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10.1 2nd Video Understand the value of sampling to assess aspects of a large population
10.1 3rd DD Expeience the ability of a sample to represent important aspects of a much larger population
10.2 2nd Chalkboard Learn about a famous flawed sample and it's consequences
10.3 1st Video Witness how biased question wording can alter responses
11.1 1st Video View an industrial application of a designed experiment
11.2 1st Chalkboard Recognize the treatment(factor) and response variable in a designed experiment and know the terms that describe them
11.3 1st Tool Discover how experiments work by performing one
11.3 2nd Tool Draw conclusions about your perception of the two types of graphs
2.1 4th DD See for yourself how variables are represented in Data Desk and how to wok with them there
2.3 5th DD Practice getting data into Data Desk
3.2 1st Video See a real world problem in which a distribution is needed
3.3 3rd DD Understand how dotplots and histograms are related to each other
3.4 3rd Tool Get acquainted with the normal distribution
3.5 2nd DD Case Study
4.1 1st Video Estimate the time until the next eruption of Old Faithful Geyser
4.1 2nd Tool Know the differering properties of the mean, median, and midrange of a set of data values
4.1 6th DD Case Study
4.2 1st Tool Compare ways to find the spread of a distribution
4.2 6th DD Case Study
Understand how measures of center and spread behave by constructing batches of values with specified centers and
4.3 2nd Tool spreads
4.4 3rd Tool Review the effects of changing center and spread with an important special case
5.1 2nd Tool Know how to relate relative frequencies to intervals of data values using Density curves
5.2 3rd DD Case Study
5.3 3rd Relate any z-score and relative frequency with the Normal Density Tool
6.2 1st DD Use boxplots to compare the distribution of a quantitative response variable for two groups that have been treated differently
6.2 3rd DD Case Study
Know how to display data that have been measured on two quantitative variables on a scatterplot and what to look for in the
7.1 2nd Tool scatterplot
7.1 3rd DD Know how to make and understand scatterplots with Data Desk
7.2 1st Tool Describe the direction, form, and strength of the overall patten seen in a scatterplot
7.2 3rd DD Case Study
7.3 none none SKIP THIS ENTIRE SECTION
7.5 1st DD Learn how to display relationships amoung two quantitative variables and one categorical variable
8.1 1st Chalkboard Know the properties of correlation
8.1 2nd DD Observe how the magnitude of the Correlation Coefficient reflects the strength of the Linear Association
8.2 1st DD Observe how the magnitude of the correlation coefficient can change when the form of the relationship changes
8.3 1st Tool Construct scatterplots with a given correlation
8.3 3rd DD Case Study
9.1 1st Video Identify variables that might be related in a real-world situation
9.1 2nd DD Describe the relationship between deaths and registations with a linear equation
9.2 1st Chalkboard Understand how a linear equation summarizes the relationship between two variables
9.2 3rd DD Know how to find a regression equation using Data Desk
9.3 1st Tool Understand what residuals say about a linear relationship
9.3 2nd Tool Understand how the least squares criterion determines a line
9.3 3rd DD Practice fitting regression lines to data
12.1 1st Tool Experience randomness by working with a tool that generates random outcomes
12.2 1st Tool Discover that with more random outcomes, estimated values settle down
12.2 2nd Tool Discover that we can estimate an unknown value from a collection of random outcomes
12.2 3rd DD Generate and work with random outcomes in Data Desk
13.1 1st Tool Use the idea of probability as long-run relative fequency to think about probabilities
13.1 3rd Tool Apply simple probability concepts to multiple discrete outcomes
13.2 2nd Tool Know how to use the Multiplication Rule to find the probability that two independent events will both occur
15.2 1st Chalkboard Define statistics and parameters
15.2 2nd Chalkboard It's greek to me
Apply the concepts of probability to numeric outcomes. Be able to make and read compact statements about probabilities
15.3 1st Chalkboard and intervals of data
15.3 2nd Chalkboard Discover how the regularity of random variables allows us to estimate unknown parameters
16.1 1st Tool Make better estimates of the population mean by using the sampling distribution of the mean to construct an interval
16.1 2nd Tool Understand how simulation illustrates that random sampling generates sampling distributions
16.3 2nd DD Simulate data from a variety of distributions and check the means for normality
16.3 3rd DD Draw samples from some large populations and check the means for normality
Understand confidence intervals as a balance between precision and the certainly of a statement about a population
17.1 3rd Tool parameter
17.2 3rd DD Case Study
17.3 1st DD Simulate to understand what "95% confident" means
17.3 4th Tool Understand how the margin of error of a CI changes with the sample size and the level of confidence
22.1 2nd Tool Simulate to discover how the standard deviation of a proportion of n values is related to the sample size, n
22.2 1st Tool Find Confidence Intervals for proportions
Simulate to discove how much additional variablilty is introduced by estimating the sampling distribution standard deviation
18.1 3rd DD from the data
Know how to use a t-distribution to constuct confidence intervals for the mean when the sample size is small and the
18.2 1st Tool standard error is estimated from the data
18.2 4th Tool Know the assumptions needed for Student's t and how the affect practical work
18.3 1st DD Apply Student's t Confidence Intervals to real data
18.3 3rd Tool Discover that the real effect of small sample size on Student's t may not arise from small degrees of freedom
19.1 1st Tool Collect data and assess what they say about the claim of "fairness" in a random phenomena
19.2 4th Tool Use p-values and alpha-levels to determine when to reject a null hypothesis
19.2 5th Tool Understand the close relationship between significance tests and confidence intervals
19.3 3rd Tool Be able to identify and use the Alternative Hypothesis when testing hypotheses
19.4 1st DD Case Study
19.4 4th DD Investigate Type I errors by performing tests on many samples drawn from the same population
20.1 2nd Tool Test whether the observed mean difference in sweetness is zero with a t-test
20.2 3rd Tool Understand when to choose a t-test
20.3 SKIP THIS PAGE
20.4 1st Tool Recognize pair data and know how to test whether the mean difference is zero using a t-test
20.4 2nd DD Apply paired t procedures to data in Data Desk
21.1 1st Video View a commerical laboratory in action measuring aspects of hot dog nutrition
21.1 2nd DD Compare hot dog sodium levels with appropriate displays
21.1 3rd Tool Test whether there is a significant difference in hot dog sodium levels using the two-sample t-test
21.1 4th Chalkboard Know the assumptions required for two-sample t procedures
21.1 5th DD Test hot dog sodium levels with a two-sample t-test in Data Desk
21.2 SKIP THIS PAGE
21.3 SKIP THIS PAGE
22.2 2nd Tool Practice hypothesis testing about proportions
23.1 1st Tool Know how to display and interpret counts in a Two-Way table
23.1 2nd Chalkboard Use Standardized Residuals to understand the pattern in a Two-Way table
23.1 3rd DD Know how to make a Two-Way table of counts in Data Desk
23.1 4th Chalkboard Test the hypothesis of equal proportions with a Chi-Square test
23.2 1st Video View the story
7.4 1st Graph Learn how to explore relationships among two or more categorical variables
7.4 2nd DD Learn how to display relationships among one quantitative variable and two categorical variables
13.2 3rd Graph Learn to find probabilities for compound events as fractions of counts of occurrences in a two-way table
14.1 3rd DD Know how to analyze and display data conditionally