Sample 14 : Which other item(s) is/are characteristic(s) of this sample? a. stains the fingers b

Sample 14 : Which other item(s) is/are characteristic(s) of...

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Key Concepts

Physical Properties

Physical properties refer to the measurable characteristics of a material, such as hardness, texture, and staining capabilities. In forensic science, assessing a sample’s physical attributes is crucial for identification and comparison, as these observable qualities help narrow down the material’s origins.

Forensic Material Analysis

Forensic material analysis involves examining and testing a substance to determine its composition, origin, and potential links to a criminal investigation. By evaluating both chemical and physical properties, forensic experts can compare evidence and reconstruct events related to a crime.

Comparative Analysis

Comparative analysis in the forensic context is the process of comparing the characteristics of a sample with known standards or other evidence. This method allows investigators to establish relationships between different pieces of evidence by matching their physical properties, thereby providing support for linking materials to specific sources or activities.

Transcript

00:01 Okay, question 34 asks what seems like an obvious question, but there's a little bit to think about here to begin to get really confident with our vocabulary and some core ideas.

00:14 Question just asks, what is simple random sampling? and you might think, well, how is this different from the probability sampling we discussed in question 33? probability sampling focuses on the idea that each member of the population has an equal chance of being chosen.

00:34 Simple random sampling focuses on the definition that each sample has an equal chance of being chosen.

00:43 So let's make sure you understand how that definition works.

00:47 Let's, this is really simple example.

00:51 Imagine that this is my population.

00:54 Okay? and that my sample wants to be of size two.

01:00 So i want to select two letters out of the population of these six.

01:06 So the various samples could be a, b, a, c, a, d.

01:12 You get the idea, on and on, b, f, d, okay? you get the idea.

01:18 There's several of them.

01:19 The point in this definition of simple random sampling is that any one of these sample sets, you see it altogether, has an equal chance of being chosen.

01:36 And so then in part b, the simple random sample is a sample chosen in such a way that it was as equally likely as any other sample.

01:50 Okay...

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