1answer.
Ask question
Login Signup
Ask question
All categories
  • English
  • Mathematics
  • Social Studies
  • Business
  • History
  • Health
  • Geography
  • Biology
  • Physics
  • Chemistry
  • Computers and Technology
  • Arts
  • World Languages
  • Spanish
  • French
  • German
  • Advanced Placement (AP)
  • SAT
  • Medicine
  • Law
  • Engineering
Gnoma [55]
3 years ago
7

A veterinary researcher takes an SRS of 60 horses presenting with colic whose average age is 12 years. The average age of all ho

rses seen at the veterinary clinic was determined to be 10 years. The researcher also determined that the standard deviation of horses coming to the veterinary clinic is 8 years. The probability that a sample mean is 12 or larger for a sample from the horse population is:
Mathematics
1 answer:
frosja888 [35]3 years ago
7 0

Answer:

the probability of that the sample mean will have 12year or larger is 0.4013, .

Step-by-step explanation:

The probability that a sample mean is 12 or larger for a sample from the horse population is:

Given,

N, number of sample =60 horses

x₁, variate mean= 12 years.

x, mean age = 10 years.

σ, standard deviation = 8 years.

To calculate for the probability, we are going to use the formula of normal distribution.

normal distribution is calculated by:

z=[ x₁−x]/ σ

where z is called the normal standard variate,

x₁ is the value of the variable,

x is the mean value of the distribution and

σ is the standard deviation of the distribution.

The z-value corresponding to 12year is

z=[ x₁−x]/ σ

z=[12 −10]/ 8 =2/8=0.25

we will use the table of normal distribution to find the corresponding z value.

From Table of z, the area corresponding to a z-value of 0.25 is 0.0987.

The total area under the standardized normal curve is unity and since the curve is symmetrical,

The area to the right of the z=0.25 ordinate is 0.5000−0.0987= 0.4013.

Thus, the probability of the sample mean is 0.4013, for 60 horses, it is likely that 60 * 0.4013 =24.08 = 24 horses will have 12year or larger.

You might be interested in
192/38 with remanders
guapka [62]

Answer:

5 Remainder 2

3 0
2 years ago
Read 2 more answers
The temperature in an oven changes from 350 degrees to 362% What is the percent increase in temperature, to the nearest tenth of
Darya [45]

Answer:

3.43%

Step-by-step explanation:

362-350=12

12:350*100 =

(12*100):350 =

1200:350 = 3.43

3 0
3 years ago
Can you plz smile for me?
klio [65]

Answer:

°u°

Step-by-step Explanation

3 0
2 years ago
Read 2 more answers
Which functions have a y-intercept that is greater than the y-intercept of the function g(x) = |x + 3| + 4? Check three
Marina CMI [18]

Answer:

A

Step-by-step explanatio

If i were to give my judge on this <9M+13=5^9

7 0
2 years ago
a survey amony freshman at a certain university revealed that the number of hours spent studying the week before final exams was
Marat540 [252]

Answer:

Probability that the average time spent studying for the sample was between 29 and 30 hours studying is 0.0321.

Step-by-step explanation:

We are given that the number of hours spent studying the week before final exams was normally distributed with mean 25 and standard deviation 15.

A sample of 36 students was selected.

<em>Let </em>\bar X<em> = sample average time spent studying</em>

The z-score probability distribution for sample mean is given by;

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

where, \mu = population mean hours spent studying = 25 hours

            \sigma = standard deviation = 15 hours

            n = sample of students = 36

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) 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.

Now, Probability that the average time spent studying for the sample was between 29 and 30 hours studying is given by = P(29 hours < \bar X < 30 hours)

    P(29 hours < \bar X < 30 hours) = P(\bar X < 30 hours) - P(\bar X \leq 29 hours)

      

    P(\bar X < 30 hours) = P( \frac{ \bar X-\mu}{\frac{\sigma}{\sqrt{n} } }} } < \frac{ 30-25}{\frac{15}{\sqrt{36} } }} } ) = P(Z < 2) = 0.97725

    P(\bar X \leq 29 hours) = P( \frac{ \bar X-\mu}{\frac{\sigma}{\sqrt{n} } }} } \leq \frac{ 29-25}{\frac{15}{\sqrt{36} } }} } ) = P(Z \leq 1.60) = 0.94520

                                                                    

<em>So, in the z table the P(Z </em>\leq<em> x) or P(Z < x) is given. So, the above probability is calculated by looking at the value of x = 2 and x = 1.60 in the z table which has an area of 0.97725 and 0.94520 respectively.</em>

Therefore, P(29 hours < \bar X < 30 hours) = 0.97725 - 0.94520 = 0.0321

Hence, the probability that the average time spent studying for the sample was between 29 and 30 hours studying is 0.0321.

7 0
2 years ago
Other questions:
  • For the data in the table does Y very directly with X
    14·1 answer
  • Which classification best describes the following system of equations?
    13·2 answers
  • If y varies directly as x, and y = 14 as x = 7, find y for the x-value of 10
    8·1 answer
  • The graph of the function f(x)= 2x is shown. The inverse is also a function. If the domain of the inverse is the range values of
    15·2 answers
  • ellie wanted to order candy online. company A us offering 2 1/2 pounds of chocolate for $32.50; while company B is offering 2 3/
    9·1 answer
  • What is 187 divided by 9
    10·2 answers
  • Introduction to the Quadratic Formula
    8·1 answer
  • Are the ratios 4:18 and 2:9 equivalent?<br> yes<br> no
    8·2 answers
  • Pls help (pic above)
    5·2 answers
  • Can someone please answer this correct?
    9·2 answers
Add answer
Login
Not registered? Fast signup
Signup
Login Signup
Ask question!