| # | TOPIC | TITLE | +/- | |
|---|---|---|---|---|
| 1 | Study Plan | Study plan - Grade 12 - Mathematics of Data Management | Info | Go |
|
Objective: On completion of the course formative assessment a tailored study plan is created identifying the lessons requiring revision. |
||||
| 2 | Probability | Simple events | Info | Go |
|
Objective: To find the probability of events using sample space and event set (E) and P(E) = n(E)/n(S) |
||||
| 3 | Probability | Rolling a pair of dice | Info | Go |
|
Objective: To find the probability of selected events when two dice are rolled |
||||
| 4 | Probability | Experimental probability | Info | Go |
|
Objective: To find the experimental probabilities of an experimental trial |
||||
| 5 | Probability | Experimental probability | Info | Go |
|
Objective: To use tree diagrams to determine sample spaces and compound probabilities |
||||
| 6 | Probability | Tree diagrams: depending on previous outcomes | Info | Go |
|
Objective: To use tree diagrams where the probability is dependent on previous outcomes |
||||
| 7 | Probability | The Complementary Result | Info | Go |
|
Objective: To calculate the probability of complementary events using P(E) = 1 - P(not E) |
||||
| 8 | Probability | P[A or B] When A and B are NOT mutually exclusive | Info | Go |
|
Objective: To calculate the probability of non exclusive events using P(A or B) = P(A)+P(B) |
||||
| 9 | Statistics part 1 | Frequency distribution table | Info | Go |
|
Objective: To construct a frequency distribution table for raw data and to interpret the table |
||||
| 10 | Statistics part 1 | Frequency histograms and polygons | Info | Go |
|
Objective: To construct and interpret frequency histograms and polygons |
||||
| 11 | Statistics part 1 | Relative Frequency | Info | Go |
|
Objective: To extend the frequency distribution table to include a relative frequency column |
||||
| 12 | Statistics part 1 | The Range | Info | Go |
|
Objective: To determine the range of data in either raw form or in a frequency distribution table |
||||
| 13 | Statistics part 1 | The Mode | Info | Go |
|
Objective: To find the mode from raw data and from a frequency distribution table |
||||
| 14 | Statistics part 1 | The Mean | Info | Go |
|
Objective: To calculate means from raw data and from a frequency table using an fx column |
||||
| 15 | Statistics part 1 | The Median | Info | Go |
|
Objective: To determine the median of a set of raw scores |
||||
| 16 | Statistics part 1 | Cumulative Frequency | Info | Go |
|
Objective: To construct cumulative frequency columns, histograms and polygons |
||||
| 17 | Statistics part 1 | Calculating the Mean from a Frequency Distribution | Info | Go |
|
Objective: To determine averages (mean, median and mode) from cumulative frequency polygons |
||||
| 18 | Statistics part 2 | Calculating mean, mode and median from grouped data | Info | Go |
|
Objective: To identify class centres, get frequency counts and determine mean, mode and median values |
||||
| 19 | Statistics part 2 | Using the Calculator for Statistics | Info | Go |
|
Objective: To find a mean, using a data set or a frequency distribution table and calculator. |
||||
| 20 | Statistics part 2 | Measures of Spread | Info | Go |
|
Objective: To determine a range and use it in decision making |
||||
| 21 | Statistics part 2 | Standard deviation applications | Info | Go |
|
Objective: To find a standard deviation, using a data set or a frequency distribution table and calculator |
||||
| 22 | Statistics part 2 | Applications of Standard Deviation | Info | Go |
|
Objective: To use standard deviation as a measure of deviation from a mean |
||||
| 23 | Statistics part 2 | The Normal Distribution | Info | Go |
|
Objective: To use the standard deviation of a normal distribution to find a percentage of scores within ranges |
||||
| 24 | Statistics part 2 | Measures of Spread: the interquartile range | Info | Go |
|
Objective: To find the upper and lower quartiles and the interquartile range |
||||
| 25 | Statistics part 1 | Stem and Leaf Plots along with Box and Whisker Plots | Info | Go |
|
Objective: To derive statistics from data represented as stem & leaf or box & whisker plots |
||||
| 26 | Statistics part 1 | The Scatter plot | Info | Go |
|
Objective: To make a valid interpretation of data presented as a scatter plot |
||||
| 27 | Probability | The Binomial Theorem and Binomial Coefficients | Info | Go |
|
Objective: To calculate binomial coefficients and expand binomial powers. |
||||
| 28 | Probability | Binomial probabilities using the Binomial Theorem | Info | Go |
|
Objective: To calculate the binomial probability of a given number of successful trials |
||||
| 29 | Probability | Counting techniques and ordered selections | Info | Go |
|
Objective: To use counting techniques in probability |
||||
| 30 | Probability | Unordered selections - combinations | Info | Go |
|
Objective: To use the nCr formula to solve problems where unordered selections occur |
||||
| 31 | Exam | Exam - Grade 12 - Mathematics of Data Management | Info | Go |
|
Objective: Exam |
||||
Join today and have your whole family enjoy the benefits that only a great educational product can deliver. With a 14-day Money Back Guarantee you can't afford not to join!Enquiry form
Simply fill out our enquiry form with any questions or suggestions you may have. Our friendly staff is more
than keen to answer any question you have regarding
our learning system or general questions. Enquiry form