*not*a a watch thief! She introduced me to the idea of the chi-square test being like a trial.) I think this example is effective in helping students think about the

**null hypothesis**and the concept of

**significance**.

### The Case of the Fancy Watch

*significant*evidence against that person must be presented. In a courtroom there is a null hypothesis:

null hypothesis (H

_{0}) = The suspect is innocent.The prosecutor will present evidence against the null hypothesis (i.e. trying to show that the suspect is guilty). The jury will decide if the evidence against the suspect is

*significant*.

Let's say a robbery has taken place at a fancy store…a jewel-encrusted Piaget watch has been stolen! Soon after, a suspect is arrested and brought to court. The evidence against him is simple; when the police found him he was

*WEARING*a jewel-encrusted Piaget watch! The jury must consider this question…What is the chance that this person is innocent (the null hypothesis is true) given that he was wearing a jewel-encrusted Piaget watch?

image source: piaget.com |

**significant**. Looking at it another way…the chance that he is innocent and wearing jewel-encrusted Piaget watch is just 1 in 1000 or (0.001). The jury would probably find him guilty (i.e. they would REJECT the null hypothesis.)

But what if, in this particular town,

*75%*of people were walking around wearing jewel-encrusted Piaget watches. Now the case against the suspect isn't very strong. The fact that he was found wearing a jewel-encrusted Piaget watch is

**nonsignificant**. Saying it another way…there is a 75% chance that the suspect is innocent and wearing a Jewel-encrusted Piaget watch just by coincidence! The jury would most likely NOT reject the null hypothesis and find the suspect not guilty.

Put yourself on that jury…at what point would you be comfortable rejecting the null hypothesis and convicting the suspect? What if 10% of people in the town wore jewel-encrusted Piaget watches? What about 1%? At what point would the evidence (the suspect was wearing a watch) become

**significant**?

In a scientific study, the cut off for significance is 5% (in our courtroom, the jury would reject the null hypothesis and convict the suspect if the chance that he is innocent

*and*wearing a fancy watch is 0.05 or lower.)

In part 2 of this post I'll provide some examples I like for introducing the chi-square calculations. Thanks for reading!

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ReplyDeleteActually, a courtroom can serve as a useful comparison for how scientists make decisions. Significant evidence must be produced against a defendant before a conviction can be decided.

ReplyDeleteThis is an interesting article. I never knew that a chi-square test could be used to commit a crime! I wonder if this is something that is done often, or if it's just a one-time thing.

ReplyDeleteThis article is fascinating. I had no idea that a chi-square test might be employed in a criminal offence! Before a conviction may be decided, substantial evidence must be presented against the offender.

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ReplyDeleteTo put it another way, there is a 75% chance that the suspect is innocent and is simply wearing a jewel-encrusted Piaget watch by do my teas exam help chance! The jury would most likely NOT reject the null hypothesis and find the suspect not guilty.

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ReplyDeleteFascinating read! The concept of utilizing a chi-square test for criminal activities is entirely new to me. I'm curious about the frequency of such occurrences—whether it's a common practice or an isolated incident. It sparks intrigue to explore further into the application of statistical methods in unexpected domains.

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