Use MATLAB AppDesigner

Use this code template:

classdef normalApp

% Properties that correspond to app components

properties (Access = public)

UIFigure matlab.ui.Figure

stddeviationSlider matlab.ui.control.Slider

stddeviationSliderLabel matlab.ui.control.Label

meanSlider matlab.ui.control.Slider

meanSliderLabel matlab.ui.control.Label

UIAxes matlab.ui.control.UIAxes

end

properties (Access = public)

x % x-axis

p % calculated scores across each element of x

end

% Callbacks that handle component events

methods (Access = private)

% Code that executes after component creation

function startupFcn(app)

%Write your code here%

end

% Value changed function: meanSlider

function meanSliderValueChanged(app, event)

%Write your code here%

end

% Value changed function: stddeviationSlider

function stddeviationSliderValueChanged(app, event)

%Write your code here%

end

end

% Component initialization

methods (Access = private)

% Create UIFigure and components

function createComponents(app)

% Create UIFigure and hide until all components are created

app.UIFigure = uifigure('Visible', 'off');

app.UIFigure.Position = [100 100 640 480];

app.UIFigure.Name = 'MATLAB App';

% Create UIAxes

app.UIAxes = uiaxes(app.UIFigure);

title(app.UIAxes, 'Normal Distribution')

xlabel(app.UIAxes, 'X')

ylabel(app.UIAxes, 'Y')

zlabel(app.UIAxes, 'Z')

app.UIAxes.Position = [145 222 300 185];

% Create meanSliderLabel

app.meanSliderLabel = uilabel(app.UIFigure);

app.meanSliderLabel.HorizontalAlignment = 'right';

app.meanSliderLabel.Position = [172 171 35 22];

app.meanSliderLabel.Text = 'mean';

% Create meanSlider

app.meanSlider = uislider(app.UIFigure);

app.meanSlider.Limits = [-10 10];

app.meanSlider.ValueChangedFcn = createCallbackFcn(app, @meanSliderValueChanged, true);

app.meanSlider.Position = [228 180 150 3];

% Create stddeviationSliderLabel

app.stddeviationSliderLabel = uilabel(app.UIFigure);

app.stddeviationSliderLabel.HorizontalAlignment = 'right';

app.stddeviationSliderLabel.Position = [131 112 78 22];

app.stddeviationSliderLabel.Text = 'std. deviation';

% Create stddeviationSlider

app.stddeviationSlider = uislider(app.UIFigure);

app.stddeviationSlider.Limits = [0 5];

app.stddeviationSlider.ValueChangedFcn = createCallbackFcn(app, @stddeviationSliderValueChanged, true);

app.stddeviationSlider.Position = [230 121 150 3];

app.stddeviationSlider.Value = 1;

% Show the figure after all components are created

app.UIFigure.Visible = 'on';

end

end

% App creation and deletion

methods (Access = public)

% Construct app

function app = normalApp

% Create UIFigure and components

createComponents(app)

% Register the app with App Designer

registerApp(app, app.UIFigure)

% Execute the startup function

runStartupFcn(app, @startupFcn)

if nargout == 0

clear app

end

end

% Code that executes before app deletion

function delete(app)

% Delete UIFigure when app is deleted

delete(app.UIFigure)

end

end

end

Design View:

Laboratory Activtiy - App Designer Exercise Develop a program that can plot the graph of normal distribution interactively as shown in the figure: MATLAB App Normal Distribution > 0.5 0 -10 -5 5 10 mean -10 -6 -2 2 6 10 std. deviation 0 1 2 3 4 5 !" The normal distribution can be expressed as: p(2) VT exp-0.5 5(*^)) Functionality 1. Upon the start of the app, it should automatically display the normal distribution. o Default value of mean is 0, while std. deviation is 1 O YLim of UlAxes is fixed from 0 to 1 o XLim of UlAxes is fixed from - 10 to 10 The title is "Normal Distribution" 2. The figure must be updated automatically after sliding the meanSlider 3. The figure must be updated automatically after sliding the stddeviation Slider Variable Name Convention: Name Description meanSlider Describes the slider for changing the value of mean stddeviationSlider Describes the slider for changing the value of std. deviation UIAxes It handles the display of the figure app.x Handles the arrays of app.p Handles the calculated y for each element in app.x Design View Code View Component Browser Search normalApp app.UlFigure app.stddeviation Slider app.meanSlider app.UlAxes AppCallbacks Normal Distribution Search SHARING DETAILS > 0.5 Name tutorial App Version 1.0 0 0.2 0.4 0.6 0.8 1 Author Summary Description mean CODE OPTIONS -10 -2 6 10 Single Running Instance Input Arguments std. deviation 0 4