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What are the advantages of a closed question? A. Closed questions allow the respondent to go in-depth with their answers. B. It is possible to automate the collection of results for closed questions. C. Closed questions allow for new solutions to be introduced. D. It is easy to quantify and compare the results of surveys with closed questions.

Answers

Answer 1

Answer:

Answer:

closed questions are questions with fixed answer options

A. Closed questions allow the respondent to go in-depth with their answers.

no, it is relevant to open questions

B. It is possible to automate the collection of results for closed questions.

yes

C. Closed questions allow for new solutions to be introduced.

no, it allows to collect statistical data but not good for new solutions, it better works with open questions when new ideas, solutions may appear

D. It is easy to quantify and compare the results of surveys with closed questions.

yes

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Please help me with this problem

Answers

I think the answer is A. Hope this help

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Ariel needs $6 pounds of tomatoes to make sauce.How much would that cost

Answers

Answer:

$21 dollars

Step-by-step explanation:

The State Police are trying to crack down on speeding on a particular portion of the Massachusetts Turnpike. To aid in this pursuit, they have purchased a new radar gun that promises greater consistency and reliability. Specifically, the gun advertises ± one-mile-per-hour accuracy 75% of the time; that is, there is a 0.75 probability that the gun will detect a speeder, if the driver is actually speeding. Assume there is a 1% chance that the gun erroneously detects a speeder even when the driver is below the speed limit. Suppose that 72% of the drivers drive below the speed limit on this stretch of the Massachusetts Turnpike. a. What is the probability that the gun detects speeding and the driver was speeding?
b. What is the probability that the gun detects speeding and the driver was not speeding?
c. Suppose the police stop a driver because the gun detects speeding. What is the probability that the driver was actually driving below the speed limit?

Answers

Answer:

a) P(A∩B) = 0.21

b) P(A∩B') = 0.0072

c) P(B'|A)=0.0072/0.2172=0.0331

Step-by-step explanation:

A = the gun will detect a speeder

B = driver is actually speeding

P(A|B) = 0.75

P(A|B')=0.01

P(B') = 0.72

a) by definition

P(A∩B)=P(A|B)*P(B)=0.75*(1-0.72)=0.21

b) by definition

P(A∩B')=P(A|B')*P(B')=0.01*(0.72)=0.0072

by bayes theorem

P(B'|A)=P(A|B')*P(B')/P(A)

by total probability theorem

P(A)=P(A∩B)+P(A∩B')=0.21+0.0072=0.2172

P(B'|A)=0.0072/0.2172=0.0331

Final answer:

The probabilities asked in the question are calculated using basic principles of probability: a) the probability that the radar gun detects speeding and the driver was speeding is 21%, b) the probability that the radar gun detects speeding, and the driver was not speeding is 0.72%, c) given that a driver is stopped because the radar gun detected speeding, the probability that they were actually driving within the speed limit is 3.3%.

Explanation:

The probability of a speed detection can be divided into two different categories – the probability of an accurate detection (where the driver is actually speeding), and a false detection (where the driver is not speeding).

a. The probability that the gun detects speeding and the driver was speeding is calculated by the accuracy of the gun, which is 75%, multiplied by the percentage of drivers that are actually speeding. Given that 28% of the drivers exceed the speed limit (100% - 72% safe drivers), the probability is 0.75*0.28 = 0.21 or 21%.

b. The probability that the gun detects a speeder when the driver is not speeding is calculated by multiplying the probability the gun makes an error (1%) and the chance that the driver is driving within the speed limit (72%). So, 0.01*0.72 = 0.0072 or 0.72%.

c. If the police stop a driver because the gun detects speeding, the probability that the driver was actually driving safely is calculated by taking the probability that the gun gives a false speed reading (0.72%) and dividing it by the total probability that the gun detects a speeding vehicle (accurate detection + false detection = 21% + 0.72% = 21.72%). So, 0.72 / 21.72 = 0.033 or 3.3%.

Learn more about Probability here:

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When Steve woke up his temperature was 102 degrees. Two hours later it was 3 degrees lower. What was his temperature then?

Answers

Answer:

Step-by-step explanation:

102-2=100

100-1=99

102-3=99

His temperature is 99

A men and a women decided to meet at a certain location. If each of them independently arrives at a time uniformly between 12pm and 1pm, find the probability that the first to arrive has to wait longer than 10 mins?