 # Calculations to Write Four Essays Anonymous
timer Asked: Feb 16th, 2019
account_balance_wallet \$15

### Question Description

Use the given calculations to write 4 new essays. 1 page for each.

Please note that they are 4 individual essay, you need to finish them one by one using the given calculation on each.

And also you need to submit 4 separate files to me in order.

You cant put all 4 answers into one file.

All the work must be original

Turnitin report is required

Tutorshaph
School: Rice University   Hello, I'm through with the paper. It's perfect but in case of anything you can contact me. Thank you very much. Good bye

Running Head: New Call Time

1

Name
Course
University

New Call Time

2
New call time

Introduction
A two-sample hypothesis test is used to compare to means in order to retain or reject a null
hypothesis. A z-test is used when solving a two-sample hypothesis test. Based on the New Call
Center Data, two assumptions can be made. One is that the data follows a normal distribution
and that the values are independent.
Hypothesis
H0: Old time=New time
H1: Old time ≠New time
For the z-statistic to be computed from the data, there must be a sample size. Summation of the
assumption shows that the sample sizes for the old and new call are 11.066 and 8.742
respectively. We assume the sample variances for the new and old calls to be x and y
respectively. In calculation we use the statistical test formula of t= (mean x-mean y) or [s*sqrt
(1/mean y+1/mean x), where S=sqrt (mean x*s^2x + mean y*s^2y) (John, 2014).
Substituting the values to find S with the data given we have [(170*11.066
+170*8.853)/(11.066+8.853)= 11.02-2=4.04. Substituting to the rest of the formula we get
[(11.066-8.853)/[4.04*(1/170+1/170)]= 5.296.
The critical value of from the N-tables with 5% significance levels is 3.985. 5.296 is greater than
3.985, therefore, we reject Ho. We recommend to the vice president that the advancements made
in call time are significant and should continue.

New Call Time

2

According to John (2014), in a linear relationship of a dependent and independent variable, we
can estimate its strength and direction using a correlation coefficient. Correlation coefficients lie
between -1 and +1 (John, 2014). In order t...

flag Report DMCA  Review Anonymous
Thanks, good work Brown University

1271 Tutors California Institute of Technology

2131 Tutors Carnegie Mellon University

982 Tutors Columbia University

1256 Tutors Dartmouth University

2113 Tutors Emory University

2279 Tutors Harvard University

599 Tutors Massachusetts Institute of Technology

2319 Tutors New York University

1645 Tutors Notre Dam University

1911 Tutors Oklahoma University

2122 Tutors Pennsylvania State University

932 Tutors Princeton University

1211 Tutors Stanford University

983 Tutors University of California

1282 Tutors Oxford University

123 Tutors Yale University

2325 Tutors