![]() On the upper side of the widget you find a drop down menu indicating the size of the sample space, which is the number of compartments of the roulette. We assume the roulette is unbiased: each compartment has the same chance to appear in red whenspinning the roulette. Basically, this is an experiment similar to rolling a dice, but where we control the number of faces (number of compartments in the roulette). The outcome of the experiment is the compartment of the roulette whose number shows in red. The basic experiment consists in spinning a roulette, divided in a given number of compartments, each of the same size and associated with a unique number that identifies it. The widget below illustrates a probability experiment using roulettes of various sizes. Interactive Example: Probabilities as Fractions, Ratios and Percents ¶ Since there are 6 possible outcomes and assuming equal probability, \(P(i) = 100 / 6 = 16.67 \%\). The total number of outcomes is considered 100%. We can also express probabilities using percents. This is equivalent to stating that the probability of getting any given face is 1 in 6, or \(1:6\). the dice is unbiased), then the probability of getting each face is the ratio or fraction \(\dfrac\). If we assume each face is equally likely to occur (i.e. The sample space of rolling a single dice is given by \(\lbrace\)1,2,3,4,5,6 \(\rbrace\) and had sample size 6. The probability of an event is the ratio between the size of the event (as a collection of outcomes) and the size of the sample space. Button ( button_style = 'info', description = "Hide Achievement Indicators", layout = Layout ( width = '25%', height = '30px' ) ) display ( Markdown ( "For instructors:" ))ĭefinition. Button ( button_style = 'info', description = "Show Achievement Indicators", layout = Layout ( width = '25%', height = '30px' ) ) ai_button_hide = widgets. You might often want a text bubble in a fixed location for example, on the upper left of the axes pane and have that location remain fixed when you pan or zoom.From ipywidgets import Button, Layout, interact, widgets from IPython.display import Javascript, display # Function: executes previous cell on button widget click event and hides achievement indicators message def run_current ( ev ): display ( Javascript ( '_cell_range(_selected_index() 0,_selected_index() 1)' )) # Counter for toggling achievement indicator on/off button_ctr = 0 # Achievement Indicators line_1 = "# Achievement Indicators" line_2 = "**General Outcome:**" line_3 = "* The general outcome of this notebook is to use experimental or theoretical probabilities to represent and solve problems involving uncertainty." line_4 = "**Specific Outcome 4:**" line_5 = "* Express probabilities as ratios, fractions and percents." line_6 = "**Specific Outcome 5:**" line_7 = "* Identify the sample space (where the combined sample space has 36 or fewer elements) for a probability experiment involving two independent events.*" line_8 = "**Specific Outcome 6:**" line_9 = "* Conduct a probability experiment to compare the theoretical probability (determined using a tree diagram, table or other graphic organizer) and experimental probability of two independent events*" # Use to print lines, then save in lines_list def print_lines ( n ): lines_str = "" for i in range ( 1, n 1 ): lines_str = lines_str "line_" str ( i ) "," lines_str = lines_str print ( lines_str ) lines_list = # Show/Hide buttons ai_button_show = widgets. The axes coordinate system is extremely useful when placing text in your axes. The default transformation for ax.text is ax.transData and the default transformation for fig.text is fig.transFigure. These transformations can be used for any kind of Matplotlib objects. ![]() For example, if the above test is to be placed in the centre of axes coordinate system, execute the following line of code −Īxes.text(0.5, 0.5, "middle of graph", transform=ansAxes) ![]() Using other transformation objects, placement can be controlled. The text is placed at the theoretical position of a data point (x,y). (0,0) is the bottom left and (width, height) is the top right of display in pixels.Īlternatively, the(()) may be used instead of None. This is the pixel coordinate system of the display. (0,0) is bottom left and (1,1) is top right of the figure (0,0) is bottom left and (1,1) is top right of the axes. The systems are described in brief in the table given below − Coordinate The matplotlib package is built on top of a transformation framework to easily move between coordinate systems.
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