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Ilia_Sergeevich [38]
2 years ago
10

Your marketing agency wants to send a survey to 500 people. You desire the respondents to represent the full range of incomes un

der $100,000 per year. You are authorized to purchase 500 names chosen at random from 1 of the following 3 databases. Which database is most likely to fit your needs, and why? Income distribution Database 1 Database 2 Database 3 Mean $25,625 $49,205 $88,340 Standard deviation $15,990 $25,485 $35,870 Database 1, because its mean is farthest from the limit of $100,000 Database 1, because its standard deviation is smallest and so the data are most focused Database 2, because its mean is centered between $0 and $100,000 Database 3, because its mean is closest to $100,000 Database 3, because its standard deviation is largest
Mathematics
2 answers:
Ede4ka [16]2 years ago
7 0

Answer:

Database 2  is most likely to fit needs as it has maximum % of people lying in Range and mean is centered

kakasveta [241]2 years ago
5 0

Answer:

Database 2, because its mean is centered between $0 and $100,000

Step-by-step explanation:

You desire the respondents to represent the full range of incomes under $100,000 per year. Then, database 2 is the one best fit this criteria, because is centered between $0 and $100,000, so there are more chances to select people from here which satisfy the desired criteria. In database 1 there are few people with salaries near $100,000, and in database 3  there are few people with salaries near $0

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Answer:

  8/11

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Only 3 of the nickels are neither dimes nor Canadian. The other 8 of 11 coins are dimes or Canadian. The probability of choosing one of them at random is 8/11.

8 0
2 years ago
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In general, the probability that it rains on Saturday is 25%. If it rains on Saturday, the probability that it rains on Sunday i
lora16 [44]

Answer:

40%

Step-by-step explanation:

From the given statements:

The probability that it rains on Saturday is 25%.

P(Sunday)=25%=0.25

Given that it rains on Saturday, the probability that it rains on Sunday is 50%.

P(Sunday|Saturday)=50%=0.5

Given that it does not rain on Saturday, the probability that it rains on Sunday is 25%.

P(Sunday|No Rain on Saturday)=25%=0.25

We are to determine the probability that it rained on Saturday given that it rained on Sunday, P(Saturday|Sunday).

P(No rain on Saturday)=1-P(Saturday)=1-0.25=0.75

Using Bayes Theorem for conditional probability:

P(Saturday|Sunday)=\frac{P(Sunday|Saturday)P(Saturday)}{P(Sunday|Saturday)P(Saturday)+P(Sunday|No Rain on Saturday)P(No Rain on Saturday)}

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There is a 40% probability that it rained on Saturday given that it rains on Sunday.

5 0
2 years ago
Answer the following question. Click on symbol to choose correct answer. Given: R = {(x, y): y = -x^2} What is the range of R? y
3241004551 [841]

Answer: c

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3 0
2 years ago
The tuition costs, C, for a local community college are modeled by C(h) = 250 + 200h, where h represents the number of credit ho
pochemuha

Answer:

2.5

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Jose ran13 mile in 3 minutes and 15 seconds. Calculate Jose's rate in minutes per mile; in other words, the time that it would t
Alexus [3.1K]

Answer:

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Step-by-step explanation:

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then

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every minute Jose ran 4 miles

then:

4 miles is a 1 minute

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T = 1/4 minute

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2 years ago
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