MATH 110 MODULE 8 EXAM PORTAGE LEARNING, Exams of Nursing

MATH 110 MODULE 8 EXAM PORTAGE LEARNING/MATH 110 MODULE 8 EXAM PORTAGE LEARNING/MATH 110 MODULE 8 EXAM PORTAGE LEARNING

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MATH 110 MODULE 8 EXAM PORTAGE LEARNING
MATH 110 MODULE 8 EXAM PORTAGE LEARNING
Question 1
10 / 10 pts
You may find the following files helpful throughout the exam:
Statistics_Equation_Sheet (Links to an external site.)
Standard Normal Table (Links to an external site.)
T-Table (Links to an external site.)
Suppose we have independent random samples of size n1 = 420 and n2 = 510. The proportions of success
in the two samples are p1= .38 and p2 = .43. Find the 99% confidence interval for the difference in the
two population proportions.
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MATH 110 MODULE 8 EXAM PORTAGE LEARNING

Question 1

10 / 10 pts

You may find the following files helpful throughout the exam:

Statistics_Equation_Sheet (Links to an external site.)

Standard Normal Table (Links to an external site.)

T-Table (Links to an external site.)

Suppose we have independent random samples of size n 1 = 420 and n 2 = 510. The proportions of success in the two samples are p 1 = .38 and p 2 = .43. Find the 99% confidence interval for the difference in the two population proportions.

Answer the following questions:

  1. Multiple choice: Which equation would you use to solve this problem?

A.

B.

C.

D.

  1. List the values you would insert into that equation.
  2. State the final answer to the problem

Your Answer:

  1. The answer is B.
  2. The values listed are: n1=420, n2=510, p1=.38, p2=.43, and 99% confidence relate to z=2.58, sample size is greater than 30.
  3. When using the formula above (B):

Therefore the interval will be : .-0.1333,-0.

From table 6.1, we see that 99% confidence corresponds to z=2.58. Notice that the sample sizes are each greater than 30, so we may use eqn. 8.2:

A.

B.

C.

D.

  1. List the values you would insert into that equation.
  2. State the final answer to the problem

Your Answer:

  1. The unswer is A
  2. The values are: n1=89; n2=70;s1=6.3;s2=4.2; x1=36;x2=
  3. while using the formula mentioned above (A): After calculation I found:

90% of confidence interval between two population means:

Correction number(7,1785 shuld read 7.1788)

99% cobfidence is: (2.8218, 7.

since 0 does not lies between 2.8212 the hypothesis will be rejected. However, there is 99% confident that there is a difference in the mean of the two population.

Note to professor: Please undesrtand due to limited time sametimes I was not able to use proper elements for example I used (U1) instead of ( ) thank you for understanding.

When we look back at table 6.1, we see that 99% confidence corresponds to z=2.58.

If we say that the day shift nurses corresponds to population 1 and the night shift nurses corresponds to population 2, then:

n 1 =89, n 2 =70, s 1 =6.3, s 2 =4.2, x̄ 1 =36, x̄ 2 =

We will use eqn. 8.1:

A.

b) Since the entire confidence interval is positive, we can be 99% sure that there is a difference in the means of the two populations.

Incorrect value for z. This is not a hypothesis test.

Question 3

10 / 10 pts

You may find the following files helpful in throughout the exam:

Statistics_Equation_Sheet (Links to an external site.)

standard normal table (Links to an external site.)

t-table (Links to an external site.)

A head librarian supervises a number of libraries in a large county. He wants to know if full-time library workers and part-time library workers re-shelve books at the same rate. So, he checks the records of 40 full-time library workers and finds that they re-shelve an average of 185 books per hour with a standard deviation of 17.1 books per hour. The records of 40 part-time library show that they re-shelve an average of 190 books per hour with a standard deviation of 9.2 books per hour.

The null hypothesis will not be rejected becouse the z score falls between -1.645 and 1.

The null hypothesis is that there is no difference between the mean number of books re-shelved by the full-time and part-time workers:

H 0 : μ 1 - μ 2 = 0 H 1 : μ 1 - μ 2 ≠0. Since this is a two-tailed test, we must find the z that satisfies:

P(Z<z)=.1/2=.05 and P(Z > z)=.1/2=.05.

In the standard normal table, z=-1.645 and z=1.645. We will reject the null hypothesis if the z-score is less than -1.645 or the z-score is greater than 1.645.

We now find the z-score:

Since the z-score is between -1.645 and 1.645, we do not reject the null hypothesis.

Question 4

0 / 10 pts

You may find the following files helpful throughout the exam:

Statistics_Equation_Sheet (Links to an external site.)

standard normal table (Links to an external site.)

t-table (Links to an external site.)

Consider the following dependent random samples Observations 1 2 3 4 5 6 x-values 209 220 214 229 200 205 y-values 210 230 230 238 215 219

a) Determine the difference between each set of points, xi - yi

b) Do hypothesis testing to see if μd < 0 at the α = .01.

Your Answer:

a. The diference between each set of points X1-X2 is:

X1-y1: 209-210=-

X2-y2=220-230=-

x3-y3=214-230=-

x4-y4=229-238=-

x5-y5=200-215=-

x6-y6=205-219=-

b. Ho:Ud=U1-U2=0 & H1: U1-U2<0, wheras; d=0.

t= -20.83-0/2.2718 =-4.

t=-4.7671; t table value =3.3649, therefore we reject the hypothesis 0.01 less.

Since we are testing whether or not μd < 0, then our null and alternate hypothesis will be set as follows: H 0 : μd = 0 H 1 : μd < 0 There are 6 data points. So, n=6. This is a left-tailed test. Note that for t. 01 = -3.365 for 6-1 = 5. We find the mean in the usual way:

The sample standard deviation is given by:

Then using the mean, d = -10.833, and the standard deviation, sd= 5.565, that we found above:

Since t < t. 01 , we reject the null hypothesis.

C.

D.

  1. List the values you would insert into that equation.
  2. State the final answer to the problem

Your Answer:

  1. The answer is: D
  2. The values are: n=8 d= -1.125 and Sd=8.7413; t-chart of 95$ is: t=2.

3While using the formula above (D):

Note that n=8. We will define , di = xi - yi. After doing the appropriate calculations, we find that

d=-1.125 sd= 8.7413.

When we look at the student’s t chart for 95% confidence (the 95% is found along the bottom row of the chart) and DOF=8-1=7 (the df=7 is found in the leftmost column) we find that t=2.365. Then

D.

Quiz Score: 37 out of 50