Bell Ringer
- Finish Ch 2 Exam
Objectives
- Be able to use the Empirical Rule (68-95-99.7% Rule) to approximate the proportions of normal data falling in certain intervals.
- Understand that standardizing (by subtracting the mean and dividing by the standard deviation) allows us to compare observations from different normal distributions.
- Know that in order to use a standard normal table to do calculations involving normal distributions, we must first standardize measurements.
- Be able to use the standard normal table (z-table) to find the proportion of observations below any value of z.
- Be able to combine standardization with use of the z-table to find the proportion above, below, or between given values in any normal distribution.
- Be able to use software such as Excel, Minitab, or SPSS, or graphing calculators to perform the calculations in D and E without having to convert to z-scores.
Agenda
- Bell Ringer
- Ch 2 Exam
- Closure
Assignments:
- Ch 3 Vocabulary
- Housing webquest
Bell Ringer
Review Ch 2 Exam
Objectives
- Identify explanatory and response variables in situations where one variable helps to explain or influences the other.
- Make a scatterplot to display the relationship between two quantitative variables.
- Describe the direction, form, and strength of a relationship displayed in a scatterplot and identify outliers in a scatterplot.
Agenda
- Bell Ringer
- Scatterplot video
- Housing webquest
- Closure
Assignments:
Graphs of Housing
Wednesday
Bell Ringer
- Review Ch 2 Exam
Objectives
- Least squares regression lines
Agenda
- Bell Ringer
- Closure
Assignments:
Graphs of Housing
Thursday
Bell Ringer
Housing graphs on graph paper
Objectives
- Identify explanatory and response variables in situations where one variable helps to explain or influences the other.
- Make a scatterplot to display the relationship between two quantitative variables.
- Describe the direction, form, and strength of a relationship displayed in a scatterplot and identify outliers in a scatterplot.
- Least squares regression lines
Agenda
- Bell Ringer
- Graph your houses
- Fitting lines to data video
- Graphing Scatterplots in Google sheeets
- Housing webquest
- Closure
Assignments:
Graphs of Housing
Friday
Bell Ringer
Review Housing graphs
Correlation contest
Correlation facts - pg 156
Objectives
- Construct and interpret residual plots to assess whether a linear model is appropriate.
- Interpret the standard deviation of the residuals and r2 and use these values to assess how well the least-squares regression line models the relationship between two variables.
- Describe how the slope, y intercept, standard deviation of the residuals, and r2 are influenced by outliers.
- Find the slope and y intercept of the least-squares regression line from the means and standard deviations of x and y and their correlation
- Identify explanatory and response variables in situations where one variable helps to explain or influences the other.
- Make a scatterplot to display the relationship between two quantitative variables.
- Describe the direction, form, and strength of a relationship displayed in a scatterplot and identify outliers in a scatterplot.
- Interpret the correlation.
- Understand the basic properties of correlation, including how the correlation is influenced by outliers.
- Equation for correlation - pg 154
- Equation for Linear regression - pg 183
- Use technology to calculate correlation. Explain why association does not imply causation.
Agenda
- Bell Ringer
- Correlation
- Using an equation to find the LSR
- Residual plots - interpreting if a scatter plot is linear
- Closure
Assignments:
pg 159 # 1,5,7,11,13,14-18, 21, 27-32
Section 3.2 exercises - pg 193:#35,37,39,41,43, 45, 47, 49, 51