The following calendar-year information is taken from the December.docxcherry686017
The following calendar-year information is taken from the December 31, 2011, adjusted trial balance and other records of Azalea Company.
1. Each team member is to be responsible for computing one of the following amounts. You are not to duplicate your teammates' work. Get any necessary amounts from teammates. Each member is to explain the computation to the team in preparation for reporting to class.
a. Materials used.
b. Factory overhead.
c. Total manufacturing costs.
d. Total cost of goods in process.
e. Cost of goods manufactured.
2. Check your cost of goods manufactured with the instructor. If it is correct, proceed to part (3).
3. Each team member is to be responsible for computing one of the following amounts. You are not to duplicate your teammates' work. Get any necessary amounts from teammates. Each member is to explain the computation to the team in preparation for reporting to class.
a. Net sales.
b. Cost of goods sold.
c. Gross profit.
d. Total operating expenses.
e. Net income or loss before taxes.
CALCULATE T TEST
Calculate the “t” value for independent groups for the following data using the formula provided in the attached word document. Using the raw measurement data presented, determine whether or not there exists a statistically significant difference between the salaries of female and male human resource managers using the appropriate t-test. Develop a testable hypothesis, confidence level, and degrees of freedom. Report the required “t” critical values based on the degrees of freedom. Show calculations.
Answer
The null hypothesis tested is
H0: There is no significant difference between the average salaries of female and male human resource managers. (µ1= µ2)
The alternative hypothesis is
H1: There is significant difference between the average salaries of female and male human resource managers. (µ1≠ µ2)
The test statistic used is
12
12
2
~
NN
DM
MM
tt
S
+-
-
=
Where
22
1122
1212
(1)(1)
11
2
DM
NsNs
S
NNNN
éùéù
-+-
=+
êúêú
+-
ëûëû
Here M1 = 62,200, M2 = 63,700
s1 = 9330.95, s2 = 6912.95
N1 = 10, N2 = 10 (See the excel sheet)
Then,
(
)
(
)
22
(101)9330.95(101)6912.95
11
101021010
DM
S
éù
-+-
éù
=+
êú
êú
+-
ëû
êú
ëû
= 3672.267768
Therefore test statistic,
62,20063,700
3672.267768
t
-
=
= -0.408466946
Degrees of freedom = N1 + N2 – 2 = 10 + 10 – 2 = 18
Let the significance level be 0.05.
Rejection criteria: Reject the null hypothesis, if the calculated value of t is greater than the critical value of t at 0.05 significance level.
The critical values can be obtained from the student’s t tables with 18 d.f. at 0.05 significance level.
Upper critical value = 2.1
Lower critical value = -2.1
0
.
4
0
.
3
0
.
2
0
.
1
0
.
0
X
D
e
n
s
i
t
y
-
2
.
1
0
0
.
0
2
5
2
.
1
0
0
.
0
2
5
0
D
i
s
t
r
i
b
u
t
i
o
n
P
l
o
t
T
,
d
f
=
1
8
Conclusion: Fails to reject the null hypothesis. The sample does not provide enough evidence to support the claim that there is significant difference ...
The following calendar-year information is taken from the December.docxcherry686017
The following calendar-year information is taken from the December 31, 2011, adjusted trial balance and other records of Azalea Company.
1. Each team member is to be responsible for computing one of the following amounts. You are not to duplicate your teammates' work. Get any necessary amounts from teammates. Each member is to explain the computation to the team in preparation for reporting to class.
a. Materials used.
b. Factory overhead.
c. Total manufacturing costs.
d. Total cost of goods in process.
e. Cost of goods manufactured.
2. Check your cost of goods manufactured with the instructor. If it is correct, proceed to part (3).
3. Each team member is to be responsible for computing one of the following amounts. You are not to duplicate your teammates' work. Get any necessary amounts from teammates. Each member is to explain the computation to the team in preparation for reporting to class.
a. Net sales.
b. Cost of goods sold.
c. Gross profit.
d. Total operating expenses.
e. Net income or loss before taxes.
CALCULATE T TEST
Calculate the “t” value for independent groups for the following data using the formula provided in the attached word document. Using the raw measurement data presented, determine whether or not there exists a statistically significant difference between the salaries of female and male human resource managers using the appropriate t-test. Develop a testable hypothesis, confidence level, and degrees of freedom. Report the required “t” critical values based on the degrees of freedom. Show calculations.
Answer
The null hypothesis tested is
H0: There is no significant difference between the average salaries of female and male human resource managers. (µ1= µ2)
The alternative hypothesis is
H1: There is significant difference between the average salaries of female and male human resource managers. (µ1≠ µ2)
The test statistic used is
12
12
2
~
NN
DM
MM
tt
S
+-
-
=
Where
22
1122
1212
(1)(1)
11
2
DM
NsNs
S
NNNN
éùéù
-+-
=+
êúêú
+-
ëûëû
Here M1 = 62,200, M2 = 63,700
s1 = 9330.95, s2 = 6912.95
N1 = 10, N2 = 10 (See the excel sheet)
Then,
(
)
(
)
22
(101)9330.95(101)6912.95
11
101021010
DM
S
éù
-+-
éù
=+
êú
êú
+-
ëû
êú
ëû
= 3672.267768
Therefore test statistic,
62,20063,700
3672.267768
t
-
=
= -0.408466946
Degrees of freedom = N1 + N2 – 2 = 10 + 10 – 2 = 18
Let the significance level be 0.05.
Rejection criteria: Reject the null hypothesis, if the calculated value of t is greater than the critical value of t at 0.05 significance level.
The critical values can be obtained from the student’s t tables with 18 d.f. at 0.05 significance level.
Upper critical value = 2.1
Lower critical value = -2.1
0
.
4
0
.
3
0
.
2
0
.
1
0
.
0
X
D
e
n
s
i
t
y
-
2
.
1
0
0
.
0
2
5
2
.
1
0
0
.
0
2
5
0
D
i
s
t
r
i
b
u
t
i
o
n
P
l
o
t
T
,
d
f
=
1
8
Conclusion: Fails to reject the null hypothesis. The sample does not provide enough evidence to support the claim that there is significant difference ...
1. A law firm wants to determine the trend in its annual billings .docxmonicafrancis71118
1. A law firm wants to determine the trend in its annual billings so that it can better forecast revenues. It plots the data on its billings for the past 10 years and finds that the scatter plot appears to be linear. What formula should they use to determine the trend line?
σ = ∑√(x - μ)2 ÷ N
F = s12 ÷ s22
t = (x̄ - μx-bar) ÷ s/√n
Tt = b0 + b1t
3 points
QUESTION 2
1. A set of subjects, usually randomly sampled, selected to participate in a research study is called:
Population
Sample
Mode group
Partial selection
3 points
QUESTION 3
1. If a researcher accepts a null hypothesis when that hypothesis is actually true, she has committed:
a type I error
a type II error
no error
a causation
3 points
QUESTION 4
1. A binomial probability distribution is a discrete distribution (i.e., the x-variable is discrete).
True
False
3 points
QUESTION 5
1. The tdistribution is wider and flatter (i.e., has more variation) than the normal distribution.
True
False
3 points
QUESTION 6
1. A physician wants to estimate the average amount of time that patients spend in his waiting room. He asks his receptionist to record the waiting times for 28 of his patients and finds that the sample mean (x̄) is 37 minutes and the sample standard deviation (s) is 12 minutes. What formula would you use to construct the 95% confidence interval for the population mean of waiting times?
t = (x̄ - μx-bar) ÷ s/√n
µ = ∑ x ÷ N
x̄ - t(s ÷ √n) < µ < x̄ + t(s ÷ √n)
z = (x - µ) ÷ σ
3 points
QUESTION 7
1. When the alternative hypothesis states that the difference between two groups can only be in one direction, we call this a:
One-tailed test
Bi-directional test
Two-tailed test
Non-parametric test
3 points
QUESTION 8
1. For any probability distribution, the probability of any x-value occurring within any given range is equal to the area under the distribution and above that range.
True
False
3 points
QUESTION 9
1. The formula for ____________ is (Row total X Column total)/T
Observed frequencies
Degrees of freedom
Expected frequencies
Sampling error
3 points
QUESTION 10
1. State Senator Hanna Rowe has ordered an investigation of the large number of boating accidents that have occurred in the state in recent summers. Acting on her instructions, her aide, Geoff Spencer, has randomly selected 9 summer months within the last few years and has compiled data on the number of boating accidents that occurred during each of these months. The mean number of boating accidents to occur in these 9 months was 31 (x̄), and the standard deviation (s) in this sample was 9 boating accidents per month. Geoff was told to construct a 90% confidence interval for the true mean number of boating accidents per month. What formula should Geoff use?
x̄ - t(s ÷ √n) < µ < x̄ + t(s ÷ √n)
F = s12 ÷ s22
z = (x - µ) ÷ σ
x̄ - z(σ ÷ √n) < µ < x̄ + z(σ ÷ √n)
.
Esitmates for year 201620162015Sales (units) increase.docxYASHU40
Esitmates for year 2016
2016
2015
Sales (units) increase
10%
115,000
Sale Price (unit) increase
1%
$5.00
Raw material:
Price
DM - Plasitic (lb.)
$2.90
$3.00
DM - Wheel (wheel)
$0.03
$0.02
Labor cost:
wage rate (airplane)
$0.60
$88,775
total
MOH:
Indirect material (per airplane)
$0.005
Indirect labor (per airplane)
$0.003
utility
$850
factory depreciation
$1,000
$27,000
total
Period cost:
S&A expenses - variable (per airplane)
$0.01
S&A expenses - Fixed
$15,000
$130,000
total
Finished Goods:
beginning (units)
?
desired ending (units)
9%
of yearly sales
15,000
Account receivable
25%
23%
Account payable
25%
23%
Tax rate
30%
30%
Minimun bank account
$50,000
$50,000
What is the break-even in sales units for 2016?
What is the target sale in sales units for 2016 with a target profit of $200,000?
Assuming at the beginning of 2015, the company made the plan same as 2016. Find the quantity factors and price factors for 2015:
Prepare income statement using both variable costing method and absorption costing method for 2016
Prepare a flexible budget for 2016, with decrease 10% sales, same, and increase 10% sales
Prepare a Master Budget for 2016:
Sales budget
Production budget
DM purchases budget
DL cost budget
MOH cost budget
COGS budget
S&A budget
Cash budget
Account receivable
Account payable
Does the factory need to borrow money at the end of 2016?
MS1023 Business Statistics with Computer Applications Homework #4
Maho Sonmez [email protected] 1
MS1023 Business Statistics w/Comp Apps I
Homework #4 – Use Red Par Score Form
Chps. 9 & 10: 50 Questions Only
1. The first step in testing a hypothesis is to
establish a true null hypothesis and a false
alternative hypothesis.
a) True
b) False
2. In testing hypotheses, the researcher
initially assumes that the alternative
hypothesis is true and uses the sample data
to reject it.
a) True
b) False
3. The null and the alternative hypotheses
must be mutually exclusive and collectively
exhaustive.
a) True
b) False
4. Generally speaking, the hypotheses that
business researchers want to prove are stated
in the alternative hypothesis.
a) True
b) False
5. When a true null hypothesis is rejected,
the researcher has made a Type I error.
a) True
b) False
6. When a false null hypothesis is rejected,
the researcher has made a Type II error.
a) True
b) False
7. The rejection region for a hypothesis test
becomes smaller if the level of significance
is changed from 0.01 to 0.05.
a) True
b) False
8. Whenever hypotheses are established
such that the alternative hypothesis is "μ>8",
where μ is the population mean, the
hypothesis test would be a two-tailed test.
a) True
b) False
9. Whene ...
1. A law firm wants to determine the trend in its annual billings .docxmonicafrancis71118
1. A law firm wants to determine the trend in its annual billings so that it can better forecast revenues. It plots the data on its billings for the past 10 years and finds that the scatter plot appears to be linear. What formula should they use to determine the trend line?
σ = ∑√(x - μ)2 ÷ N
F = s12 ÷ s22
t = (x̄ - μx-bar) ÷ s/√n
Tt = b0 + b1t
3 points
QUESTION 2
1. A set of subjects, usually randomly sampled, selected to participate in a research study is called:
Population
Sample
Mode group
Partial selection
3 points
QUESTION 3
1. If a researcher accepts a null hypothesis when that hypothesis is actually true, she has committed:
a type I error
a type II error
no error
a causation
3 points
QUESTION 4
1. A binomial probability distribution is a discrete distribution (i.e., the x-variable is discrete).
True
False
3 points
QUESTION 5
1. The tdistribution is wider and flatter (i.e., has more variation) than the normal distribution.
True
False
3 points
QUESTION 6
1. A physician wants to estimate the average amount of time that patients spend in his waiting room. He asks his receptionist to record the waiting times for 28 of his patients and finds that the sample mean (x̄) is 37 minutes and the sample standard deviation (s) is 12 minutes. What formula would you use to construct the 95% confidence interval for the population mean of waiting times?
t = (x̄ - μx-bar) ÷ s/√n
µ = ∑ x ÷ N
x̄ - t(s ÷ √n) < µ < x̄ + t(s ÷ √n)
z = (x - µ) ÷ σ
3 points
QUESTION 7
1. When the alternative hypothesis states that the difference between two groups can only be in one direction, we call this a:
One-tailed test
Bi-directional test
Two-tailed test
Non-parametric test
3 points
QUESTION 8
1. For any probability distribution, the probability of any x-value occurring within any given range is equal to the area under the distribution and above that range.
True
False
3 points
QUESTION 9
1. The formula for ____________ is (Row total X Column total)/T
Observed frequencies
Degrees of freedom
Expected frequencies
Sampling error
3 points
QUESTION 10
1. State Senator Hanna Rowe has ordered an investigation of the large number of boating accidents that have occurred in the state in recent summers. Acting on her instructions, her aide, Geoff Spencer, has randomly selected 9 summer months within the last few years and has compiled data on the number of boating accidents that occurred during each of these months. The mean number of boating accidents to occur in these 9 months was 31 (x̄), and the standard deviation (s) in this sample was 9 boating accidents per month. Geoff was told to construct a 90% confidence interval for the true mean number of boating accidents per month. What formula should Geoff use?
x̄ - t(s ÷ √n) < µ < x̄ + t(s ÷ √n)
F = s12 ÷ s22
z = (x - µ) ÷ σ
x̄ - z(σ ÷ √n) < µ < x̄ + z(σ ÷ √n)
.
Esitmates for year 201620162015Sales (units) increase.docxYASHU40
Esitmates for year 2016
2016
2015
Sales (units) increase
10%
115,000
Sale Price (unit) increase
1%
$5.00
Raw material:
Price
DM - Plasitic (lb.)
$2.90
$3.00
DM - Wheel (wheel)
$0.03
$0.02
Labor cost:
wage rate (airplane)
$0.60
$88,775
total
MOH:
Indirect material (per airplane)
$0.005
Indirect labor (per airplane)
$0.003
utility
$850
factory depreciation
$1,000
$27,000
total
Period cost:
S&A expenses - variable (per airplane)
$0.01
S&A expenses - Fixed
$15,000
$130,000
total
Finished Goods:
beginning (units)
?
desired ending (units)
9%
of yearly sales
15,000
Account receivable
25%
23%
Account payable
25%
23%
Tax rate
30%
30%
Minimun bank account
$50,000
$50,000
What is the break-even in sales units for 2016?
What is the target sale in sales units for 2016 with a target profit of $200,000?
Assuming at the beginning of 2015, the company made the plan same as 2016. Find the quantity factors and price factors for 2015:
Prepare income statement using both variable costing method and absorption costing method for 2016
Prepare a flexible budget for 2016, with decrease 10% sales, same, and increase 10% sales
Prepare a Master Budget for 2016:
Sales budget
Production budget
DM purchases budget
DL cost budget
MOH cost budget
COGS budget
S&A budget
Cash budget
Account receivable
Account payable
Does the factory need to borrow money at the end of 2016?
MS1023 Business Statistics with Computer Applications Homework #4
Maho Sonmez [email protected] 1
MS1023 Business Statistics w/Comp Apps I
Homework #4 – Use Red Par Score Form
Chps. 9 & 10: 50 Questions Only
1. The first step in testing a hypothesis is to
establish a true null hypothesis and a false
alternative hypothesis.
a) True
b) False
2. In testing hypotheses, the researcher
initially assumes that the alternative
hypothesis is true and uses the sample data
to reject it.
a) True
b) False
3. The null and the alternative hypotheses
must be mutually exclusive and collectively
exhaustive.
a) True
b) False
4. Generally speaking, the hypotheses that
business researchers want to prove are stated
in the alternative hypothesis.
a) True
b) False
5. When a true null hypothesis is rejected,
the researcher has made a Type I error.
a) True
b) False
6. When a false null hypothesis is rejected,
the researcher has made a Type II error.
a) True
b) False
7. The rejection region for a hypothesis test
becomes smaller if the level of significance
is changed from 0.01 to 0.05.
a) True
b) False
8. Whenever hypotheses are established
such that the alternative hypothesis is "μ>8",
where μ is the population mean, the
hypothesis test would be a two-tailed test.
a) True
b) False
9. Whene ...
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Thesis Statement for students diagnonsed withADHD.ppt
Hipotesis2 grupos dependientes
1. “Pruebas de hipótesis: para
dos muestras
Dependientes”
Dr. Jorge Alejandro Obando Bastidas
2. Muestras apareadas, grupos dependientes
El contraste que se realiza es: 𝐻0 = 𝜇𝑑 = 0
𝐻1 = 𝜇𝑑 ≠ 0
Y se emplea: 𝑡0 =
ҧ
𝑑
ൗ
𝑠𝑑
𝑛
Donde
ҧ
𝑑 =
1
𝑛
𝑗=1
𝑛
𝑑𝑗
𝑠𝑑
2
=
1
𝑛 − 1
𝑗=1
𝑛
𝑑𝑗 − 𝑑 2
3. En la tabla se dan los datos de 8 proveedores en términos del número promedio de piezas rotas por
envío. ¿Indican los datos, para 0.05, que las nuevas medidas han disminuido el número promedio
de piezas rotas?
Proveedor 1 2 3 4 5 6 7 8
Antes 16 12 18 7 14 19 6 17
Después 14 13 12 6 9 15 8 15
EJEMPLO El encargado de recepción de un distribuidor de productos químicos, se enfrenta con
el problema continuo de recibir tubos de ensayo, platos Petri y matraces rotos
Jeff determinó algunas precauciones adicionales de empaque que se pueden tomar para prevenir la
rotura de las piezas y ha pedido al director de adquisiciones que informe a los proveedores de las
nuevas medidas.
4. Promedio(D) 19,7
Destandart(D
) 4,17252921
n 10
Raiz(n) 3,16227766
t 14,9302418
Como el valor de t cae en la zona de rechazo,
acepto la hipótesis alterna, se han reducido los
pesos con el tratamiento. El tratamiento sirvió,
por que en general las personas perdieron peso.
5. Antes Después D
16 14 2
12 13 -1
18 12 6
7 6 1
14 9 5
19 15 4
6 8 -2
17 15 2
17
Media de la diferencia D= 2,12
Desviación estándar de la diferencia = 2,61
𝑇 =
2,12
2,61
8
= 2,29
V= n-1=8-1=7
𝑇𝛼 = 1,89
Grados de
libertad.
Se cumple la hipótesis
alterna y las medidas que
se tomaron para disminuir
el numero de piezas rotas,
si dio resultado, fueron
efectivas.
6. EJEMPLO
Un club deportivo anuncia un riguroso programa de acondicionamiento físico.
El club asegura que después de un mes de seguir el programa, un participante promedio será capaz de
hacer 8 “lagartijas” más en 2 minutos que las que podía hacer al principio.
¿La muestra aleatoria de 10 participantes en el programa, cuyos datos se dan en la tabla siguiente,
apoya la afirmación del club? Utilice un nivel de significancia de 0.025.
Participante 1 2 3 4 5 6 7 8 9 10
Antes 38 11 34 25 17 38 12 27 32 29
Después 45 24 41 39 30 44 30 39 40 41
