A Summary of common distributions

Figure A.1: A Uniform(0, 1) distribution spinner. The values in the picture are rounded to two decimal places, but in the idealized model the spinner is infitely precise so that any real number between 0 and 1 is a possible value.

$An Exponential(1) distribution spinner. The values in the picture are rounded to two decimal places, but in the idealized model the spinner is infitely precise so that any real number between 0 and $\infty$ is a possible value. The spinner is duplicated on the right; the highlighted sectors illustrate the non-linearity of axis values and how this corresponds to the cdf $F_X(x)=1-e^{-x}, x>0$.$ $An Exponential(1) distribution spinner. The values in the picture are rounded to two decimal places, but in the idealized model the spinner is infitely precise so that any real number between 0 and $\infty$ is a possible value. The spinner is duplicated on the right; the highlighted sectors illustrate the non-linearity of axis values and how this corresponds to the cdf $F_X(x)=1-e^{-x}, x>0$.$

Figure A.2: An Exponential(1) distribution spinner. The values in the picture are rounded to two decimal places, but in the idealized model the spinner is infitely precise so that any real number between 0 and $\infty$ is a possible value. The spinner is duplicated on the right; the highlighted sectors illustrate the non-linearity of axis values and how this corresponds to the cdf $F_X(x)=1-e^{-x}, x>0$.