Introduction to Probability · 免费预览

样本空间与事件

实验、结果和事件是概率学的原材料,而样本空间则是所有可能答案的精确全域。

1. Why probability needs a universe of outcomes

Why probability needs a universe of outcomes

2. Pebble World and events

Pebble World and events

3. Describing events precisely

Describing events precisely

4. Counting the rooms in the universe

Counting the rooms in the universe

5. Reading an event as a set

A coin is tossed three times and the sample space lists ordered results such as HTHHTH. Which subset is the event not all three tosses agree?

6. Choosing a sample space

Two cards are drawn one after another from a standard deck and you care about the values in the order drawn. Which sample space is appropriate?

7. De Morgan practice

By De Morgan's laws, the event that it is false that (the alarm rings AND the dog barks) equals the event that the alarm does something OR the dog does something. In symbols, (A∩B)c=Ac □ Bc(A \cap B)^c = A^c \,\square\, B^c where □\square is the union or intersection symbol written as a word, either union or intersection. Enter that word.

8. Size of a coin toss space

A coin is tossed 8 times and the full outcome records every toss in order, like HTTHHTHTHTTHHTHT. How many outcomes does this sample space contain? Enter the integer.

9. Complements of sums

Two dice are rolled and you want the number of outcomes where the sum is NOT 7. Out of the 36 ordered outcomes, how many have a sum different from 7? Enter the integer.

10. In your own words

In your own words, state the most important definition, theorem or method of this lesson and explain what it says.

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