WGU Academy Statistics Module 5

WGU Academy Statistics Module 00 00 00




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1.Producing data: how data are obtained, and what considerations affect 00 00 00 00 00 00 00 00 00 00



the data production process.
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2.Exploratory data analysis: tools that help us get a first feel for the d 00 00 00 00 00 00 00 00 00 00 00 00 00



ata, by exposing their features using graphs and numbers.
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3.probability: likelihood that a particular event will occur 00 00 00 00 00 00 00



4.Probability is a measure of how likely an event is to occur. Choose the 00 00 00 00 00 00 00 00 00 00 00 00 00



probability that best matches each of the following statements:
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(a) This event is impossible: 00 00 00




(b) This event will occur more often than not, but is not extremely likely:
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(c) This event is extremely unlikely, but it will occur once in a while in a long
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sequence of trials:
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(d) This event will occur for sure:: a: 0 - 00 00 00 00 00 00 00 00



A probability of 0 represents an event that can never occur.
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b: 0.60 - 00 00



A probability of 0.60 represents an event that will occur more often than n
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ot. Specifically, it will occur almost two-thirds (0.67) of the time.
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c: 0.01 - 00 00



A probability of 0.01 represents an event that is VERY unlikely, but is stil
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possible.
d: 1 - A probability of 1 represents an event that will occur for certain.
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5.The probability that an event will occur is between 0 and 1 or 0 dP(A) d1 . M
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any people prefer to express probability in percentages. Since all probabiliti
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es are decimals, each can be changed to an equivalent percentage. Thus, th
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e latest principle is equivalent to saying, "The chance that an event will occu
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r is between 0% and 100%.":
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6.Theoretical (also known as Classical): Classical methods are used for ga 00 00 00 00 00 00 00 00 00 00



mes of chance, such as flipping coins, rolling dice, spinning spinners, rou
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lette wheels, or lotteries. 00 00 00




flipping a coin, rolling dice, spinning spinners, roulette wheels, lotteries.
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7.Empirical (also known as Observational): 00 00 00 00



8.Flipping a Fair Coin: Thus, P(heads) = P(tails) = 1/2 or 0.5. Letting H re
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present "heads," we can abbreviate the probability: P(H) = 0.5.
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9.Rolling Fair Dice: Each traditional (cube- 00 00 00 00 00



shaped) die has six sides, marked in dots with the numbers 1 through 6.
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0On a "fair" die, these numbers are equally likely to end up face-
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100/00
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, WGU Academy Statistics Module
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5
up when the die is rolled. Thus, P(1) = P(2) = P(3) = P(4) = P(5) = P(6)
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= 1/6 or about 0.167.
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200/00
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