How to plot log-normal probability with x and y values?

Good day everyone. is anyone know how to plot log-normal probability having x and y values? your response is highly appreciated. this will help me a lot.

example of value of x and y is

x = [ 44 38 36 35 27 26.5 26 26 24 23.5 23 23 21 20.5 19.5 19 19 19 19 19 18 18 17.6 17 17 17 16 16 16 16 14.5 14 13 11 11 10 9 8.5 ]

y = [ 0.025641 0.051282 0.076923 0.102564 0.128205 0.153846 0.179487 0.205128 0.230769 0.25641 0.282051 0.307692 0.333333 0.358974 0.384615 0.410256 0.435897 0.461538 0.487179 0.512821 0.538462 0.564103 0.589744 0.615385 0.641026 0.666667 0.692308 0.717949 0.74359 0.769231 0.794872 0.820513 0.846154 0.871795 0.897436 0.923077 0.948718 0.974359 ]

This picture is an example of outcome that im working out.

Hoping for your response. Thank you so much

Answer 1

[KALYAN ACHARJYA]

Based on the data provided by you, it shows the following plot.

x=[44  38  36  35  27  26.5  26  26  24  23.5  23  23  21  20.5  19.5  19  19  19  19  19  18  18  17.6  17  17  17  16  16  16  16  14.5  14  13  11  11  10  9  8.5 ]
y=[0.025641  0.051282  0.076923  0.102564  0.128205  0.153846  0.179487  0.205128  0.230769  0.25641  0.282051  0.307692  0.333333  0.358974  0.384615  0.410256  0.435897  0.461538  0.487179  0.512821  0.538462  0.564103  0.589744  0.615385  0.641026  0.666667  0.692308  0.717949  0.74359  0.769231  0.794872  0.820513  0.846154  0.871795  0.897436  0.923077  0.948718  0.974359]
plot(x,y);
ylabel('Non Exceeded Probability');
xlabel('Rainfall');
title('Probaility Plot');
grid on;
xlim([0 100]);

[Warda Panondi]

I really appreciate your answer. Thank you so much.

Im looking for the log normal probability plot, as shown picture i attached. that the grid lines is unsymmetrical.

x=[ 44 38 36 35 27 26.5 26 26 24 23.5 23 23 21 20.5 19.5 19 19 19 19 19 18 18 17.6 17 17 17 16 16 16 16 14.5 14 13 11 11 10 9 8.5 ]

y = [ 0.974359 0.974359 0.974359 0.974359 0.974359 0.974359 0.974359 0.974359 0.974359 0.974359 0.974359 0.974359 0.974359 0.974359 0.974359 0.974359 0.974359 0.974359 0.974359 0.974359 0.974359 0.974359 0.974359 0.974359 0.974359 0.974359 0.974359 0.974359 0.974359 0.974359 0.974359 0.974359 0.974359 0.974359 0.974359 0.974359 0.974359 0.974359 ]

Note: i edited the y values

Best Regards,

Warda