The final exam is designed to test your understanding of statistical procedures. This includes some of the typical questions and topics covered. The correlation is only due to accidents of sampling or chance, but not true in the general population, To develop a formula for making predictions about the DV based on observed values of the IV, A regression where there is one predictor and one outcome, Adding more than 1 predictor to a regression helps (INCREASE / DECREASE) predictive validity, Explain the relationship between correlation and regression, Without correlation between 2 variables, you can't make a prediction, State the main difference between correlation and regression, correlation focuses on degree of scatter, regression focuses on slope, State the most basic regression equation and explain each part, T or F: the regression line must run through the point that represents the intersection of x and y. The actual exam will be much shorter. Math 17: Intro Stats Final Exam December 19, 2010 Directions: Before you leave, you must turn in both this exam sheet and any statistical tables. 0000004739 00000 n
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Learn vocabulary, terms, and more with flashcards, games, and other study tools. EXAM I Formula Sheet ... =FINAL… What does the a stand for in the regression equation, What does the b stand for in the regression equation, How much change we get in Y from 1 unit change in X. Studying STAT 1040 Intro To Statistics (Ql) at Utah State University? Surveying Statistical Confidence Intervals. Studying Math 215 Introduction to Statistics at Athabasca University? The time taken to complete a statistics final by all students is normally distributed with a mean of 120 minutes and a standard deviation of 10 minutes. 2. 0000003121 00000 n
2 Hint: express the number of people who get their own hat as a sum of random variables whose expected value is easy to compute. Pearson's correlation coefficient b/ it gives you a scale-independent measure of association rather than a measure that can only be interpreted based on its scale as is with covariance, The proportion of the common variance shared by the 2 variable, Explain the coefficient of nondetermination, Proportion of variance in one variable that is not explained by the other, List the 3 assumptions of the linear correlation, 1. In regression, what is the error prediction? Consider the data set. Which part of the SPSS regression output tells you which predictor in the formula is the strongest? When 2 variables are too highly correlated. All the parametric tests we've learned in this course have taken generally which form? Your Final Exam will NOT have any multiple choice!) Statistics 100 Sample Final Questions (Note: These are mostly multiple choice, for extra practice.
Why are outliers a problem in regression? STAT 200: Introduction to Statistics Final Examination Answers This is an open-book exam. You must complete the exam individually. Access study documents, get answers to your study questions, and connect with real tutors for STATS 01:960:285 : INTRO TO STATISTICS FOR BUSINESS at Rutgers University. 18.05 Final Exam. Documents. How do you find degrees of freedom in the chi-square goodness of fit test? How do the three following concepts all relate? The following data show the number of hours worked by 200 statistics students. Lectures. Home Professor Friedman's Intro to Statistics Course. 0000029105 00000 n
When we know there's a statistically significant difference on an ANOVA, but are not sure between which groups what do we do? A rejection when there is not really a difference, When there is a difference, but do not detect it. Choose from 500 different sets of final exam intro statistics flashcards on Quizlet. 0000028830 00000 n
View Sophia Intro to Statistics Final exam.docx from STATS 1001 at Riverland Community College. I am currently enrolled in a Straighterline course (Intro to Statistics). A continuous random variable Xhas cdf F(x) = 8 >> < >>: a for x 0, x2 for 0

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