Ms. Seasholtz's Math Website
Home
IBSL Analysis and Approaches Y1
This Week During IBSL Analysis Y1
Supplies List
Unit 1 Resources
>
Formative Answers
Week 1
Week 2
Week 3
Week 4
Week 5
Week 6
Week 7
Week 8
Unit 2 Resources
>
Formative Answers
Week 1
Week 2
Week 3
Week 4
Week 5
Week 6
Week 7
Unit 3 Resources
>
Formative Answers
Week 1
Week 2
Week 3
Week 4
Week 5
Week 6
Week 7
Week 8
Unit 4 Resources
>
Formative Answers
Week 1
Week 2
Week 3
Week 4
Week 5
Week 6
Unit 5 Resources
>
Formative Answers
Week 1
Week 2
Week 3
Week 4
Week 5
Week 6
Week 7
Week 8
HL STUDENTS: Sequences and Series and Matrices
>
Homework Answers
Calculus/IBSL Analysis and Approaches Y2
This Week During Calculus
Supplies List
Unit 1 Resources
>
Formative Answers
Week 1
Week 2
Week 3
Week 4
Week 5
Unit 2 Resources
>
Formative Answers
Week 1
Week 2
Week 3
Week 4
Week 5
Week 6
Week 7
Week 8
Unit 3 Resources
>
Formative Answers
Week 1
Week 2
Week 3
Week 4
Week 5
Week 6
Unit 4 Resources
>
Week 1
Week 2
Week 3
Unit 5 Resources
>
Formative Answers
Week 1
Week 2
Week 3
Week 4
Week 5
Week 6
Week 7
Week 8
Week 9
Week 10
Week 11
About and Contact Information
In this unit students will cover the following IBSL Analysis and Approaches Standards:
SL 4.1
Concepts of population, sample, random sample, discrete and continuous data.
Reliability of data sources and bias in sampling.
Interpretation of outliers.
Sampling techniques and their effectiveness.
SL 4.2
Presentation of data (discrete and continuous):
frequency distributions (tables).
Histograms.
Cumulative frequency; cumulative frequency
graphs; use to find median, quartiles, percentiles,
range and interquartile range (IQR).
Production and understanding of box and whisker diagrams.
SL 4.3
Measures of central tendency (mean, median and mode).
Estimation of mean from grouped data.
Modal class.
Measures of dispersion (interquartile range,
standard deviation and variance).
Effect of constant changes on the original data.
Quartiles of discrete data.
SL 4.4
Linear correlation of bivariate data.
Pearson’s product-moment correlation coefficient, r.
Scatter diagrams; lines of best fit, by eye, passing
through the mean point.
Equation of the regression line of y on x.
Use of the equation of the regression line for
prediction purposes.
Interpret the meaning of the parameters, a and b, in a linear regression y = ax + b.
SL 4.10
Equation of the regression line of x on y.
Use of the equation for prediction purposes.
-I
B Diploma Program Mathematics: Analysis & Approaches Guide
Home
IBSL Analysis and Approaches Y1
This Week During IBSL Analysis Y1
Supplies List
Unit 1 Resources
>
Formative Answers
Week 1
Week 2
Week 3
Week 4
Week 5
Week 6
Week 7
Week 8
Unit 2 Resources
>
Formative Answers
Week 1
Week 2
Week 3
Week 4
Week 5
Week 6
Week 7
Unit 3 Resources
>
Formative Answers
Week 1
Week 2
Week 3
Week 4
Week 5
Week 6
Week 7
Week 8
Unit 4 Resources
>
Formative Answers
Week 1
Week 2
Week 3
Week 4
Week 5
Week 6
Unit 5 Resources
>
Formative Answers
Week 1
Week 2
Week 3
Week 4
Week 5
Week 6
Week 7
Week 8
HL STUDENTS: Sequences and Series and Matrices
>
Homework Answers
Calculus/IBSL Analysis and Approaches Y2
This Week During Calculus
Supplies List
Unit 1 Resources
>
Formative Answers
Week 1
Week 2
Week 3
Week 4
Week 5
Unit 2 Resources
>
Formative Answers
Week 1
Week 2
Week 3
Week 4
Week 5
Week 6
Week 7
Week 8
Unit 3 Resources
>
Formative Answers
Week 1
Week 2
Week 3
Week 4
Week 5
Week 6
Unit 4 Resources
>
Week 1
Week 2
Week 3
Unit 5 Resources
>
Formative Answers
Week 1
Week 2
Week 3
Week 4
Week 5
Week 6
Week 7
Week 8
Week 9
Week 10
Week 11
About and Contact Information