U3L2 - Representing data

Question 1

what is discrete data

Answer 1

Discrete data - is counted, can only take certain values.
Ex, the number of students in a class, because you cannot have half a student.
Can only have separate values, often integers but not always.
Can be ungrouped or grouped to be put into intervals ( more convenient).

Question 2

what is continuous data

Answer 2

Continuous data - is measured, can take any value within a range (can be floats, decimals, etc.)
Must be grouped into intervals.
Ex. a dog’s weight, person’s height, length of leaves, etc.

Question 3

stats and axis

Answer 3

Statistics involves collecting, organizing, analysing and interpreting numerical information. In this unit, we place data on the x-axis and the frequency of the data on the y-axis.

☆ - The frequency is how many times x occurs.

Question 4

difference between raw data and data

Answer 4

Data - numerical information collected

Raw data - unprocessed data

Question 5

what is a bar graph

Answer 5

Bar graphs - represent the frequency of discrete/categorical data. Spaces are between the bars since discrete data represents separate values. Can only use a bar graph if the values are closed and remain ungrouped. ☆ must be 5-8 bars.

Question 6

what is a histogram

Answer 6

Histograms - Bars represent the frequency of continuous data or grouped discrete data. Touching bars represent a continuous range of values. Intervals have to be grouped in the data.

Question 7

what is frequency

Answer 7

Frequency - there must be a frequency distribution table to organize the data for a graph to display a particular range of values.

Question 8

categorical data and circle graphs

Answer 8

Categorical data & circle graphs

Categorical data are given labels rather than being measured numerically. Surveys of blood types, citizenship, or favourite foods can all produce categorical data.
Circle graphs/pie charts are often used to illustrate categorical data, while a bar graph is another common choice since each category is separate just like discrete data.

Question 9

what is IQR

Answer 9

IQR = InterQuartile Range
also called the midspread, middle 50%, or H‑spread, is a measure of statistical dispersion, being equal to the difference between 75th and 25th percentiles, or between upper and lower quartiles, IQR = Q3 − Q1

The range gives us a measurement of how spread out the entirety of our data set is. The interquartile range, which tells us how far apart the first and third quartile are, indicates how spread out the middle 50% of our set of data is