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Wednesday, September 30, 2015

When's Day? Homework

Tonight, please complete the following in your textbook:

page 124: 17, 19, 23, 25, 27c

Tomorrow in class we'll start with a stamp about the empirical rule (just like today's work and tonight's homework), and then we'll start look at some more complex problems with the Normal model! See you there!

The math we start tomorrow will be 100% reliant on the graphing calculator, so make sure you have yours!

Tuesday, September 29, 2015

Toooooooooooooosday HW

Tonight, please complete the following in your textbook:

Page 123-124: 7, 9, 13

Tomorrow in class we'll work with the Empirical (or 68/95/99.7) rule; then, on Thurs/Fri/Mon/Tues we'll look at finding Normal percentiles and cutoffs....that leaves us with a vocab test and a math test for next Weds./Thurs! (Then, after Columbus day...new unit!)

See you all in the a.m.! Enjoy your Tuesday!

Here are the book problems (I guess I feel like typing today...)

7.) Anna, a language major, took final exams in both French and Spanish and scored 83 on both. Her roommate Megan, also taking both courses, scored 77 (on French) and 95 (on Spanish). Overall, students on the French exam had a mean of 81 and a standard deviation of 5, and the Spanish scores had a mean of 74 and a standard deviation of 15.

a.) To qualify for language honors, a major must maintain an 85 average for all language courses taken. So far, which student qualifies?
b.) Which student's overall performance was better? (Calculate and compare 4 z-scores!)

9.) The Virginia Cooperative Extension reports that the mean weight of yearling Angus steers is 1152 pounds. Suppose weights of such animals can be described by a Normal model with a standard deviation of 84 pounds.

a.) How many standard deviations from the mean would a steer weighing 1000 lbs. be?
b.) Which steer is more unusual, a steer weighing 1000 lbs., or one weighing 1250 lbs.?

13.) Suppose the auctioneer in #11 sold a herd of cattle whose minimum weight was 980 lbs., median was 1140 lbs., Sx = 84 lbs, and IQR = 102 lbs. They sold for 40 cents a pound, and the auctioneer took a $20 commission on each animal. Then, for example, a steer weighing 1100 pounds would net the owner 0.40(1100) - 20 = $420. Find the min, median, Sx, and IQR of the net sale prices.

Monday, September 28, 2015

Monday HW

All math, all day, all week! Yes!

Tonight, please complete the following in your textbook:

page 123: 1, 3 (like our Fahrenheit/Celsius example) 5 (find a zscore for each, see which is further from 0), 11

Tomorrow we'll get back to our notes on chapter 6! See you there!

Remember, if you have any outstanding quizzes/tests to make up you have until Friday! On Friday, all missing "make up" becomes 0's!

Friday, September 25, 2015

Weekend HW!

I'm posting pretty early today (Friday). Scroll down to yesterday's post if you're looking for stuff about today's test.

This weekend, please complete the chapter 6 reading questions provided in class (or below).

  • Use your textbook (read it!) to answer each of the questions provided!
  • Your answers must be THOROUGH, but do not necessarily have to be in complete sentences
  • The more you read and understand, the more of a head start you'll have on our notes next week!
    • If you simply answer the questions, you will know a little bit about what's happening next week...
    • If you actually read the entire chapter, you will have a better initial understanding, which will make next week easier!
I'm looking forward to grading these tests and seeing where we're at! 

Next week is (almost) ALL MATH! I can't wait! You know I'm a huge math nerd.  :) Be ready! We learn new stuff next week, then it's time for another round of (2) tests!

If you lost yours or were absent, here's your homework!

Reading Questions: Chapter 6
Use your textbook to answer each of the questions below:
1.       What does a z-score, or standardized score, measure? (p. 103)

2.       What is the formula to calculate a z-score? Provide the formula in symbols, but also define each symbol in words. (For example, don’t just put “y.” Also, tell me what “y” represents (in words)!) (p. 103, example on p. 107)
3.       What is shifting data? (p. 105)
4.       How does shifting data affect measures of position (max, min, mean, median, etc.) and spread (range, IQR, standard deviation)?  (p. 105)
5.       What does it mean to rescale data? How does rescaling affect measures of position and spread? (p. 105-106)
6.       Calculate the z-score for a student who scored 91 on an exam, if the class had an average of 87 and a standard deviation of 1.8. (Use the step-by-step example on page 107 as a guide).
7.       To apply a Normal model what shape must our distribution be? Describe the shape in words, and provide a picture. (p. 108-109)
8.       The standard Normal model has a mean of _________ and a standard deviation of _________.  (p. 108)
9.       What does the Empirical, or 68/95/99.7 rule tell us? Explain in words (p. 109!).
10.   If a distribution is normal, what shape does a Normal probability plot show? (p. 118)
11.   Finding Normal percentiles. Look at the “Working with Normal Models” Step-by-Step example on page 113. Follow the example shown, and summarize the process. Your job is to list a step-by-step process for how this problem is solved. (p. 113)
12.   What is a statistic? (p. 122)

Thursday, September 24, 2015

TEST TOMORROW!

Study, study, study, study, study, study, study, study, study, study, study, study. And study outside! :)

Test Breakdown:
  • The test includes both open ended and 6 multiple choice questions!
    • For multiple choice, there is no partial credit
    • Read carefully! Read every multiple choice option and think about each thoroughly!
    • Write down notes/work for each multiple choice option!
    • Don't leave any multiple choice blank!
  • You have to know what you're doing to finish the test on time!
    • It's going to be tough...come in (early if you want a couple extra minutes), get seated, and start! Stay focused!
    • Do what you know first! Anything blank is incorrect!
  • Determine if a variable is quantitative or categorical (ch. 2)
  • Reading histograms...(ch. 4)
    • Find sample size, median, and describe shape
  • Determine if values are outliers (fences!) (ch. 5)
  • Calculating probabilities (like our Titanic stamp problem!) (ch. 3)
  • Describing distributions:(ch. 4 and 5)
    • Shape, outliers, center, spread (know how to describe each!)
    • Know the "appropriate summary statistics," depending on shape
  • Know how mean/median compare for different shapes (of distributions) (ch. 5)
  • Creating histograms (ch. 4)
  • Creating boxplots (both with and without the calculator) (ch. 5)
  • Comparing distributions (primarily boxplots) (ch. 4 and 5)
  • Finding an average of 2 samples (like that hw problem, p. 97, 37f)
  • Know how measures of center (mean, median, mode, midrange) and spread (range, standard deviation/variance, IQR) are affected by extreme values (ch. 5)
  • Match boxplots/histograms (ch. 4 and 5)
  • Reading graphical displays for categorical data (bar graph, relative bar graph) (ch. 3)

Wednesday, September 23, 2015

Ch. 5 Vocab Quiz tomorrow, Test Friday!

Tomorrow we have our chapter 5 vocab quiz! Here's the list of words to study. You can find most of these in the glossaries at the end of chapter 4 and/or chapter 5. Some of them also appear on old quizzes, and they're all in your notes!

  • Quantitative Displays
  • Categorical Displays
  • Center
  • Spread
  • Measures of Center
  • Measures of Spread
  • Interquartile Range (IQR) (both a definition, and the formula)
  • Range
  • Standard Deviation
  • Percentile
  • Boxplot
  • Histogram
  • Dotplot
  • Stemplot
  • Variance (standard deviation, squared)
  • Mean
  • Median
  • Know how to calculate fences to determine if a data value is an outlier
  • Skewed left/right
  • Symmetric
Also, we have a test Friday! It's a big deal! Here's a breakdown of what's on that...
  • The test includes both open ended and 6 multiple choice questions!
  • Determine if a variable is quantitative or categorical (ch. 2)
  • Reading histograms...(ch. 4)
    • Find sample size, median, and describe shape
  • Determine if values are outliers (fences!) (ch. 5)
  • Calculating probabilities (like our Titanic stamp problem!) (ch. 3)
  • Describing distributions:(ch. 4 and 5)
    • Shape, outliers, center, spread (know how to describe each!)
    • Know the "appropriate summary statistics," depending on shape
  • Know how mean/median compare for different shapes (of distributions) (ch. 5)
  • Creating histograms (ch. 4)
  • Creating boxplots (both with and without the calculator) (ch. 5)
  • Comparing distributions (primarily boxplots) (ch. 4 and 5)
  • Finding an average of 2 samples (like that hw problem, p. 97, 37f)
  • Know how measures of center (mean, median, mode, midrange) and spread (range, standard deviation/variance, IQR) are affected by extreme values (ch. 5)
  • Match boxplots/histograms (ch. 4 and 5)
  • Reading graphical displays for categorical data (bar graph, relative bar graph) (ch. 3)

Tuesday, September 22, 2015

Tuesday HW

2 Homework Assignments Due Weds:
  1. page 92: 13, 19, 23, 31
  2. Create two boxplots (self and cross-fertilized plant heights) and then compare (on the back of the "completion times" boxplots we discussed in class today).
I will be checking each of these in class, tomorrow (Wednesday)!

If you are going to the Big E you will have to make up our classwork (due by Friday); come see me in the morning so you can get it done! (If you wait until Thursday, you'll only have one night to finish everything)!

On that note, any/all make up work (quizzes, classwork, homework, etc.) MUST be turned in by FRIDAY (test day)!

Lastly, don't forget, this is a big week for our grades:
  • Thursday: Chapter 5 Vocab Quiz!
  • Friday: Chapters 2-5 test!

Monday, September 21, 2015

Monday/Tuesday HW

Great work today in your groups!

I know I posted some book problems (for Monday) this weekend, and I also added some homework today--ultimately, I need to see each of these assignments by Wednesday, you can do them in whichever order you like:

2 Homework Assignments Due Weds:
  1. page 92: 13, 19, 23, 31
  2. Create two boxplots (self and cross-fertilized plant heights) and then compare (on the back of the "completion times" boxplots we discussed in class today).
**For those of you going to the Big E on Wednesday, I'd recommend getting these both done tonight, because you will also have classwork to make up from Wednesday--be sure to get it from me tomorrow!

Tomorrow in class we will finish our chapter 5 notes with some ogives and standard deviation notes!

On Wednesday we'll do some classwork, Thursday we'll take a chapter 5 vocab quiz and then take some more notes, and on Friday it's test time! See you there!

Friday, September 18, 2015

Weekend HW: Boxplots!

This weekend, please complete the "Boxplots!" worksheet provided in class (or below).

  • Remember, you are given the data set, so you can use your calculator to help you create the boxplot....
    • However, it would be a good idea to first get the 5 number summary (1 Var Stats) and try to create the boxplot entirely by hand, first. (Then use the calc to check your answer). You will definitely have to make a boxplot on your test next week, and you may not have all the data (so you'll have to know how to do it by hand!)
    • When you describe each distribution, same as before: SOCS! And remember to use the "appropriate summary statistics" (since we have all of the data)!
--------------------------------------------------------------------------------------------------------------------------
Here's my tentative plan for next week--my plans are always subject to change :) 

Monday: Groupwork! (Matching boxplots, reading boxplots)
  • Here's Monday's homework in case you want a head start: page 92: 13, 19, 23, 31
Tuesday: Notes: (comparing boxplots, ogives)

Wednesday: Wrapup ogives, comparing boxplots; chapter 6 notes

Thursday: Chapter 5 vocab quiz, standard deviation (notes)

Friday: Test: chapters 2-5 (everything so far!)
--------------------------------------------------------------------------------------------------------------------------

Weekend Homework: Boxplots!


1.) The composition of the earth’s atmosphere may have changed over time. To try to discover the nature of the atmosphere long ago, we can examine the gas bubbles inside ancient amber. Amber is tree resin that has hardened and been trapped in rocks. The gas in bubbles within amber should be a sample of the atmosphere at the time the amber was formed. Measurements on 9 specimens of amber from the late Cretaceous era (75 to 95 million years ago) give these percents of nitrogen:
63.4, 65, 64.4, 63.3, 54.8, 64.5, 60.8, 49.1, 51

a.)  Sketch a boxplot (appropriately labeled) using the data above. Be sure to show all work.+
b.) Describe the distribution of percentage of nitrogen for 9 specimens of amber shown above—in CONTEXT!

2.) Charles Darwin, author of On the Origin of Species (1859), designed an experiment to compare the effects of cross-fertilization and self-fertilization on the size of plants. He planted pairs of very similar seedling plants, one self-fertilized and one cross-fertilized, in each of 15 pots at the same time. After a period of time, Darwin measured the heights (in inches) of all the plants. The data below show the heights for the cross-fertilized plants:
23.5, 12, 21, 22, 19.1, 21.5, 22.1, 20.4, 18.3, 21.6, 23.3, 21, 22.1, 23, 12

a.) Sketch a boxplot (appropriately labeled) using the data above. Be sure to show all work.
b. )     Describe the distribution of heights of cross fertilized plants shown above—in CONTEXT!




Thursday, September 17, 2015

Thursday HW

Tonight, please complete the 2004 (Form B) #5 Free Response question. (If you were absent or lost yours, use the link below to find a copy of the question--you can either print it, or complete your work on separate paper).
  • 2004 (Form B) #5 (Homework Question)
  • Remember, you can't use your calculator to make the boxplot because we don't have the full data set!
  • For part a, you are asked to create "parallel boxplots." This simply means that you should create two boxplots (using the steps/notes we outlined today in class, or in chapter 5) on the same axis
    • So, you should have two boxplots, one above the other, on the axis provided when you're done. Label each boxplot.
  • For part b, you have to compare the distributions
    • Compare SOCS
    • You MUST use COMPARATIVE LANGUAGE.  
      • NOT ACCEPTABLE: "The median jawbone length (in mm) for the Modern Thai Dogs is 125 and the median jaw lenght for the Golden Jackals is 108." 
      • Instead, you must compare--talk about which median is higher/lower! When you talk about spread, compare--which range/IQR is larger/smaller? 
      • When you talk about outliers, comment on them, but also compare!
  • And lastly, here is the link to the scoring rubric--see how you did! 
  • Good luck! 
Tomorrow in class we'll recap our homework responses and answer any questions, and then look at creating boxplots given a full data set--using the graphing calculator. 

Wednesday, September 16, 2015

When's Day Homework

Tonight, please complete the following in your textbook:

page 92: 17, 27, 29cd, 11ab

Tomorrow we'll make our first boxplot! I can't wait!

If you've had trouble signing up for remind:

TEXT: @ehapstat 

TO (NUMBER): 860-640-4172

Tuesday, September 15, 2015

Tuesday HW: Examining an AP Rubric

Tonight, please complete the following:

  • Your task is to use the rubrics provided for the two AP problems completed in class (passed back today) to analyze your work
  • For each problem (2007B#1 and 2011B#1) you need to read through the answers and rubric, and score yourself (E,P, or I)
    • In addition, next to each score, I expect to see an explanation/justification as to why you got that score
      • For example, if you earned an E, what did you do well/correctly? Even if you scored an E, what could you have added to strengthen your answer?
      • If you scored a P, describe what you would've needed to do (or to add) to score an "E"
      • If you scored an I, again, describe what you would need to do to earn an "E"
    • All of your written explanations/thoughts/comments should be in detail! The more deeply you think about this, the better prepared you'll be!
  • When I check homework tomorrow (I'm definitely checking...), I should see something like this...Use this structure/outline for your work...
    • 2007B #1
      • Section 1: "E." I scored an E because....I could have added......"
      • Section 2: "P." To score essentially correct, I need to also include...."
      • Section 3: 
      • Section 4:
    • 2011B#1
      • Part A: 
      • Part B:
      • Part C:
  • This is an important homework assignment! It's our first opportunity to see exactly how the AP free response questions are graded, and to see the types of answers and content we need to provide to succeed on AP free response problems!
Lastly, if you lost your answer keys/rubrics (provided in class), use the links below (we did question #1 for each year):


Monday, September 14, 2015

Monday HW!

Tonight, please complete the following in your textbook:

Page 91: 3, 5, 7, 11c, 37

  • For 3 and 11c DO NOT do the work by hand! Use your graphing calculator to find the 1VarStats!
  • For #5b, only worry about the effect on the range (we haven't learned enough about IQR or standard deviation yet) 


Tomorrow we'll continue our notes on chapter 5! See you there!

Enjoy your Monday!

Friday, September 11, 2015

Read this Post! (HW and Quiz Monday!)

We have a few things to worry about this weekend....first off, your homework:

1.) Complete the multiple choice questions we started in class. This will be collected and graded as classwork, so don't forget (and get a 0)! A few hints...
  • For #4, roman numeral II can be tricky--think about this...the median will fall directly in the middle. The mean will also be directly in the middle, unless it's pulled up or down by unusually high or low values. Are there any values that would "pull" the mean in any particular direction for this histogram?
  • For #5....here's a different example showing how you would calculate the overall mean...
    • Suppose two classes find the average heights of their students. Class 1 has 23 students and an average height of 66 inches. Class 2 has 19 students and an average height of 70 inches. 
      • To find the overall mean, we first multiply each sample size by it's mean:             (23 x 66) + (19 x 70)
      • Then, we take this sum, and divide by the total number of students (23 + 19).
2.) Describe the two histograms provided in class (or below), about Old Faithful Eruptions and Customer Service Times.
  • You MUST write in complete sentences and thoroughly describe "SOCS" AND add the "Generally..." statement we discussed today in class. Use your notes from today as a guide!
  • If your answers are short/incomplete (I see 2 sloppy sentences on your paper), you WILL NOT get credit for your homework.
3.) CHAPTER 4 VOCAB QUIZ MONDAY! (Use the glossary at the back of chapter 4 for definitions!). Here's the list:
  • Distribution (shows all possible values of a variable and the (relative) frequencies for values)
  • Skewed left/skewed right (skewed left: a distribution with most data on the right, with a few low values...skewed right you're on your own)
  • Center (I did put it on here...) (a value that summarizes a distribution with one number; "typical value")
  • Spread (a value that summarizes how data varies, or how clustered it is around the center)
  • Outlier (a data point that is separated from/falls from from the rest of our data)
  • Range (Max - Min)
  • Median (the middle number)
  • Mean (average--add all values and divide by the sample size)
  • Quantitative Displays (dotplot, boxplot, stemplot, histogram, timeplot, ogive)
  • Categorical Displays (pie chart, bar chart, frequency table)
  • Statistics for Quantitative Data (mean, median, range, IQR, standard deviation)
  • Statistics for Categorical Data (proportion/%)
  • There is also one last question that shows a histogram and asks you to describe the shape.
(Here are the histograms to describe for homework in case you lost your paper or were absent):



Thursday, September 10, 2015

Thursday HW

Tonight, you have two things for homework:

1.) Finish our description of the distribution of ticket sales (in your notes). We've written about shape and outliers, and now you have to discuss center and spread.

2.) Describe the distribution (SOCS) of test scores for the histogram you created last night (for homework).

****For both of these, when you discuss center and spread, you are expected to use the 1VarStats to find the value of mean/median and/or standard deviation/IQR/range.

***Remember, everything should be written in context--talk about ticket sales of the top 20 movies of 2008, or talk about test scores on a recent math exam--not "the data."

If you were out yesterday, you'll have to first create the test scores histogram before you describe it. Here's the context:

The values below represent 17 test scores (out of 64 total points) on a recent math exam.
60, 45, 59, 46, 60, 23, 52, 40, 59, 59, 58, 58, 28, 48, 54, 38, 54

Using intervals (x-scale) of width 5, create a histogram (appropriately labeled) using the data above.

And lastly, you will have your chapter 4 vocab quiz on Monday! Check back tomorrow/this weekend for a specific vocab list!

Tuesday, September 8, 2015

Twosday Homework

Tonight, please complete the following in your textbook:

Page 65: 3, 9, 11

**To create the stemplot for #11, be sure to round each of the data values to two decimal places (because it's $), THEN create the stemplot!

**For #3, think about "where most of the data would fall." If most of the data would be the left (low numbers), our distribution would be skewed right. If most data would fall on the right (high #'s), our distribution would be skewed left. If most of our data is in the middle (with some higher/lower values), we might expect our data to be uniform. And we expect our data to be evenly spread across all numbers, the distribution would be uniform.

Tomorrow in class we will continue to take notes on "describing distributions," and hopefully finish. Then, on Thursday we can try to squeeze in some more in-class examples, and on Friday we'll try for a chapter 4 quiz....at least that's the plan for now!

Have a great Tuesday! See you all tomorrow!

Friday, September 4, 2015

3 Day Weekend = Take Home Quiz!

This weekend, be sure to complete your take home quiz (due Tuesday)! If you lost yours (or want an electronic copy), you can find it under our "Classroom Resources" link entitled, "Labor Day Take Home Quiz."

Period D: STAR Tuesday in the Career Center! (take home quiz is still due!)

A few thoughts on your quiz...

  • The first part deals with chapter 3, which we did not cover in class: use your book as a resource and "figure it out" if you have questions!
    • Bar Charts: page 23
    • Practice probability questions (the "just checking" questions): page 28, answers on p. 44
    • Frequency tables: p. 21-22
    • Pie charts: p. 23-24
  • The next part covers histograms, just as we have in class:
    • Use your calculator to create the histogram! (yellow box on p. 54; ignore the last paragraph)
      • Remember to set the window (instead of using ZoomStat!)
      • Explore the "Using Your Graphing Calculator" link on the right! (or Google how to make histograms on a TI83/84!)
    • Be sure your sentences to describe the distribution are in context!
      • Again, I'm looking for two general statements about what you see in the data--don't worry about language like "skewed, symmetric, etc." yet.
    • Use your stamp problem (from yesterday) to help with the #3 on the back!
Good luck! Have an awesome 3 day weekend! Do your quiz outside, it's going to be beautiful out there!

See you all Tuesday for some STATS, STATS, STATS, STATS!




Thursday, September 3, 2015

Thursday HW

Tonight, please complete the "Quantitative Data Displays" worksheet provided in class (or below if you were out).

  • Use your graphing calculator to make the histogram! Practice!
  • In #3, to find the one variable statistics, you'll need to look up how:
    • Look at the yellow box on page 86, OR
    • Look at the back page of your summer assignment: this was the same question, and lists the steps/buttons to press, OR
    • Click on the "Using Your Graphing Calculator" link on the right, and under "Working With Univariate Data" choose "Finding One Variable Statistics for a list of data."
Tomorrow I WILL check your homework!

Periods A and E have STAR tomorrow, and period E has it Tuesday--here's the schedule and where to go:

Period A: Library tomorrow (Friday)

Period D: Career Center (Tuesday)

Period E: Room 132 tomorrow (Friday)

Here's tonight's homework: Quantitative Data Displays


The following data shows the median age of residents in each of the states in New England and down the East Coast:
39.5, 38.4, 35.1, 40, 34.7, 42.2, 37.7, 39, 40.4, 38.8, 38.1, 36.9, 39.2, 37.6, 41.2, 36.9

1.)    Create a well-labeled dotplot for the data above. (xmin = 34, xmax = 42, xscl = 1)

2.)    Create a well-labeled stemplot for the data above.

3.)    Generate the 1 Variable Statistics for this data using your graphing calculator.
Mean
Standard Deviation

Minimum
Q1 (First Quartile)
Median
Q3 (Third Quartile)
Maximum

Range











4.)    On the back of the paper, create a well-labeled histogram for the data above. (xmin = 34, xmax = 42, xscl = 2)

Wednesday, September 2, 2015

Wed nes day HW/Quiz Tomorrow

Tonight, please complete the histogram worksheet provided in class (about Wayne Gretzky). If you lost yours or were absent, you can find the context below.

  • Be sure to "count by 5's" on your x-axis!
  • For the bottom, I need you to write at least 3 sentences describing what the graph shows us about the number of games Gretzky played (context!)
    • We will share out and discuss this writing in class! 
In addition, tomorrow we have our first vocab quiz! Be ready! Here's a breakdown of what's on it. (The quiz is 8 multiple choice questions). 
  • Quantitative Variable (a variable that measures some quantity, with units)
  • Categorical Variable (a variable that separates data into categories/groups)
  • Data (systematically recorded information (numbers/categories), with context)
  • Relative (use %'s in the graph!)
  • Which statistics are used for quantitative data? (mean, median, range, standard deviation, IQR)
  • Which statistic is used for categorical data? (proportion/%)
  • Which graphical displays are for categorical data? (pie chart, (relative) bar graph, (relative) frequency table)
  • Which graphical displays are for quantitative data? (dotplot, boxplot, histogram, ogive, timeplot, stemplot)
See you all tomorrow for some more calculator and histogram stuff!

Wednesday HW: Histogram Practice
During his 20 seasons in the NHL, Wayne Gretzky scored 50% more points than anyone who ever played professional hockey. He accomplished this amazing feat while playing in 280 fewer games than Gordie Howe, the previous record holder. Here are the number of games Gretzky played during each season:

79, 80, 80, 80, 74, 80, 80, 79, 64, 78, 73, 78, 74, 45, 81, 48, 80, 82, 82, 70

Using intervals (x-scale) of width 5, create a histogram (appropriately labeled) using the data above. 

Describe the distribution of “number of games played. "Be sure to write neatly, in complete sentences, and in CONTEXT! (@ least 3 sentences)

Tuesday, September 1, 2015

I MESSED UP THE STAR SCHEDULE! READ!!!!

Period A: Context quiz tomorrow, vocab quiz Thursday (STAR Friday)

Period D: Class tomorrow, Vocab quiz will still be Thursday (STAR is next week)

Period E: STAR tomorrow (Career Center), vocab quiz Thursday (sorry about that!)


Tonight, please complete the following in your textbook: 

Page 65: 17, 19, 31 (And be sure to check your answers in the back of the book!)

  • ***YOU CANNOT DO #3 YET! SORRY ABOUT THAT--JUST DO THE 3 PROBLEMS ABOVE!***
  • When you are asked to "Describe a Distribution," you need to write a couple sentences describing what you see in the graph! For example, in #19, look at your dotplot--write a couple sentences talking about the numbers of hurricanes in different years! What does the graph tell us?

Here you go: this is what's on our chapter 2 vocab quiz:
  • (The quiz is 8 multiple choice questions). 
  • Quantitative Variable
  • Categorical Variable
  • Data
  • Relative (use %'s in the graph!)
  • Which statistics are used for quantitative data?
  • Which statistic is used for categorical data?
  • Which graphical displays are for categorical data?
  • Which graphical displays are for quantitative data?