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Statistics 1 121 Schedule for Winter 2011 Flash MWF Lectures:
Monday, January 3 Tuesday, January 4
Schedule subject to changeplease check Blackboard daily
Thursday, January 6 Friday, January 7
Wednesday, January 5 Lesson 1: Course Syllabus Read Introduction to text and watch Introduction StatTutor video. Both are found at the top of the chapter listings on eBook. Lesson 2: 2.10* Organizing a statistical problem Ch.8 Introduction 9.1 Observation versus experiment Note: 2.10 denotes chapter 2 section 10Lesson 3: 8.1 Population vs. Sample 8.2 How to sample badly 8.3 Simple random samples 8.4 Inference about the population 8.5 Other sampling designs 8.6 Cautions about sample surveys 8.7 The Impact of Technology Wednesday, January 12 Lesson 4: Ch.9 Introduction 9.2 Subjects, factors, treatments 9.3 How to experiment badly 9.4 Randomized comparative experiments Lesson 5: 9.5 The logic of randomized comparative experiments 9.6 Cautions about experiments 9.7 Matched pairs and block designs Commentary: Data ethics Assignment #1 due by 11:00 pm on StatsPortal (covers lessons 1-2 and syllabus)
Monday, January 10
Tuesday, January 11
Thursday, January 13
Friday, January 14 Assignment #2 due by 11:00 pm on StatsPortal (covers lessons 3 & 4)
2
Monday, January 17 Martin Luther King Jr. Day No Classes Tuesday, January 18 Deadline for StatsPortal and iClicker registration. Wednesday, January 19 Lesson 6: Ch.1 Introduction 1.1 Individuals and variables 1.2 Categorical variables: pie charts & bar graphs 1.3 Quantitative variables: histograms 1.4 Interpreting histograms 1.5 Quantitative variables: stemplots Lesson 7: Ch.2 Introduction 2.1 Measuring center: the mean 2.2 Measuring center: the median 2.3 Comparing mean and median 2.4 Measuring spread: the quartiles 2.5 The five-number summary & boxplots Lesson 8: 2.6 Spotting suspected outliers 2.7 Measuring spread: st. dev 2.8 Choosing measures of center & spread 2.9 Using technology Assignment #3 due by 11:00 pm on StatsPortal Wednesday, January 26 Lesson 9: Ch.3 Introduction 3.1 Density curves 3.2 Describing density curves 3.3 Normal distributions 3.4 The 68-95-99.7 rule 3.5 The standard Normal distribution Lesson 10: 3.6 Find Normal proportions 3.7 Using standard Normal table 3.8 Find value given proportion Thursday, January 20 Friday, January 21 Assignment #4 due by 11:00 pm on StatsPortal (covers lessons 5 & 6) StatCrunch website: http://statistics.byu.edu/statc runch/index.html Passcode: BYUStat
Add/drop deadline
Monday, January 24
Tuesday, January 25
Thursday, January 27
Friday, January 28 Assignment #6 due by 11:00 pm on StatsPortal (covers lessons 8 & 9)
Assignment #5 due by 11:00 pm on StatsPortal (covers lesson 7) Introduction StatTutor lesson is found at the top of the chapter list on eBook. StatCrunch website: http://statistics.byu.edu/statcrunch/index.html
Passcode: BYUStat
3
Monday, January 31 Exam 1 covers Lesson 1-10 (Chapters 1 3, 8 & 9) Check Blackboard for study guide, practice exam, glossary, etc. 1st day EXAM 1* Tuesday, February 1 Wednesday, February 2 Lesson 12: 4.5 Measure linear association: correlation 4.6 Facts about correlation Lesson 11: Ch. 4 Introduction 4.1 Explanatory and response variables 4.2 Displaying relationships: scatterplots 4.3 Interpreting scatterplots 4.4 Adding categorical variable to scatterplot Lesson 13: Ch.5 Introduction 5.1 Regression lines 5.2 Least-squares regression line 5.3 Using technology Lesson 14: 5.4 Facts about least-squares regression 5.5 Residuals Assignment #7 due by 11:00 pm on StatsPortal (covers lesson 10) 3rd day EXAM 1* Wednesday, February 9 Lesson 15: Ch.5 Influential observation Ch.5 Cautions about correlation & regression Ch.5 Association does not imply causation Lesson 16: Ch.6 Introduction 6.1 Marginal distributions 6.2 Conditional distributions Lesson 18: Ch.10 Introduction 10.1 The idea of probability 10.2 Search for randomness 10.3 Probability models 10.4 Probability rules 10.7 Random variables Assignment #9 due by 11:00 pm on StatsPortal (covers lesson 13) Thursday, February 3 Friday, February 4 Assignment #8 due by 11:00 pm on StatsPortal (covers lessons 11 & 12)
LAST day to take Exam 1. Must start before 5 pm & pay $8 late fee
2 day EXAM 1*
nd
4th day EXAM 1* $5 late fee
Monday, February 7
Tuesday, February 8
Thursday, February 10
Friday, February 11 Assignment #10 due by 11:00 pm on StatsPortal (covers lessons 14 & 15)
1st Block Withdraw Deadline
4
Monday, February 14 Tuesday, February 15 Wednesday, February 16 Lesson 19: Ch.11 Introduction 11.1 Parameters and statistics 11.2 Statistical estimation and LLN 11.3 Sampling distribution Lesson 20: 11.4 Sampling distribution of x 11.5 Central Limit Theorem (StatTutor lesson has 2 parts) Lesson 21: Found only on eBook on StatsPortal 11.6 Statistical Process Control 11.7 x -charts 11.8 Thinking about process control Assignment #11 due by 11:00 pm on StatsPortal (covers lesson 16) Wednesday, February 23 Lesson 22: Ch.14 Introduction 14.1 The reasoning of statistical estimation 14.2 Margin of error and confidence level 14.3 Confidence intervals for a population mean (Watch part I of StatTutor lesson) Review for Exam 2 Thursday, February 17 Friday, February 18 Assignment #12 due by 11:00 pm on StatsPortal (covers lessons 18 and 19)
Monday, February 21 Presidents Day No Classes
Tuesday, February 22 Monday Instruction Day
Thursday, February 24
Friday, February 25 Assignment #14 due by 11:00 pm on StatsPortal (covers lesson 21)
Assignment #13 due by 11:00 pm on StatsPortal (covers lesson 20) *Exam 1 covers chapters 1 through 3, 8 and 9. Check Blackboard for study guide, practice exam, glossary, etc. StatCrunch website: http://statistics.byu.edu/statcrunch/index.html Passcode: BYUStat Monday, February 28 Tuesday, March Wednesday, March 2 1 Lesson 23: Exam 2 covers 1-21 Lessons (Chapters 14.3 Confidence intervals for a population mean (Watch 1 11 and 26) part II of StatTutor lesson) 14.4 The reasoning of tests of significance 1st day EXAM 2* Lesson 24: 14.5 Stating hypotheses 14.6 P-values and statistical significance Lesson 25: 14.7 Tests for a population mean (StatTutor lesson has 3 parts) 2nd day EXAM 2* Assignment #15 due by 11:00 pm on StatsPortal (covers lesson 22) 3rd day EXAM 2*
Thursday, March 3
Friday, March 4 Assignment #16 due by 11:00 pm on StatsPortal (covers lessons 23 and 24) LAST day EXAM 2. Must start before 5 pm & pay $8 late fee
4th day EXAM 2* $5 late fee
5
Monday, March 7 Assignment #17 due by 11:00 pm on StatsPortal Tuesday, March 8 Wednesday, March 9 Lesson 26: 14.9 Tests from confidence intervals (found only on eBook on StatsPortal) 15.1 Conditions for inference in practice 15.2 How confidence intervals behave Lesson 27: 15.3 How significance tests behave 15.4 Planning Studies: sample size for confidence intervals Lesson 28: 15.5 Planning studies: the power of a statistical test (Type I and Type II Errors) Assignment #18 due by 11:00 pm on StatsPortal (covers lesson 25) Wednesday, March 16 Lesson 30: Ch. 17 Introduction 17.1 Conditions for inference about a mean 17.2 The t distributions 17.3 The one-sample t confidence interval 17.4 The one-sample t test 17.5 Using technology Lesson 31: 17.6 Matched pairs t procedures 17.7 Robustness of t procedures Lesson 31: Ch. 18 Introduction 18.1 Two-sample problems 18.2 Comparing two population means 18.3 Two-sample t procedures 18.4 Using technology 18.5 Robustness again Thursday, March 10 Friday, March 11 Assignment #19 due by 11:00 pm on StatsPortal (covers lessons 26 and 27)
Monday, March 14
Tuesday, March 15
Thursday, March 17
Friday, March 18 Assignment #21 due by 10:00 pm in class or SLC Testing Center (Paper submission)
Withdraw Deadline Assignment #20 due by 11:00 pm on StatsPortal (covers lesson 28)
6
Monday, March 21 Tuesday, March 22 Wednesday, March 23 Lesson 32?: Ch.24 Introduction 24.1 Comparing several means 24.2 The analysis of variance F test 24.3 Using technology 24.4 The idea of analysis of variance 24.5 Conditions for ANOVA Lesson 33: pages 502-504 Ch. 19 Introduction p 19.1 The sample proportion End of material on Exam 3 Thursday, March 24 Friday, March 25 Assignment #23 due by 11:00 pm on StatsPortal (covers lesson 32)
Assignment #22 due by 11:00 pm on StatsPortal (covers lessons 30 - 31) *Exam 2 covers chapters 1 through 11. Check Blackboard for study guide, practice exam, glossary, etc. StatCrunch website: http://statistics.byu.edu/statcrunch/index.html Passcode: BYUStat
Monday, March 28 Assignment #24 due by 11:00 pm on StatsPortal (covers lesson 39) Exam 3 covers Lessons 1-33 (Chapters 1 11, 14 18 and 24) 1st day EXAM 3*
Tuesday, March 29
2 day EXAM 3*
nd
Wednesday, March 30 Lesson 34: 19.2 Large sample confidence intervals for a proportion 19.4 Choosing the sample size 19.5 Significance tests for a proportion Lesson 35: 20.1 Two-sample problems: proportions 20.2 The sampling dist of a difference b/w proportions 20.3 Large-sample CIs for comparing proportions 20.6 Significance tests for comparing proportions Lesson 37: 22.1 Two-way tables 22.3 Expected counts in two-way tables 22.4 The chi-square test statistic 22.5 Cell counts required for the chi-square test Technology Lesson 38: 22.6 Using technology 22.7 Uses of the chi-square test 22.8 The chi-square distributions Assignment #25 due by 11:00 pm on StatsPortal (covers lesson 33) 3rd day EXAM 3*
Thursday, March 31
Friday, April 1
LAST day EXAM 3* Must start before 5 pm & pay $8 late fee
4th day EXAM 3* $5 late fee
7
Monday, April 4 Assignment #26 due by 11:00 pm on StatsPortal (covers lessons 34 and 35) Do course evaluation Tuesday, April 5 Wednesday, April 6 Lesson 40: Ch. 23 Introduction 23.1 Conditions for regression inference 23.2 Estimating parameters 23.3 Using technology 23.4 Testing hypothesis of no linear relationship 23.5 Testing lack of correlation 23.6 CI for the regression slope Lesson 41: 23.7 Inference about prediction (StatTutor lesson has 2 parts) 23.8 Checking the conditions for inference Lesson 42: Selecting which procedure to use.swf (found after chapter 25 on the chapter listings of eBook on StatsPortal) Lesson 41: ReviewThe Big Pictureconnect to Lesson 1 Selecting which procedure to use.swf (found after chapter 25 on the chapter listings of eBook on StatsPortal) Assignment #27 due by 11:00 pm on StatsPortal (covers lesson 37) Do course evaluation on route Y Wednesday, April 13 Review for final Thursday, April 7 Friday, April 8 Assignment #28 due by 11:00 pm on StatsPortal (covers lessons 38 and 40) Do course evaluation on route Y
Do course evaluation on route Y
Do course evaluation on route Y
Monday, April 11 Assignment #29 due by 11:00 pm on StatsPortal (covers lesson 41) Do course evaluation on route Y
Tuesday, April 12
Thursday, April 14
Friday, April 15
Exam Preparation Day Last Day of Classes Exam Preparation Day Do course evaluation on route Y Assignment #30 due by 11:00 pm on StatsPortal (extra-credit) Saturday, April 16 Take Final in Testing Center. Covers Lessons 1-41 (Chapters 1-11, 14-24)
Monday, April 18 Take Final in Testing Center
Tuesday, April 19 Take Final in Testing Center
Wednesday, April 20 Take Final in Testing Center
Thursday, April 21 Take Final in Testing Center
Friday, April 22 Graduation
*Exam 3 covers chapters 1 through 11, 14 through 18 and 24. Check Blackboard for study guide, practice exam, glossary, etc. Final exam covers chapters 1 through 11 and 14 through 24. Check Blackboard for study guide, practice exam, glossary, etc. Procedure review StatTutor lesson is found at the bottom of the chapter listings on eBook StatCrunch website: http://statistics.byu.edu/statcrunch/index.html Passcode: BYUStat

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BYU - STATS - 121

A NSWER KEY The situation is as follows: The average 1-ounce chocolate chip cookie contains 110 calories. A r andom sample of 15 different brands of 1-ounce chocolate chip cookies resulted in the following calorie amounts: 100 100 125 150 150 140 160 135

BYU - STATS - 121

BYU - STATS - 121

Exam 3 Lecture ReviewStatistics 2211. A certain brand of fishing line claims to have an average breaking strength of 30 pounds. A group of fishermen become angry because this brand of line seems to break so easily and test 25 randomly selected lines of

BYU - STATS - 121

Sampling DistributionsClick to edit Master subtitle style4/7/11ReviewRandom phenomenonIndividual outcomes unpredictable all possible outcomesSample spaceProbability of an outcome4/7/11Reviewparameter numerical fact aboutthe population (e.g. ) t

BYU - STATS - 121

StatCrunch Instructions Assignment 8Questions 3-6pctretnewbirds7456668185211731262155216451762184618601946203820Highlight and copy the preceding data (highlight everything from pctret to the last 20)Open Up statCrunchClick

BYU - STATS - 121

Statistics 121- Principles of Statistics Section 51Winter 2011 Syllabus Salt Lake CenterLearning Outcomes: Students who receive a passing grade in Stat 121 will 1. Understand the importance of how data can be collected, and how data collection dictates

BYU - STATS - 121

Statistics 121- Principles of Statistics Section 055Winter 2011 Syllabus TuTh Evening LectureLearning Outcomes: Students who receive a passing grade in Stat 121 will 1. Understand the importance of how data can be collected, and how data collection dict

BYU - STATS - 121

StatCrunch Instructions Assignment 10Questions 1-3speedfuelresid1021.0010.092013.002.243010.00-0.62408.00-2.47507.00-3.33605.90-4.28706.30-3.73806.95-2.94907.57-2.171008.27-1.321109.03-0.421209.870.5713010.791.6

BYU - STATS - 121

Jeopardy questions for exam 2Confidence Intervals 1. The change in the width of a confidence interval when the sample size is increased 2. The change in the width of a confidence interval when the level of confidence is increased 3. With 90% confidence,

BYU - STATS - 121

Statistics 121 Schedule for Winter 2011 PowerPoint TuTh Lectures:Monday, January 3 Tuesday, January 4 Lesson 1: Course syllabus Introduction to text (found at the top of the chapter listings on eBook.) Lesson 2: 2.10* Organizing a statistical problem Mis

BYU - STATS - 121

Realistic Inference about a Population Mean (cont.)Click to edit Master subtitle style4/7/11specify parameter of interestcfw_99FD2280-1772-4387-8446-6A09EDEAB7FAFour Steps for Confidence Intervalcfw_64158877-9812-4CD3-B48C-80154A7F695D cfw_07669895-

BYU - STATS - 121

StatCrunch Instructions Assignment 12Questions 8-9Simulating the data: Select 'Data' > 'Simulate Data' > 'Bernoulli' Fill in the boxes as follows: Rows: 100 Columns: 1p: 0.5 Select 'Simulate' To find the percentage missed and made: Sele

BYU - STATS - 121

Statistics 121 Formula Sheetx= 1 xi ns=( x x )i2n 1Observation < Q1 (1.5 x IQR) Or Observation > Q3 + (1.5 x IQR)z=x x = + zMeansz=x 0 nx z* ns n z * n= m2t=x 0 s nx t *with df = n 1with df = n 12 s12 s2 + n1 n2t=x1 x 22 s12 s 2

BYU - STATS - 121

Statistics 121 Schedule for Winter 2011 Flash MWF Lectures:Monday, January 3 Tuesday, January 4Schedule subject to changeplease check Blackboard dailyThursday, January 6 Friday, January 7Wed, Jan 5/ Thur, Jan 6 Lesson 1: Course Syllabus Read Introduct

BYU - STATS - 121

StatCrunch Instructions Assignment 14Questions 1-2sampledataAdataBdataC111.60211.62711.495211.54711.61311.475311.31211.49311.465411.44911.60211.497511.40111.36011.573611.60811.37411.563711.47111.59211.321811.45311.458

BYU - STATS - 121

Statistics 121- Principles of Statistics Section 052/053Winter 2011 Syllabus Salt Lake CenterLearning Outcomes: Students who receive a passing grade in Stat 121 will 1. Understand the importance of how data can be collected, and how data collection dict

BYU - STATS - 121

StatCrunch Instructions Assignment 16Questions 7-11iq1141001048910291114114103105108130120132111128118119867211110374112107103989611211293Highlight and copy the preceding data (highlight everything from 'iq' to '93')Ope

BYU - STATS - 121

BYU - STATS - 121

BYU - STATS - 121

statCrunch Instructions Assignment 21Questions 9-13studentexpctrl124252231334744442455265764642738508333692835102838112143122731132526144548Highlight and copy the preceding data (highlight everyth

BYU - STATS - 121

BYU - STATS - 121

Statistics 121 Schedule for Winter 2011 Flash Lectures:Monday, January 10 Lesson 1: Course Syllabus Lesson 3: 8.1 Population vs. Sample 8.2 How to sample badly 8.3 Simple random samples 8.4 Inference about the population 8.5 Other sampling designs 8.6 Ca

BYU - STATS - 121

StatCrunch Instructions Assignment 28Questions 1-8pricedeforest290.49401.59541.69551.82723.10Highlight and copy the preceding data (from 'price' to '3.10')Open Up statCrunchClick 'Data' -> 'Load Data' -> 'From Paste'Click 'Paste data f

BYU - STATS - 121

Statistics 121- Principles of Statistics Section 54 Monday Evening LectureWinter 2011 Syllabus Salt Lake CenterLearning Outcomes: Students who receive a passing grade in Stat 121 will 1. Understand the importance of how data can be collected, and how da

BYU - STATS - 121

StatCrunch InstructionsAssigment 29Questions 1-13thickness velocity0.248 123.80.359 223.90.366 180.90.400 104.80.524 228.60.552 223.80.628 326.20.697 302.40.697 145.20.752 263.10.806 302.40.821 302.4Highlight and copy the prece

BYU - STATS - 121

Stat 121Lesson TopicsFall 2010Lesson # 12Flash Course syllabus Introduction to text 2.10* Organizing a statistical problem Ch. 8 Introduction 9.1 Observation versus experiment 8.1 Population vs. Sample 8.2 How to sample badly 8.3 Simple random sample

BYU - STATS - 121

Practice questions for Exam 1 This practice exam is not intended to duplicate the actual exam. It is intended to provide practice as part of your exam preparation. 1. The study of statistics encompasses all of the following except A. properly collecting o

BYU - STATS - 121

Glossary for terms on Exam 1bar graph: a graphical representation of categorical data. Names of each category are listed on the x axis and a bar is place over each category name having height equal to the frequency (or percentage) in that category. bias:

BYU - STATS - 121

LIST OF THINGS TO REVIEW FOR EXAM 1Know These Definitions: Confounding Distribution IQR Lurking variable Median Mean Probability sample Q1 Q3 Randomization Replication Simple random sample Standard deviation Statistically significant result z-score Be ab

BYU - STATS - 121

Explanatory Variable and Response Variable WorksheetThe following table shows why it is important to identify the explanatory and response variables in a study. If we know what the variables are and whether they are categorical or quantitative, then we k

BYU - STATS - 121

Random selection of subjects yes noCannot conclude Can generalize, but cannot causation conclude causation or generalizeCan generalize and conclude causationCan conclude causation, but cannot generalize

BYU - STATS - 121

Jeopardy questions for exam 1Experiments 1. The basic unit of an experiment upon which the treatment is applied. 2. An experimental condition where neither the subjects nor the diagnosticians know which treatment each subject received. 3. A weakness in e

BYU - STATS - 121

Practice questions for Exam 2This practice exam is not intended to duplicate the actual exam. It is intended to provide practice as part of your exam preparation. 1. The value of a parameter will only change if A. the population changes. B. a different s

BYU - STATS - 121

Glossary for Exam 2association: Values of one variable tend to occur with certain values of another variable; detected when the conditional distributions differ from the marginal distribution and from each other. bias: The design of a statistical study i

BYU - STATS - 121

STUDY GUIDE FOR EXAM 2Know These Definitions: Explanatory variable Response variable Slope y-intercept r2 least-squares regression line residual influential observation probability random variable Law of Large Numbers sampling distribution of x Central L

BYU - STATS - 121

Jeopardy questions for exam 2Correlation and scatter plots 1. A measure of the strength of the linear relationship between two variables. 2. The type of data required for regression analysis. 3. A variable that gives the value (may not be a number) of th

BYU - STATS - 121

Lecture Review for exam 2 1. Hallux abducto valgus (called HAV) is a deformation of the big toe that is not common in youth and often requires surgery. Metatarsus adductus (called MA) is a turning in of the front part of the foot that is common in adolesc

BYU - STATS - 121

Exam 2 Lecture review answers 1. a. b. c. d. e. Form: linear Direction: positive Strength: moderate rise For every one degree increase in MA angle, the HAV angle increases by slope run .413 degrees on average. 19% of the variation in HAV angle is explaine

BYU - STATS - 121

Sampling Distribution of x Help Sheet 1. Consider the random digits 0, 1, 2, 3, 4, 5, 6, 7, 8, and 9. The population distribution of random digits has the following histogram:0.101234 5 Random digits6789The height of each bar is at 0.10 since 1

BYU - STATS - 121

Distribution of Onset of Alzheimers Disease (in years)The distribution of the age of the onset of Alzheimers Disease among patients diagnosed with the condition has a mean of 60 years and a standard deviation of 1.2 years. Suppose you were to take one si

BYU - STATS - 121

Practice questions for Exam 31. Fill in the blank: The t-distribution with 8 degrees of freedom has _ the standard Normal distribution. A. the same center but is more spread out than B. the same center but is less spread out than C. the same center and s

BYU - STATS - 121

Glossary for exam 3: The symbol for level of significance. : The probability of failing to reject a false null hypothesis. Alternative hypothesis: The hypothesis that the researcher wants to prove or verify; a statement about the value of a parameter tha

BYU - STATS - 121

Study Guide for Exam 3Be able to define P-value margin of error type I error type II error confidence interval confidence level practical significance statistical significance Be able to interpret in context P-value type I error type II error statistical

BYU - STATS - 121

Updated:17Dec2010PRACTICE FINAL EXAM This practice exam is not intended to duplicate the final nor is it intended to cover all possible questions that could be on the final. Hopefully, it will give you an idea of your level of preparedness and give you s

BYU - STATS - 121

GLOSSARYalternative hypothesis: A statement about the value of a parameter that is either less than, greater than, or not equal to a hypothesized number or another parameter; the hypothesis that the researcher usually wants to prove or verify. Analysis o

BYU - STATS - 121

What to know for the Final Exam: (This list is not necessarily complete.) Organizing and Summarizing data 1. Be able to define distribution. 2. Know how to identify explanatory and response variables decide whether they are categorical or quantitative. 3.

BYU - STATS - 121

Match symbols with names SYMBOLS 1. 2. 3. 4. 5. 6. 7.s n x1 x 21 2na. b. c. d.NAMES Population standard deviation Standard deviation of the sampling distribution of x Population mean and Mean of the sampling distribution of x Sample meane. Sample st

BYU - STATS - 121

ESTIMATION USING CONFIDENCE INTERVALS: THE FOUR-STEP PROCESS STATE: What is the question that requires estimating a parameter? PLAN: Choose correct procedure (e.g. one sample Z confidence interval for proportions) Describe parameter being estimated in con

BYU - STATS - 121

Me The Class (Syllabus)What is Statistics?iClickerWhich adjective best describes statistics in your current view? a. b. c. d. terrifying mind-numbing propitious exhilarating The . . . foundation of theology is to ascertain the character of God. It is b

BYU - STATS - 121

Standard Normal Distribution Finding Proportions Using the Standard Normal Table normal density curve with =0 and =1 area under curve = proportion areas under curve for standard normal completely specified in Table AiClickerUsing the 68-95-99.7 rule, w

BYU - STATS - 121

iClicker Statistical Problem SolvingWhat is statistics? a. a bunch of numbers b. a way to calculate useful numbers c. methodology for doing research in the presence of variation d. a class that everyone has to endureiClickerWhat is the basic dogma of t

BYU - STATS - 121

Sample Survey (Poll) Collecting Data: I. SamplingDefinitionobservation of individuals in a sample of individuals in sample (subset) of population of interestPurposeuse sample fact in place of population fact e.g. use sample mean as (uncertain) guess o

BYU - STATS - 121

CollectingData:I.Sampling (cont.)EvenifYouSampleWellSurvSamp/ DesExp1 / 26SurvSamp/ DesExp2 / 26NonSamplingBiasprobabilitysamplesmaystillhavebias: undercoverage nonresponse misleadingresponse interviewer questionwording questionorderSurvSamp/ DesE

BYU - STATS - 121

CollectingData:II. Experiments (cont.)HowtoExperimentWellSurvSamp/ DesExp1 / 26SurvSamp/ DesExp2 / 26RandomizedComparativeExperiment1.Control 2.Randomization 3.Replication1.control controllurkingvariablesbyincluding comparisontreatments,using homo

BYU - STATS - 121

StatisticalGraphicsrepresentnumericalquantitieswithvisual elements(length,area,position, darkness) visualelementconsistentandproportional toquantity ideal:leaveminimummentalprocessing forviewerGraphingStatisticalGraphics1 / 34Graphing2 / 34over 25

BYU - STATS - 121

NumericalSummary DescribingDistributions withNumberssummarizedistributionofquantitative variable withwelldefinedmeasuresof: center spread shapeNumber Summary1 / 44Number Summary2 / 44Center?Spread?Shape?MeasuresofCenter1. median=middlevalue 2. mea

BYU - STATS - 121

DescribingDistributions withNumbers(cont.)Detour: 5NumberSummary,BoxplotNumber Summary1 / 44Number Summary2 / 445NumberSummarymedian,rangeandiqr determinedby5 numbers(called5numbersummary): min (minimum) Q1 (1st quartile) med (2nd quartile,median)

BYU - STATS - 121

DensityFunctionsand NormalDistributionsiClickerWhichofthefollowingisnot astepin exploringthedistributionofaquantitative variable? a. numericalsummary b. graphicaldisplay c. randomsample d. examinepatternNumber Summary1 / 44Number Summary2 / 44Model

BYU - STATS - 121

Scatterplots and Correlation Scatterplots and Correlation data set consists of 2 quantitative variables for each individual e.g. age and blood pressure want to summarize relationship between 2 variables using pictures and numerical summaries1 / 44 2 / 4

BYU - STATS - 121

iClickera. b.MeasuringLinearAssociation: CorrelationWhichscatterplot hasthestrongerrelationship? a. scatterplot a b. scatterplot b c. neither1 / 29 ScatterplotsiClickerWhichphrasebest describesthe strengthofthis relationship? a. b. c. d. veryweak mo

BYU - STATS - 121

CorrelationIntroduction to Regressionone-number summary of strength and direction of linear relationship does not indicate location or steepness of linear relationshipiClickerIn what sense does r also give the form of a relationship? a. impossible to