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Intro stats question?

For the following data the value of SSE = 0.4130.

y. x dependent variable. independent variable 15. 4 17. 6 23. 2 17. 4

The y intercept is

Intro stats question. - Yahoo! Answers. Best Answer: Ho: mew=150 ft Ha: mew< 150 ft z = (138 - 150)/(15/sqrt(100)) = -8 a z score of -8 gives you a p value of basically zero you have strong

Intro to Stats Question 29 - YouTube. For the following data the value of SSE = 0.4130. y. …. x dependent variable..… independent variable 15..… 4 17..… 6 23..… 2

Yahoo! Answers - Intro to stats question help?. Intro to Stats Review Exam 1 Sign in with your YouTube Account (YouTube, Google+, Gmail, Orkut, Picasa, or Chrome) to add David Liew 's video to your

Intro Stats Technology Update, 3e. Best Answer: yes P (134.0604 < x < 141.9396 ) = P (-2.6264 < z < 2.6264 ) = 99% C.I. d.f. = 99

Practice Questions for Business Statistics - Georgia. Intro Stats Technology Update, 3e [Skip Navigation] Welcome: Data Sets: Student Supplements [Skip Breadcrumb Navigation] Home: Intro Stats Technology Update Intro Stats (9780201709100): Richard D.. From any chapter's list of question teasers, Practice Questions for Business Statistics. Return to Introduction page. Chapter: Descriptive Statistics I:

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MAT167 Introduction to Statistics

MAT167 Introduction to Statistics

An introduction to statistics. Includes sampling, data display, measures of central tendency, variability, and position; random variables, probability, probability distributions; sampling distributions, assessing normality, confidence intervals, hypothesis testing, ANOVA, and regression. Use of the statistics software R is taught throughout the course.


Final grades have been posted. The solutions to the final exam are now on the website. Have a good summer and thanks for all your hard work this semester. –Anthony

Course Info
  • Spring 2009: section 22684, 3 credit hours.
  • 9:10 am - 10:25 am Tuesday & Thursday, Santa Rita A102, Jan 20 through May 19 2009, West Campus, Pima Community College.
  • Syllabus
Instructor Info Exam Dates
  • Feb 24: MIDTERM I
  • April 16: MIDTERM II
  • May 19: Final Exam Ch 1-12 (2 hours)
Resources Quick Reference Sheet: R Statistics Software Using R on Campus: R is on a few computers in the Academic Commons Computer Lab (2nd floor Santa Catalina building). Just go into the computer lab and ask Jody or Dennis (one of the lab managers) where the computers are. Printers are also available in this lab. To install R: Visit the R Resources page. Basic R usage and examples: R Basics page R Data Sets:
  • Triola Book Data Page
  • Class Survey Data Page
  • See quick reference sheet or R intro lecture for info on how to use the data sets. Technical Notes On R: When you start a new problem, it’s best to delete all the variables to ensure you don’t accidentally use old data, just type rm(list=ls()). Note that you will need to reload the book data if you need it. When you close R, you do not need to save the workspace if it asks. Saving the workspace just saves the variables you have defined. Solutions / Exams Lectures and Homework

    All homework is due at the beginning of class on Tuesday. Thus, homework assigned on Tuesday and Thursday is due at the beginning of class on the following Tuesday.

    Introductory Material. (Sections 1.1-1.4)

    In Class Survey: Sexual Partners Survey (encrypted connection) (Do not submit this until instructed to do so.)

    Special Home Work Complete within 24 hours :

    Home Work (Due next Tuesday)

    1. CRITICAL C: Return syllabus student contract signed (last page).
    2. Sec 1.2: odds 1-25, 26
    3. Sec 1.3: every other odd 1-17, odds 21-27
    4. Sec 1.4: odds 1-29
    5. If you plan on using your own computer for homework, try to install R on it using these installation instructions. If you have problems getting it to install, email me. If you don’t have a home computer, you can use R in the academic computer commons on campus.
  • Summarizing & graphing data. (Sections 2.1-2.4)

    • From this point forward if the book has the TI symbol next to a problem, use R to do it.
    • As always, make sure to include your plots made with R in the HW.
    • If you get stuck using R take a look at these R examples.
    1. Sec 2.2: 1-17 odds (do 17 by hand)

      Additional Problem for 2.3: Use R to make two histograms: one of the male heights and of the female heights in the Appendix B Data Set 1 ( Mhealth and Fhealth tables in R). Include both of the histograms in your HW. Then write a paragraph discussing the differences between the male and female heights that you can see from the histograms (ie. center, variation, shape, outliers, min, max). Do either of the histograms have a distribution that is approximately normal?

      HINTS: If you are having trouble getting the book data, see the R intro lecture or look at the back of the quick reference sheet. See the top part of this page to download the data sets.

      Sec 2.4: 1-4, 9 (use R), 13 (just sketch by hand), 17 (use R), 19 (use R)

      Hint for 19: to make a plot with Both lines and points rather than a scatter plot use the optional argument type="b" for the plot function. ex. plot(t, y, type="b"). The time vector t goes from 1990 to 2000. A quick way to make t is to use this shortcut: t=1990:2000 .

      Homework: (If you need more explanation and practice with summation notation: see this page )

      Measures of center. (Sections 3.1-3.2)

      Sec 3.2: 1-9 odds, 13, 15, 21, 23, 25, 29 (Use R if the problem has TI by it from now on.)

      Hint for 21: to get the first set of differences use:

      You can find the second set of differences in the same way once you figure out the correct column name. (I admit the author’s column names are not that good).

      Hint for 23: to get the pennies for before 1983:

      To find the post 1983 pennies use the same method but take a look at the Coins table to see what they are called and then modify the above statement.

      Hint on 29 b: mean(x, trim=0.10)

      Measures of variation. (Sections 3.3)

      Relative standing and exploratory data analysis. (Sections 3.4-3.5)

      Sec 3.4: 1, 5, 7, 9, 11, 13-27 odds

      Additional problem: Use the following code to make two boxplots for comparing gender against bear weight and length. Then use the boxplots to discuss and compare the distribution of lengths and weights of bears in terms of their gender. (Make sure the book data is loaded into R first)

      Descriptive Statistics: Case Study.

      Probability I: Addition rule. (Sections 4.1-4.3)

  • EDRM611: Statistics Intro Lesson 1 Homework

    Homework for Statistics Lesson 1
    1. The Hinkle textbook on pages 1 and 2 gives at least three meanings for the word statistics. What are they? Which one correlates with the meaning of statistic given on page 12?
  • Use summation notation to express the average of: 1, 1, 2, 4, 7.

  • The additional answer given for the Hinkle textbook chapter 1 exercises 6c, 6d, and 7c are not explained in the textbook. Are they correct? Why or why not.

  • What might the mnemonic "Please Excuse My Dear Aunt Sally" have to do with anything in this chapter?

  • At search for a dissertation by Calkins and examine the abstract. You will find a precise value given for the cesium D1 centroid frequency. How many significant digits are there in that result?

  • Consider the phrase "The data is. " Is this common usage? Is this grammatically correct?

  • The Hinkle textbook on page 9 says the letter grades for a history course are ordinal. Are they for this course?

  • The Hinkle textbook on page 10 says "Temperature is. measured on an interval scale." Is this true for Kelvin and Rankine?

  • Consider grade point averages (GPAs) which assign numeric values to certain letter grades. What level of measurement is a GPA? What does this assume about the level of measurement of the underlying letter grades?

  • Look in another statistics textbook to find out whether it uses a capital X bar or a lowercase x bar for sample mean. Be sure to indicate the textbook name and author.

  • (Bonus) The Hinkle textbook on page 11 carefully distinguishes between discrete versus continuous measurements. Is this description consistent with quantum mechanics where a particle's spin can only take on values of ±½hbar?

    • e-mail:
    • voice/mail: 269 471-6629/ BCM&S Smith Hall 106; Andrews University; Berrien Springs.
    • classroom: 269 471-6646; Smith Hall 100/FAX: 269 471-3713; MI, 49104-0140
    • home. 269 473-2572; 610 N. Main St.; Berrien Springs. MI 49103-1013
    • URL.
  • Copyright ©1998-2005, Keith G. Calkins. Revised on or after July 11, 2005.
  • Elementary Statistics with R

    Elementary Statistics with R

    Ever wonder how to finish your statistics homework real fast? Or you just want a quick way to verify your tedious calculations in your statistics class assignment. We provide an answer here by solving statistics exercises with R.

    Here, you will find statistics problems similar to those found in popular college textbooks. The R solutions are short, self-contained and requires minimal R skill. Most of them are just a few lines in length. With simple modifications, the code samples can be turned into homework answers. In additional to helping with your homework, the tutorials will give you a taste of working with statistics software in general, and it will prove invaluable in the success of your career.

    We have included separate introductory tutorials for basic R concepts. The topics are by no means comprehensive. Nevertheless, even if you are not familiar with R, you can go through just the first R Introduction page. Then go straight to the statistics tutorials, and only come back for reference as needed.

    Please find the topics you are interested in via the Site Map. If you still cannot find what you are looking for, please contact us and let us know.

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