### Question details

HOMEWORK: SAMPLING DISTRIBUTIONS
\$ 7.00

HOMEWORK: SAMPLING DISTRIBUTIONS

Student Name:  _________________________________

Example 1

• Consider the relation between standard deviation of the sample and standard deviation of the population

• Be sure you understand the meaning of each variable.
• Identify the given variables:

mean

standard deviation of the population

size of the sample

• With the given values you can compute the standard deviation of the mean.

Example 2

• Consider the definition of z

Z =

• Consider the relation between standard deviation of the sample and standard deviation of the population

• Identify the given variables
• need to convert from the population standard deviation to standard deviation of the mean.

Note: We consider the mean sample to be equal to the mean of the origin population.

• Find Z (for the given X)
• Find area under the curve
• Compute the final answer. Keep in mind that you need the likelihood for or more than “ X”  hours.

Keep in mind that not all problems or sub-problems use a sample.

PROBLEM 1 (10 points):

A laptop manufacturer finds that the average time it takes an employee to load a laptop with software is 40 minutes with a standard deviation 15 minutes.  Suppose you take a random sample of 49 employees. The standard deviation of the sample mean is:

 Standard Deviation

PROBLEM 2 (15 points) :

A company that manufactures bookcases finds that the average time it takes an employee to build a bookcase is 23 hours with a standard deviation of 8 hours.  A random sample of 64 employees is taken.  What is the likelihood that the sample mean will be 26 hours or less?

 Probabilistic Likelihood

PROBLEM 3 (60 points) :

The average grade point average (GPA) of undergraduate students in New York is normally distributed with a population mean of 2.5 and a population standard deviation of .5.  Compute the following, showing all work:

(I) The percentage of students with GPA's between 1.3 and 1.8 is:     (a) less than 5.6%

(b) 5.7%    (c) 5.9%      (d) 6.2%      (e) 6.3%       (f) 6.6%      (g) 7.3%     (h) 7.5%

i) 7.9%      (j) more than 8%.

 Choice

(II)  The percentage of students with GPA's above 3.4 is:

 Percentage

(III)  Above what GPA will the top 5% of the students be (i.e., compute the 95th percentile):

 GPA

(IV)  If a sample of 25 students is taken, what is the probability that the sample mean GPA will be between 2.50 and 2.75?  (a) less than .10    (b) .122      (c) .243      (d)  .307      (e) .346

(f) .38   (g) .42     (h) .44    (i) .494     (j)  more than  .494.

 Choice

Category: Education, General

### Hardwork

Available solutions
• HOMEWORK: SAMPLING DISTRIBUTIONS
\$7.00

HOMEWORK: SAMPLING DISTRIBUTIONS Student Name: _________________________________ Comments Example 1 • Consider the relation bet

Submitted on: 27 Sep, 2016 03:36:27 This tutorial has not been purchased yet .