strangerep said:(In any case, you should probably clarify exactly what your lecturer wants -- in writing -- since otherwise it's hard to help you.)
!? I "need to"?? Hmm, we're not here to do your work for you. Bye.kenyanchemist said:Strangerep he needs me to draw the p.d curve... [...]
strangerep said:!? I "need to"?? Hmm, we're not here to do your work for you. Bye.
A probability distribution plot is a graphical representation of the probability distribution of a set of data. It shows the probability of different outcomes occurring for a given variable.
The height of the bars on the plot represents the probability of a particular outcome occurring. The area under the entire curve is equal to 1, representing the total probability of all outcomes. The shape of the curve can indicate the type of probability distribution, such as normal, uniform, or skewed.
A histogram is a graphical representation of the frequency or count of values within a set of data, while a probability distribution plot shows the probability of those values occurring. A histogram displays the actual values, while a probability distribution plot displays the probability of those values occurring.
The main types of probability distribution plots include the normal distribution, which is symmetrical and bell-shaped, the uniform distribution, which has a constant probability for all outcomes, and the skewed distribution, which is asymmetrical and has a longer tail on one side.
Probability distribution plots are used in science to analyze and interpret data, make predictions, and test hypotheses. They are commonly used in fields such as statistics, economics, and psychology to understand and model various phenomena.