mean)/ (standard error of the measured value) the symbol for the standard deviation of the sample is "s" 2. What is the standard error of the sample mean ? s / square root(n) 3. Describe the similarities between a standard normal distribution and a t distribution. they are both unimodal, symmetric, and bell shaped 4. Describe the differences between a standard normal distribution and a t distribution. t-models with few degrees of freedom have fatter tails than normal models. If a t-model has infinite degrees of freedom then it is exactly a Normal model. However, then you would need an infinite number of data values and that isn't practical. 5. How do you calculate the degrees of freedom for a t distribution? 6. What happens to the t distribution as the degrees of freedom increase? 7. How would you construct a level C confidence interval for if is unknown? 8. The z-Table gives the area under the standard normal curve to the left of z. What does the t-Table give? 9. Samples from normal distributions have very few outliers. If your data contains outliers, what does this suggest? It suggests that the normal model will not work. If there are outliers in the data, you might want to set them aside and after they are singled out, you should look at them carefully. Sometimes, it is obvious when a data value is wrong and the justifiaction for removing themare clear. When there is no justification, you might wnat to run the analysis both with and without the outliers and note any differences. 10. If the size of the SRS is less than 15, when can we use t procedures on the data? For very small samples less than 15, the data should follow a normal model pretty closely. I fthere are outliers or skewness, you should not use these methods. 11. If the size of the SRS is between 15 and 40, when can we use t procedures on the data? the t methods will work well as long as he dara are unimodal and symmetric. MAke a histogram 12. If the size of the SRS is at least 40, when can we use t procedures on the data? t procedures are safe to use even when data are skewed. if there are outliers, remove them and report results without them. if there are more than one modes, consider each one separately. IMPORTANT: A correct way to interpret a mean's __% confidence level. Based on this sample , we can say, with __% confidence, that the mean ______ is between __ and __. back to Home Page | | Insert links to other pages or uploaded files. Loading... To turn text into a link, highlight the text, then click on a page or file from the list above. |  Comments ( 0 )You don't have permission to comment on this page. PBworks / Help Terms of use / Privacy policy / GDPR About this workspace Contact the owner / RSS feed / This workspace is public Join this workspaceAlready have an account? Log in ! Recent Activity - AP Statistics Syllabus
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Question: AP Statistics - Investigative Task Chapter 23 SAT Performance This is the first of two related Tasks. In these Tasks you will investigate four questions about students' SAT scores at one high school. 1. What is the mean SAT-Math score at this high school? 2. How do these students' SAT Math scores stack up against the rest of the state? 3. Is there a I'm having a ton of trouble with this Investigative Task. I was able to get my sample but I don't know what to do next here. This chapter is about the Inference of Means. I don't necessarily need answers but more of like steps on what to do and how to do them. Thanks a ton :)) Not the question you’re looking for?Post any question and get expert help quickly. | 
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386 Part VI Learning About the World Chapter 23 - Inferences About Means 1. t-models, part I. a) 1.74 b) 2.37 c) 0.0524 d) 0.0889 2. t-models, part II. a) 2.37 b) 2.63 c) 0.9829 d) 0.0381 3. t-models, part III. As the number of degrees of freedom increases, the shape and center of t-models do not change. The spread of t-models decreases as the number of degrees of freedom increases,
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AP Stats - Chapter 23. t-distribution a family of distributions indexed by their degrees of freedom, the t models are unimodal, symmetric, and bell shaped, but generally have fatter tails and a narrower center than the Normal Model. As the defress of freedom increase, t distributions approch the normal Model. one-sample t-test- hypothesis test ...
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AP Statistics Answers. Unit 1 Answers. Homework Unit 1 - 1st part; Homework Unit 1 - 2nd part ... Unit 2 Homework - Part 2; Unit 2 Homework - Part 3; Unit 2 Homework - Part 4; Unit 3 Answers. Chapter 5, Section 1; Chapter 5, Section 2; Chapter 5, Section 3; Chapter 5 answers; Unit 4 Answers. Go to google classroom; Unit 5 Answers ...
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Statistics and Probability; Statistics and Probability questions and answers; AP Statistics - Investigative Task Chapter 23 SAT Performance This is the first of two related Tasks. In these Tasks you will investigate four questions about students' SAT scores at one high school. 1. What is the mean SAT-Math score at this high school? 2.
23 AP® Statistics 2023 Free-Response Questions. Table entry for p and. C is the point t* with probability p lying above it and probability C lying between t* and t*. Probability p. t*.
Samples and Populations. 20 terms. ME1281. Preview. Biostat. Teacher 48 terms. superdenta. Preview. Study with Quizlet and memorize flashcards containing terms like One-sample t-interval for the mean formula, How to choose between t-test and z-test, Degrees of freedom and more.
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