MONDAY WEEK 10 TERM 4 -
CHRISTMAS CSI
WHO STOLE SANTA'S SLEIGH?
THURSDAY WEEK 8 TERM 4 - TRANSFORMATIONS
KŌWHAIWHAI PATTERNS
MONDAY WEEK 8 TERM 4 - TRANSFORMATIONS
TRANSLATION
MONDAY WEEK 8 TERM 4 - TASK
WEDNESDAY WEEK 7 TERM 4 - ANGLES OF A STRAIGHT LINE
Draw a straight line for each of the following angles and work out the other angle:
30°
60°
85°
125°
100°
90°
140°
TUESDAY WEEK 7 TERM 4 - DIVISION WORD PROBLEMS
Click the link above to access IXL
MONDAY WEEK 7 TERM 4 - DIVISION
WEDNESDAY WEEK 6 TERM 4 - ANGLES OF POLYGONS
MONDAY WEEK 6 TERM 4 - ANGLES
MONDAY WEEK 4 TERM 4 - STATISTICAL INVESTIGATIONS
CREATE YOUR OWN STATISTICAL INVESTIGATION
FRIDAY WEEK 3 TERM 4 - STATISTICAL INVESTIGATIONS
HOW TO CREATE A SCATTER PLOT
Use the following data to create a scatter plot:
The local ice cream shop keeps track of how much ice cream they sell versus the noon temperature on that day. Here are their figures for the last 12 days:
Ice cream sale vs Temperature
Temperature ℃
14℃
16℃
11℃
15℃
18℃
22℃
19℃
25℃
23℃
18℃
22℃
17℃
Ice Cream Sales
$215
$325
$185
$332
$406
$522
$412
$614
$544
$421
$445
$408
THURSDAY WEEK 3 TERM 4 - STATISTICAL INVESTIGATIONS
HOW TO CREATE A BOX AND WHISKER PLOT
Use the following Numeracy Ninja data (Week 30 session 3) to create a box and whisker plot:
27, 27, 25, 18, 29, 24, 23, 25, 4, 28, 27, 30, 28, 28, 30, 19, 29, 26, 28, 28, 30, 30, 22, 24, 30,
Minimum -
Lower Quartile -
Median -
Upper Quartile -
Maximum -
WEDNESDAY WEEK 3 TERM 4 - STATISTICAL INVESTIGATIONS
INTERPRETING GRAPHS
WEDNESDAY WEEK 3 TERM 4 - STATISTICAL INVESTIGATIONS
HOW TO CREATE A BOX AND WHISKER PLOT
Use the following Numeracy Ninja data to create a box and whisker plot:
17, 15, 19, 15, 6, 16, 17, 17, 15, 21, 11, 25, 15, 22, 1, 5, 12, 19, 19, 13, 8, 15, 16, 24, 8, 20, 7
Minimum -
Lower Quartile -
Median -
Upper Quartile -
Maximum -
THURSDAY WEEK 2 TERM 4 - STATISTICAL INVESTIGATIONS
INTERPRETING GRAPHS
WEDNESDAY WEEK 2 TERM 4 - STATISTICAL INVESTIGATIONS
MEAN, MEDIAN, MODE, RANGE
TASK
MONDAY WEEK 2 TERM 4 - STATISTICAL INVESTIGATIONS
PIE CHARTS
HOW DO ST THERESE STUDENTS COME TO SCHOOL ?
COLLECT THE DATA AND CREATE A PIE CHART.
PROBLEM
STATEMENT - SEPTEMBER WAS HOTTER IN 2023 THAN THE PREVIOUS YEAR.
THURSDAY WEEK 1 TERM 4 - STATISTICAL INVESTIGATIONS
PIE CHARTS
A Pie Chart is a circular graph that is divided into sections that are proportional to the data they represent. It gets its name from its appearance, which resembles a pie that has been cut into different sized slices.
Pie charts are handy because they give you an immediate visual representation of your data. They’re easy to understand, as the different coloured sections make it instantly obvious how each section compares to the others.
When deciding how to present your data, consider how many categories you want to include. The rule of thumb for pie charts is to use under 6 categories, to keep your chart accessible and easy to understand. If you use too many categories, it makes it more difficult to see the proportional difference between the different groups of data.
If you’re working with more than 6 categories of data, consider using a bar chart instead.
Benefits of using a Pie Chart
they display relative proportions of multiple data classes
size of the circle can be edited to be proportional to the total quantity
ideal for displaying a large data set in an easy to digest visual form
easy to interpret at a glance than other types of graph or chart
they are widely understood as they are used commonly in the media and in business
WEDNESDAY WEEK 1 TERM 4 - STATISTICAL INVESTIGATIONS
DATA - LINE GRAPHS
Have I improved in Numeracy Ninjas over the term?
Create a line graph to show to represent this data.
TUESDAY WEEK 1 TERM 4 - STATISTICAL INVESTIGATIONS
DATA - LINE GRAPHS
Line graphs can be used to show how something changes over time. Line graphs are good for plotting data that has peaks (ups) and valleys (downs), or that was collected in a short time period. The following pages describe the different parts of a line graph.
The Title
The title offers a short explanation of what is in your graph. This helps the reader identify what they are about to look at. It can be creative or simple as long as it tells what is in the graph. The title of this graph tells the reader that the graph contains information about the changes in money spent on students of elementary and secondary schools from 1961 to 2002.
The Legend
The legend tells what each line represents. Just like on a map, the legend helps the reader understand what they are looking at. This legend tells us that the green line represents the actual dollar amount spent on each child and the purple line represents the amount spent when adjusted for inflation.
The Source
The source explains where you found the information that is in your graph. It is important to give credit to those who collected your data! In this graph, the source tells us that we found our information from NCES.
Y-Axis
In line graphs, the y-axis runs vertically (up and down). Typically, the y-axis has numbers for the amount of stuff being measured. The y-axis usually starts counting at 0 and can be divided into as many equal parts as you want to. In this line graph, the y-axis is measuring the amount of money spent on individual students for public education.
The Data
The most important part of your graph is the information, or data, it contains. Line graphs can present more than one group of data at a time. In this graph, two sets of data are presented.
X-Axis
In line graphs, like the one above, the x-axis runs horizontally (flat). Typically, the x-axis has numbers representing different time periods or names of things being compared. In this line graph, the x-axis measured different school years.
MONDAY WEEK 1 TERM 4 - STATISTICAL INVESTIGATIONS
A cycle that is used to carry out a statistical investigation. The cycle consists of five stages: Problem, Plan, Data, Analysis, Conclusion. The cycle is sometimes abbreviated to the PPDAC cycle.
The problem section is about formulating a statistical question, what data to collect, who to collect it from and why it is important.
The plan section is about how the data will be gathered.
The data section is about how the data is managed and organised.
The analysis section is about exploring and analysing the data, using a variety of data displays and numerical summaries, and reasoning with the data.
The conclusion section is about answering the question in the problem section and giving reasons based on the analysis section.
PROBLEM
Do people with larger feet jump further?
PLAN
HOW ARE WE GOING TO COLLECT THIS DATA?
WHAT DO WE NEED TO MEASURE?
WHAT NEEDS TO HAPPEN?
HOW CAN WE GET ACCURATE DATA?
HOW CAN WE RECORD THE DATA?
HOW ARE WE GOING TO COLLECT THE DATA?
DATA