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balu736 [363]
4 years ago
9

Parking concerns ~ Over the years, parking has become an issue during spring at MSU as more people bring cars to campus. The wai

ting time to find a parking spot at Wells Hall parking lot is normally distributed with an average of 10 minutes and a standard deviation of 3.6 minutes during peak hours (10 am – 5 pm). What proportion of waiting times are between 8 and 12 minutes? Enter your answer to 4 decimal places.
Mathematics
1 answer:
Ganezh [65]4 years ago
6 0

Answer:

P(8

And we can find this probability with this difference:

P(-0.56

And in order to find these probabilities we can use tables for the normal standard distribution, excel or a calculator.  

P(-0.56

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Solution to the problem

Let X the random variable that represent the waiting time of a population, and for this case we know the distribution for X is given by:

X \sim N(10,3.6)  

Where \mu=10 and \sigma=3.6

We are interested on this probability

P(8

And the best way to solve this problem is using the normal standard distribution and the z score given by:

z=\frac{x-\mu}{\sigma}

If we apply this formula to our probability we got this:

P(8

And we can find this probability with this difference:

P(-0.56

And in order to find these probabilities we can use tables for the normal standard distribution, excel or a calculator.  

P(-0.56

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Fifty-three percent of employees make judgements about their co-workers based on the cleanliness of their desk. You randomly sel
GarryVolchara [31]

Answer:

The unusual X values ​​for this model are: X = 0, 1, 2, 7, 8

Step-by-step explanation:

A binomial random variable X represents the number of successes obtained in a repetition of n Bernoulli-type trials with probability of success p. In this particular case, n = 8, and p = 0.53, therefore, the model is {8 \choose x} (0.53) ^ {x} (0.47)^{(8-x)}. So, you have:

P (X = 0) = {8 \choose 0} (0.53) ^ {0} (0.47) ^ {8} = 0.0024

P (X = 1) = {8 \choose 1} (0.53) ^ {1} (0.47) ^ {7} = 0.0215

P (X = 2) = {8 \choose 2} (0.53)^2 (0.47)^6 = 0.0848

P (X = 3) = {8 \choose 3} (0.53) ^ {3} (0.47)^5 = 0.1912

P (X = 4) = {8 \choose 4} (0.53) ^ {4} (0.47)^4} = 0.2695

P (X = 5) = {8 \choose 5} (0.53) ^ {5} (0.47)^3 = 0.2431

P (X = 6) = {8 \choose 6} (0.53) ^ {6} (0.47)^2 = 0.1371

P (X = 7) = {8 \choose 7} (0.53) ^ {7} (0.47)^ {1} = 0.0442

P (X = 8) = {8 \choose 8} (0.53)^{8} (0.47)^{0} = 0.0062

The unusual X values ​​for this model are: X = 0, 1, 7, 8

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4 years ago
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Ellus
butalik [34]

9514 1404 393

Answer:

  2.25

Step-by-step explanation:

Add the square of half the x-coefficient to complete the square.

  (-3/2)² = 9/4 = 2.25

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