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Black_prince [1.1K]
3 years ago
7

The length of time before a seed germinates when falling on fertile soil is approximately Normally distributed with a mean of 60

0 hours and a standard deviation of 100 hours. What is the probability that a seed will take more than 720 hours before germinating? Round to two decimal places.
a. 0.16
b. 0.12
c. 0.88
d. 0.997
Mathematics
1 answer:
PIT_PIT [208]3 years ago
4 0

Answer:

b. 0.12

Step-by-step explanation:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this problem, we have that:

\mu = 600, \sigma = 100

What is the probability that a seed will take more than 720 hours before germinating?

This is 1 subtracted by the pvalue of Z when X = 720. So

Z = \frac{X - \mu}{\sigma}

Z = \frac{720 - 600}{100}

Z = 1.2

Z = 1.2 has a pvalue of 0.88.

1 - 0.88 = 0.12

So the correct answer is:

b. 0.12

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Please answer this!
Talja [164]

We have been given that a graph that represents the amount of money in dollars that Tony expects to deposit in his account in terms of the number of years since opening the account.

We are asked to find the rate of change and initial value from our given graph.

We know that initial value is the point, where, graph intersects y-axis that is when x is equal to 0.

We can see that graph starts at 5000 on y-axis, therefore, initial value is $5000.

The rate of change will be equal to slope of line. Let us find slope of line using points (0,5000) and (1,7500).

m=\frac{7500-5000}{1-0}

m=\frac{2500}{1}

m=2500

Therefore, the rate of change is $2500 per year.

The equation y=2500x+5000 represents the amount of money in dollars that Tony expects to deposit in his account.

5 0
4 years ago
tres amigos reinaldo, yasir y jefferson tienen como profesiones medico, ingeniero y profesor, sin que sepamos cual de ellas corr
zimovet [89]

Answer:

Reinaldo es ingeniero

Step-by-step explanation:

Por los datos del problema sabemos que Jeferson es casado. También sabemos que el profesor se casará pronto, así que:

Jeferson no es profesor

Reinaldo debe tomar el metro para visitar al médico, así que no es vecino de ninguno. Como el médico y el profesor son vecinos, entonces Reinaldo no es médico ni profesor, asi que

Reinaldo es ingeniero

Podemos saber además que si Jeferson no es profesor (ya demostrado) ni tampoco es ingeniero, entonces

Jeferson es médico

Por descarte, Yasir es profesor

4 0
4 years ago
Bad gums may mean a bad heart. Researchers discovered that 81% of people who have suffered a heart attack has periodontal diseas
IgorC [24]

Answer:

0.405 or 40.5%

Step-by-step explanation:

Let event A=having a periodontal disease

event B=having a heart attack

we are given

P(A)=P(having a periodontal disease)=0.30

P(B)=P(having a heart attack)=0.15

P(A/B)=P(have a periodontal disease/have a heart attack)=0.81

P(B/A)=P(have a heart attack/have a periodontal disease)=?

P(A/B)=P(A∩B)/P(B)

P(A∩B)=P(B)*P(A/B)=0.15*0.81=0.1215

P(B/A)=P(A∩B)/P(A)=0.1215/0.3=0.405

There is 40.5% probability that if someone has periodontal disease will have a heart attack.

7 0
3 years ago
What are the solutions for 2x^2-8x-90
kotykmax [81]

Answer: x = 9

x = -5

Step-by-step explanation:

4 0
3 years ago
The number of chocolate chips in an​ 18-ounce bag of chocolate chip cookies is approximately normally distributed with a mean of
Svetach [21]

Answer:

(a) P(1000 < X < 1500) = 0.0256

(b) P(X < 1025) = 0.0392

(c) P(X > 1200) = 0.6554

(d) Percentile rank of a bag that contains 1425 chocolate​ chips = 90.98%

Step-by-step explanation:

We are given that the number of chocolate chips in an​ 18-ounce bag of chocolate chip cookies is approximately normally distributed with a mean of 1252 chips and standard deviation 129 chips.

Firstly, Let X = number of chocolate chips in a bag

The z score probability distribution for is given by;

         Z = \frac{ X - \mu}{\sigma} ~ N(0,1)

where, \mu = population mean = 1252 chips

           \sigma = standard deviation = 129 chips

(a) Probability that a randomly selected bag contains between 1000 and 1500 chocolate​ chips, inclusive is given by = P(1000 \leq X \leq 1500) = P(X \leq 1500) - P(X < 1000)

 P(X \leq 1500) = P( \frac{ X - \mu}{\sigma} \leq \frac{1500-1252}{129} ) = P(Z \leq 1.92) = 0.9726

 P(X < 1000) = P( \frac{ X - \mu}{\sigma} < \frac{1000-1252}{129} ) = P(Z < -1.95) = 1 - P(Z \leq 1.95)

                                                       = 1 - 0.9744 = 0.0256

Therefore, P(1000 \leq X \leq 1500) = 0.9726 - 0.0256 = 0.947

(b) Probability that a randomly selected bag contains fewer than 1025 chocolate​ chips is given by = P(X < 1025)

   P(X < 1025) = P( \frac{ X - \mu}{\sigma} < \frac{1025-1252}{129} ) = P(Z < -1.76) = 1 - P(Z \leq 1.76)

                                                          = 1 - 0.9608 = 0.0392

(c) Proportion of bags contains more than 1200 chocolate​ chips is given by = P(X > 1200)

    P(X > 1025) = P( \frac{ X - \mu}{\sigma} > \frac{1200-1252}{129} ) = P(Z > -0.40) = P(Z < 0.40) = 0.6554

(d) <em>Percentile rank of a bag that contains 1425 chocolate​ chips is given by;</em>

Firstly we will calculate the z score of 1425 chocolate chips, i.e.;

                Z = \frac{1425-1252}{129} = 1.34

Now, we will check the area probability in z table which corresponds to this critical value of x;

The value which we get is 0.9098.

Therefore, 90.98% is the rank of bag that contains 1425 chocolate​ chips.                                                    

8 0
4 years ago
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