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dangina [55]
3 years ago
11

The probability of choosing a rotten apple from the bag of apples is 4/5. Which term best describes this probability

Mathematics
2 answers:
Masteriza [31]3 years ago
7 0

Answer: likely


Step-by-step explanation:

We know that the probability of any event lies between 0 and 1.

If probability of occurring event is 0 then the event is impossible.

If probability of occurring any event is 1 then the event certain.

If probability of occurring any event lies between 0.5 or \frac{1}{2} and 1 then the event is said to be likely.

If probability of occurring any event lies between 0 and 0.5 or \frac{1}{2} then the event is said to be unlikely.

Given, The probability of choosing a rotten apple from the bag of apples is 4/5.

Since 4/5 is between 0.5 or \frac{1}{2} and 1 then the event is said to be likely.

gogolik [260]3 years ago
4 0
I would say it is likely
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The number of texts per day by students in a class is normally distributed with a 
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Answer:

1, 2, 6

Step-by-step explanation:

The z score shows by how many standard deviations the raw score is above or below the mean. The z score is given by:

z=\frac{x-\mu}{\sigma} \\\\where\ x=raw\ score,\mu=mean, \ \sigma=standard\ deviation

Given that mean (μ) = 130 texts, standard deviation (σ) = 20 texts

1) For x < 90:

z=\frac{x-\mu}{\sigma} \\\\z=\frac{90-130}{20} =-2

From the normal distribution table, P(x < 90) = P(z < -2) = 0.0228 = 2.28%

Option 1 is correct

2) For x > 130:

z=\frac{x-\mu}{\sigma} \\\\z=\frac{130-130}{20} =0

From the normal distribution table, P(x > 130) = P(z > 0) = 1 - P(z < 0) = 1 - 0.5 = 50%

Option 2 is correct

3) For x > 190:

z=\frac{x-\mu}{\sigma} \\\\z=\frac{190-130}{20} =3

From the normal distribution table, P(x > 3) = P(z > 3) = 1 - P(z < 3) = 1 - 0.9987 = 0.0013 = 0.13%

Option 3 is incorrect

4)  For x < 130:

z=\frac{x-\mu}{\sigma} \\\\z=\frac{130-130}{20} =0

For x > 100:

z=\frac{x-\mu}{\sigma} \\\\z=\frac{100-130}{20} =-1.5

From the normal table, P(100 < x < 130) = P(-1.5 < z < 0) = P(z < 0) - P(z < 1.5) = 0.5 - 0.0668 = 0.9332 = 93.32%

Option 4 is incorrect

5)  For x = 130:

z=\frac{x-\mu}{\sigma} \\\\z=\frac{130-130}{20} =0

Option 5 is incorrect

6)  For x = 130:

z=\frac{x-\mu}{\sigma} \\\\z=\frac{160-130}{20} =1.5

Since 1.5 is between 1 and 2, option 6 is correct

5 0
3 years ago
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