Answer:
Inductive reasoning
Explanation:
Inductive reasoning refers to a specific type of logical thinking that involves forming generalizations based on specific incidents you've experienced or observations you've made. This specific incidents or observations make the person generalize thinking the whole should be similar to the specific part that the person has witnessed.
In this example, Bertha met two students from another school and was impressed with how nice they were. Bertha now believes that all of the students from that school must also be nice. <u>Bertha made an observation on two specific students of the school and now she is generalizing her observations thinking ALL the students from that school must be nice</u>. Thus, Bertha is using inductive reasoning.
In logic, an entailment is the relationship between sentences whereby one sentence will be true if all the others are also true. Want a less-dry-sounding, real-life example? How about this: Being a good student, for instance, is an entailment of attending classes, learning the material, and keeping up with assignments. An old-fashioned definition of entailment is a set of limitations that restrict the ways property can be bequeathed to heirs.
The standard deviation is a measure of how far away from the mean each observation deviates from the mean.
What is the standard deviation?
- The standard deviation is a statistic that expresses how much variance or dispersion there is in a group of numbers.
- While a high standard deviation suggests that the values are dispersed over a wider range, a low standard deviation suggests that the values tend to be close to the mean (also known as the anticipated value) of the collection.
- Standard deviation is most usually denoted in mathematical literature and equations by the lowercase Greek letter (sigma), which stands for the population standard deviation, or by the Latin sign s, which stands for the sample standard deviation. The abbreviation for
- standard deviation
- is SD.
- The mean and standard deviation of a normal distribution are both zero.
The mean would be 5 x 0 + 8 = 8.
The standard deviation would be 5 x 1 = 5.
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