This is my colleagues post. Respond to one or more of the following ways listed below.

I used the phrase "how to teach probability" in my search

engine and found this demonstration: Dice Addition. A brief description would be a die

has 6 sides and six numbers. Therefore, there's a one in six chance or probability of

16.66% rolling a number prechosen correctly. Each of the dies represents "random

sampling". Random sampling is defined as each score having an equal probability of

being chosen (Economic Times, 2022).

The probability factor can be calculated by repeating the throws of the dice and

recording the outcomes. Each toss is one score, adding the number of scores will give

you N, and the outcomes will give you the frequencies. The probability distribution is a

representative sample of the whole population (Heiman, 2015).

Since I chose the Dice Addition, my third and final concept/term is the

"Gambler's Fallacy". The gambler's fallacy is an individual's belief that a certain random

event is more likely based on an outcome of a previous event (Kenton, 2021). A

random sample can be attained by throwing the die multiple times, then recording both

the scores and attaining thefrequency. Finally, we can take the frequency and divide it

by N to create the probability of distribution. The Gambler's Fallacy can be shown as

less accurate or dependable.

I believe this exercise reinforced the basic concepts exposed to in earlier weeks.

The formulasare becoming more familiar and less intimidating.

References:

Heiman, G. (2015). Behavioral sciences STAT(2nd ed.). Stamford, CT: Cengage.

Kenton, W. (2021). What is the Gambler's Fallacy? Investopedia

https://www.investopedia.com/terms/g/gamblersfallacy.asp

(2022, December 13) English Edition. Definitions. The Economic Times.

https://economictimes.indiatimes.com/random-samplingLinks to a

Respond to my colleagues post. Respond in one or more of the ways listed below: Above is my colleagues post,

• Explain how the example your colleague chose could be used to demonstrate one additional feature of statistical probability not discussed in their initial post
• A description of how the example your colleague chose strengthened your understanding of statistical probability.
• Ask a probing question about your colleague's chosen probability demonstration or example and provide the foundation or rationale for the question.

Support your reply with at least one reference (textbook or other scholarly, empirical resources). You may state your opinion and/or provide personal examples; however, you must also back up your assertions with evidence (including in-text citations) from the source and provide a reference.