2. Using our sample data, construct a 95 confidence interval for th.pdf

•

0 likes•3 views

A 95% confidence interval for the mean salary difference between genders in the sample data is calculated as $4.77 to $25.35. A two-sample t-test indicates the means are not equal, as the p-value is 0.005. Using a two-sample t-test is better than two one-sample tests when comparing samples, as it directly tests if a difference exists between the sample means rather than just providing individual confidence intervals.

Education

2. Using our sample data, construct a 95% confidence interval for the mean salary difference
between the genders in the population. How does this compare to the findings in week 2,
question 2?
Difference
St Err.
T value
Low
to
High
Can the means be equal? Yes or No. Why?
Why is using a two sample tool (t-test, confidence interval) a better choice than using 2 one-
sample techniques when comparing two samples?
ID
Salary
Compa
Midpoint
Age
Performance Rating
Service
Gender
Raise
Degree
Gender1
Gr
1
66.1
1.159
57
34
85
8
0
5.7
0
M

E
2
25.9
0.834
31
52
80
7
0
3.9
0
M
B
3
35.2
1.135
31
30
75
5
1
3.6
1
F
B
4
55.3
0.971
57
42
100
16
0
5.5
1
M

E
5
49.6
1.033
48
36
90
16
0
5.7
1
M
D
6
78.3
1.168
67
36
70
12
0
4.5
1
M
F
7
42.3
1.058
40
32
100
8
1
5.7
1
F

C
8
22.8
0.990
23
32
90
9
1
5.8
1
F
A
9
78
1.164
67
49
100
10
0
4
1
M
F
10
23.3
1.014
23
30
80
7
1
4.7
1
F

A
11
23.6
1.025
23
41
100
19
1
4.8
1
F
A
12
60.8
1.067
57
52
95
22
0
4.5
0
M
E
13
40.6
1.014
40
30
100
2
1
4.7
0
F

C
14
21.7
0.943
23
32
90
12
1
6
1
F
A
15
21.8
0.949
23
32
80
8
1
4.9
1
F
A
16
37.4
0.934
40
44
90
4
0
5.7
0
M

C
17
57
1.000
57
27
55
3
1
3
1
F
E
18
33.5
1.081
31
31
80
11
1
5.6
0
F
B
19
23
1.000
23
32
85
1
0
4.6
1
M

A
20
36
1.162
31
44
70
16
1
4.8
0
F
B
21
76
1.135
67
43
95
13
0
6.3
1
M
F
22
43.7
0.911
48
48
65
6
1
3.8
1
F

D
23
25.3
1.098
23
36
65
6
1
3.3
0
F
A
24
48.9
1.019
48
30
75
9
1
3.8
0
F
D
25
25.8
1.122
23
41
70
4
0
4
0
M

A
26
23.3
1.013
23
22
95
2
1
6.2
0
F
A
27
42.3
1.057
40
35
80
7
0
3.9
1
M
C
28
75.2
1.122
67
44
95
9
1
4.4
0
F

F
29
80.9
1.208
67
52
95
5
0
5.4
0
M
F
30
49
1.020
48
45
90
18
0
4.3
0
M
D
31
24.2
1.054
23
29
60
4
1
3.9
1
F

A
32
27.5
0.886
31
25
95
4
0
5.6
0
M
B
33
63.6
1.115
57
35
90
9
0
5.5
1
M
E
34
28.6
0.922
31
26
80
2
0
4.9
1
M

B
35
22.4
0.976
23
23
90
4
1
5.3
0
F
A
36
23.6
1.026
23
27
75
3
1
4.3
0
F
A
37
24.3
1.057
23
22
95
2
1
6.2
0
F

A
38
63
1.105
57
45
95
11
0
4.5
0
M
E
39
34.8
1.123
31
27
90
6
1
5.5
0
F
B
40
24.3
1.057
23
24
90
2
0
6.3
0
M

A
41
42.8
1.071
40
25
80
5
0
4.3
0
M
C
42
23
0.998
23
32
100
8
1
5.7
1
F
A
43
75.4
1.125
67
42
95
20
1
5.5
0
F

F
44
60.7
1.065
57
45
90
16
0
5.2
1
M
E
45
57.9
1.206
48
36
95
8
1
5.2
1
F
D
46
62.2
1.091
57
39
75
20
0
3.9
1
M

E
47
62.2
1.091
57
37
95
5
0
5.5
1
M
E
48
70.1
1.230
57
34
90
11
1
5.3
1
F
E
49
61.7
1.083
57
41
95
21
0
6.6
0
M

E
50
61.4
1.077
57
38
80
12
0
4.6
0
M
E
Difference
St Err.
T value
Low
to
High
Solution
Two-sample T for Salary
Gender N Mean StDev SE Mean
0 25 52.3 18.6 3.7
1 25 37.2 17.5 3.5
Difference = mu (0) - mu (1)
Estimate for difference: 15.06
95% CI for difference: (4.77, 25.35)
T-Test of difference = 0 (vs not =): T-Value = 2.94 P-Value = 0.005 DF = 48
Difference = 15.06
standard error of difference between means = 5.107
T value = 2.94
Low = 4.77

High =25.35
No, The means are not equal . ( since P-value is very low i.e. 0005)
We use two sample t-test to the average salary differences between the two genders. This gives
whether there is truly difference exists between the genders . If we use one sample individual
test, then this test gives the individual averages confidence interval , from which we can't
interpret the difference of their averages.

Similar to 2. Using our sample data, construct a 95 confidence interval for th.pdf

Multivariate Techniques

Terry Chaney

Chi-square tests are great to show if distributions differ or if two variables interact in producing outcomes. What are some examples of variables that you might want to check using the chi-square tests? What would these results tell you? DataSee comments at the right of the data set.IDSalaryCompaMidpointAgePerformance RatingServiceGenderRaiseDegreeGender1Grade8231.000233290915.80FAThe ongoing question that the weekly assignments will focus on is: Are males and females paid the same for equal work (under the Equal Pay Act)? 10220.956233080714.70FANote: to simplfy the analysis, we will assume that jobs within each grade comprise equal work.11231.00023411001914.80FA14241.04323329012160FAThe column labels in the table mean:15241.043233280814.90FAID – Employee sample number Salary – Salary in thousands 23231.000233665613.31FAAge – Age in yearsPerformance Rating – Appraisal rating (Employee evaluation score)26241.043232295216.21FAService – Years of service (rounded)Gender: 0 = male, 1 = female 31241.043232960413.90FAMidpoint – salary grade midpoint Raise – percent of last raise35241.043232390415.31FAGrade – job/pay gradeDegree (0= BS\BA 1 = MS)36231.000232775314.31FAGender1 (Male or Female)Compa - salary divided by midpoint37220.956232295216.21FA42241.0432332100815.70FA3341.096313075513.60FB18361.1613131801115.61FB20341.0963144701614.81FB39351.129312790615.51FB7411.0254032100815.70FC13421.0504030100214.71FC22571.187484865613.80FD24501.041483075913.81FD45551.145483695815.20FD17691.2105727553130FE48651.1405734901115.31FE28751.119674495914.41FF43771.1496742952015.51FF19241.043233285104.61MA25241.0432341704040MA40251.086232490206.30MA2270.870315280703.90MB32280.903312595405.60MB34280.903312680204.91MB16471.175404490405.70MC27401.000403580703.91MC41431.075402580504.30MC5470.9794836901605.71MD30491.0204845901804.30MD1581.017573485805.70ME4661.15757421001605.51ME12601.0525752952204.50ME33641.122573590905.51ME38560.9825745951104.50ME44601.0525745901605.21ME46651.1405739752003.91ME47621.087573795505.51ME49601.0525741952106.60ME50661.1575738801204.60ME6761.1346736701204.51MF9771.149674910010041MF21761.1346743951306.31MF29721.074675295505.40MF Week 1Week 1.Measurement and Description - chapters 1 and 21Measurement issues. Data, even numerically coded variables, can be one of 4 levels - nominal, ordinal, interval, or ratio. It is important to identify which level a variable is, asthis impact the kind of analysis we can do with the data. For example, descriptive statistics such as means can only be done on interval or ratio level data.Please list under each label, the variables in our data set that belong in each group.NominalOrdinalIntervalRatiob.For each variable that you did not call ratio, why did you make that decision?2The first step in analyzing data sets is to find some summary descriptive statistics for key variables.For salary, compa, age, performance rating, and service; find the mean, standard deviation, and range for 3 groups: ...

Chi-square tests are great to show if distributions differ or i.docx

MARRY7

The CEO of your company has asked you, the human resource manager, to conduct a study to determine whether or not male managers and female managers perceive leadership styles differently and, if differences are found, to develop a training program that will benefit gender differences in leadership. To this end you selected, randomly, 10 male managers and 10 female managers to participate in your study. To each manager a leadership style survey questionnaire was administered. The questionnaire chosen was the Blake & Mouton Managerial Grid as it assesses leadership behavior. The numeric raw data results of the 18 question study are as follows: Raw Numeric Questionnaire Data Question

Mgt 340 Success Begins / snaptutorial.com

WilliamsTaylor32

MGT 340 Massive Success / snaptutorial.com

Stephenson173

BUSI 620 Questions for Critical Thinking 3 Salvatore’s Chapter 6: a. Discussion Questions: 1, 7, and 15. b. Problems: 7 and appendix problems 1 and 3 (pp. 256–257). Note: 1. Revised P7: Just construct the diffusion index from month 2 to 3. In this problem, we have three leading indicators. The diffusion index from month 1 to 2 is 66.7 (=2/3) because two indicators move up and move down (see p. 236). 2. Appendix problem 1: Delete “Eliminating the data for 2000.” You need to calculate the moving average forecasts and RMSEs for year 2000, not the whole data period. 3. Appendix problem 3: Compare RMSEs for moving average and exponential forecasts to answer “Is this a better forecast than the moving average” (see also p. 234)? Use 166.63, the mean of all 36 months, as the initial forecast for Jan. 1998 for both exponential smoothing forecasts. Salvatore’s Chapter 7: a. Discussion Questions: 3, 11, and 12. b. Problems: 4, 12, and 13. Note: 1. P4: Ms. Smith should hire workers as long as their marginal revenue product (MRP) exceeds their marginal resource cost (MRC) and until MRP=MRC. MRP=MR x MP = P x MP = $10 x MP (use information in the problem to calculate MP). MRC=wages=$40. 2. P12(a): Calculate Q when L=1and K=1, and L=2 and K=2. Then compare and answer the question about the returns to scale. 3. P12(b): Given K=1, show the change in Q if L changes from 1 to 2 and 2 to 3. Answer the question about diminishing returns. 4. P13(a): See figure (7-4) on page 276. DataSee comments at the right of the data set.IDSalaryCompaMidpointAgePerformance RatingServiceGenderRaiseDegreeGender1Grade8231.000233290915.80FAThe ongoing question that the weekly assignments will focus on is: Are males and females paid the same for equal work (under the Equal Pay Act)? 10220.956233080714.70FANote: to simplfy the analysis, we will assume that jobs within each grade comprise equal work.11231.00023411001914.80FA14241.04323329012160FAThe column labels in the table mean:15241.043233280814.90FAID – Employee sample number Salary – Salary in thousands 23231.000233665613.31FAAge – Age in yearsPerformance Rating – Appraisal rating (Employee evaluation score)26241.043232295216.21FAService – Years of service (rounded)Gender: 0 = male, 1 = female 31241.043232960413.90FAMidpoint – salary grade midpoint Raise – percent of last raise35241.043232390415.31FAGrade – job/pay gradeDegree (0= BS\BA 1 = MS)36231.000232775314.31FAGender1 (Male or Female)Compa - salary divided by midpoint37220.956232295216.21FA42241.0432332100815.70FA3341.096313075513.60FB18361.1613131801115.61FB20341.0963144701614.81FB39351.129312790615.51FB7411.0254032100815.70FC13421.0504030100214.71FC22571.187484865613.80FD24501.041483075913.81FD45551.145483695815.20FD17691.2105727553130FE48651.1405734901115.31FE28751.119674495914.41FF43771.1496742952015.51FF19241.043233285104.61MA25241.0432341704040MA40251.086232490206.30MA2270.870315280703.90MB32280.903312595405.60MB34280.903312680204.91 ...

BUSI 620Questions for Critical Thinking 3Salvatore’s Chapter.docx

humphrieskalyn

BUS 308 Week 2 Quiz (Statistics For Managers - entirecourse.com)

John Sperling

Descriptive Statistics, Numerical Description

getyourcheaton

Final Exam Due Friday, Week Eight Instructions: Each response is worth a maximum of 50 points. Number and state the question. Space and then give your response. Each response will be a minimum 175 and maximum 225 words. Utilize the book, at least one resource beyond the course book and your personal examples in each response. This means that beyond the course text you should have a minimum of 4 references for this midterm exam. Create appropriate headings/subheading for each response and then give your detailed answer to the question. Use Word doc. or docx only. Times New Roman, 12 font and double-space everything. Include a cover page and reference page. Return exam via email attachment NLT. Follow APA 6th ed. formatting requirements. NO LATE EXAMS WILL BE ACCEPTED! 1. In determining rates of pay, how are the decisions made as to who gets paid $7.00 per hour and who will receive $1 million for a years work? 2. How can team effort result in improved organizational profitability? 3. What is reverse discrimination and how does it influence the design of an executive compensation plan? 4. With benefits consuming approximately 40 percent of the compensation dollar of most organizations, among many managers the “fringe benefit” concept still exists. Develop a detailed outline of the various components of a typically benefits program, indicating their importance and scope. Develop the outline so that it can be used for a presentation. (This response length may vary, so ensure you meet the requirements as stated.) DataSee comments at the right of the data set.IDSalaryCompaMidpointAgePerformance RatingServiceGenderRaiseDegreeGender1Grade8231.000233290915.80FAThe ongoing question that the weekly assignments will focus on is: Are males and females paid the same for equal work (under the Equal Pay Act)? 10220.956233080714.70FANote: to simplfy the analysis, we will assume that jobs within each grade comprise equal work.11231.00023411001914.80FA14241.04323329012160FAThe column labels in the table mean:15241.043233280814.90FAID – Employee sample number Salary – Salary in thousands 23231.000233665613.31FAAge – Age in yearsPerformance Rating – Appraisal rating (Employee evaluation score)26241.043232295216.21FAService – Years of service (rounded)Gender: 0 = male, 1 = female 31241.043232960413.90FAMidpoint – salary grade midpoint Raise – percent of last raise35241.043232390415.31FAGrade – job/pay gradeDegree (0= BS\BA 1 = MS)36231.000232775314.31FAGender1 (Male or Female)Compa - salary divided by midpoint37220.956232295216.21FA42241.0432332100815.70FA3341.096313075513.60FB18361.1613131801115.61FB20341.0963144701614.81FB39351.129312790615.51FB7411.0254032100815.70FC13421.0504030100214.71FC22571.187484865613.80FD24501.041483075913.81FD45551.145483695815.20FD17691.2105727553130FE48651.1405734901115.31FE28751.119674495914.41FF43771.1496742952015.51FF19241.043233285104.61MA25241.0432341704040MA40251.086232490206.30MA2270.87 ...

Final Exam Due Friday, Week EightInstructions Each response is.docx

mydrynan

Stat170 - Introductory Statistics Semester 2, 2015 Assignment 2 Instructions: 1. Type your answers directly into this document. 2. The answers to all questions are to be word processed. You can either type formulae into your solution or you can use the equation editor in Word or you may include hand-written equations and diagrams by photographing them so that you have the image saved as a picture file and then pasting (inserting) the image/s into your solution. 3. Your assignment should be uploaded as a Word (.doc or .docx) or PDF file (created from a Word processed document) ONLY. Other formats, including a PDF created from an image, will not be accepted by the system. Information: Q1 Q2 Q3 Q4 Total 10 13 10 17 50 1) Question 1 (10 marks) Include an appropriate diagram for each part of this question. You can sketch these diagrams and paste in a photo of your sketch, along with your solutions. a. BranCrunch is a new breakfast cereal. Boxes of BranCrunch are labelled ‘ 675 grams’ but there is some variation. The actual mean weight is 675 grams with a standard deviation of 21 grams. i. Dan’s Discount Store sells BranCrunch in mega-packs of 8 boxes. Assuming the weights of boxes of BranCrunch are normally distributed, find the probability that the average weight of a mega-pack of BranCrunch is higher than 665 grams. ii. Louie’s Convenience Store receives a shipment of 30 boxes of BranCrunch. Louie’s will complain to the manufacturers if the total weight of this shipment is lower than 20 kg. Find the probability that Louie’s Convenience Store will complain about the shipment and explain why the information about the weights of BranCrunch following a normal distribution is not necessary to answer this part of the question. b. In 2014 the Department of Social Services reported that 32% of current marriages in Australia were expected to end in divorce. Find the probability that more than 8 marriages out of a random sample of 20 marriages which were current in 2014 would end in divorce. Question 2 (13 marks) Lean body mass is the amount of weight carried on the body that is not fat. Metabolic rate is the rate at which the body consumes energy. The following Minitab output was constructed using data recorded in a fitness study which was designed to compare the lean body masses and also the metabolic rates of adolescent males and adolescent females. Use this output to answer the questions which follow. Two-sample T for LeanBodyMass Sex N Mean StDev SE Mean Male 75 52.63 6.66 0.77 Female 75 43.42 6.05 0.70 Difference = μ (Male) - μ (Female) Estimate for difference: 9.21 95% CI for difference: (****, ****) T-Test of difference = 0 (vs ≠): T-Value = **** P-Value = **** DF = **** Both use Pooled StDev = 6.3633 Two-sample T for MetRate SE Sex N Mean StDev Mean Male 75 1626 227 26 Female 75 1258 172.

Stat170 - Introductory Statistics Semester 2, 2015 Assignmen.docx

dessiechisomjj4

Bus 308 Effective Communication - snaptutorial.com

HarrisGeorg10

BUS 308 Education Organization - snaptutorial.com

donaldzs179

Problem Set Week One All statistical calculations will use Employee Salary Data Set 1. Using the Excel Analysis ToolPak function descriptive statistics, generate and show the descriptive statistics for each appropriate variable in the sample data set. 1. For which variables in the data set does this function not work correctly for? Why? 2. Sort the data by Gen or Gen 1 (into males and females) and find the mean and standard deviation for each gender for the following variables: 1. sal, compa, age, sr and raise. Use either the descriptive stats function or the Fx functions (average and stdev). 3. What is the probability for a: 1. Randomly selected person being a male in grade E? 2. Randomly selected male being in grade E? 3. Why are the results different? 4. Find: 1. The z score for each male salary, based on only the male salaries. 2. The z score for each female salary, based on only the female salaries. 3. The z score for each female compa, based on only the female compa values. 4. The z score for each male compa, based on only the male compa values. 5. What do the distributions and spread suggest about male and female salaries? 6. Why might we want to use compa to measure salaries between males and females? 5. Based on this sample, what conclusions can you make about the issue of male and female pay equality? 6. Are all of the results consistent with your conclusion? If not, why not? ID Sal Compa Mid Age EES SER G Raise Deg Gen1 Gr 1 58 1.017 57 34 85 8 0 5.7 0 M E The ongoing question that the weekly assignments will focus on is: Are males and females paid the same for equal work (under the Equal Pay Act)? 2 27 0.870 31 52 80 7 0 3.9 0 M B Note: to simplfy the analysis, we will assume that jobs within each grade comprise equal work. 3 34 1.096 31 30 75 5 1 3.6 1 F B 4 66 1.157 57 42 100 16 0 5.5 1 M E The column labels in the table mean: 5 47 0.979 48 36 90 16 0 5.7 1 M D ID – Employee sample number Sal – Salary in thousands 6 76 1.134 67 36 70 12 0 4.5 1 M F Age – Age in years EES – Appraisal rating (Employee evaluation score) 7 41 1.025 40 32 100 8 1 5.7 1 F C SER – Years of service G – Gender (0 = male, 1 = female) 8 23 1.000 23 32 90 9 1 5.8 1 F A Mid – salary grade midpoint Raise – percent of last raise 9 77 1.149 67 49 100 10 0 4 1 M F Grade – job/pay grade Deg (0= BS\BA 1 = MS) 10 22 0.956 23 30 80 7 1 4.7 1 F A Gen1 (Male or Female) Compa - salary divided by midpoint, a measure of salary that removes the impact of grade 11 23 1.000 23 41 100 19 1 4.8 1 F A 12 60 1.052 57 52 95 22 0 4.5 0 M E This data should be treated as a sample of employees taken from a company that has about 1,000 13 42 1.050 40 30 100 2 1 4.7 0 F C employees using a random sampling approach. 14 24 1.043 23 32 90 12 1 6 1 F A 15 24 1.043 23 32 80 8 1 4.9 1 F A 16 47 1.175 40 44 90 4 0 5.7 0 M C Mac Users: The homework in ...

Problem Set Week OneAll statistical calculations will use Employ.docx

wkyra78

Question 1. 1. You are given only three quarterly seasonal indices and quarterly seasonally adjusted data for the entire year. What is the raw data value for Q4? Raw data is not adjusted for seasonality. Quarter Seasonal Index Seasonally Adjusted Data Q1 .80 295 Q2 .85 299 Q3 1.15 270 Q4 --- 271 (Points : 3) 325 225 252 271 Question 2. 2. One model of exponential smoothing will provide almost the same forecast as a liner trend method. What are linear trend intercept and slope counterparts for exponential smoothing? (Points : 3) Alpha and Delta Delta and Gamma Alpha and Gamma Std Dev and Mean Question 3. 3. Why is the residual mean value important to a forecaster? (Points : 3) Large mean values indicate nonautoregressiveness. Small mean values indicate the total amount of error is small. Large absolute mean values indicate estimate bias. Large mean values indicate the standard error of the model is small. Question 4. 4. When performing correlation analysis what is the null hypothesis? What measure in Minitab is used to test it and to be 95% confident in the significance of correlation coefficient. (Points : 3) Ho: r = .05 p < .5 Ho: r = 1 p =.05 Ho: r ≠ 0 p≤.05 Ho: r = 0 p≤.05 Question 5. 5. In decomposition what does the cycle factor (CF) of .80 represent for a monthly forecast estimate of a Y variable? (Points : 3) The estimated value is 80% of the average monthly seasonal estimate. The estimate is .80 of the forecasted Y trend value. The estimated value is .80 of the historical average CMA values. The estimated value has 20% more variation than the average historical Y data values. Question 6. 6. A Burger King franchise owner notes that the sales per store has fallen below the stated national Burger King outlet average of $1,258,000. He asserts a change has occurred that reduced the fast food eating habits of Americans. What is his hypothesis (H1) and what type of test for significance must be applied? (Points : 3) H1: u ≥ $1.258,000 A one-tailed t-test to the left. H1: u = $1.258,000 A two-tailed t-test. H1: u < $1.258,000 A one-tailed t-test to the left. H1: p < $1.258,000 A one-tailed test to the right. Question 7. 7. The CEO of Home Depot wants to see if city size has any relationship to the current profit margins of the company stores. What data type will he likely use to determine this? (Points : 3) Time series data of profits by store. Recent 10 year sample of profits by stores. Recent cross section of store profits by city. Trend of a random sample of store profits over time. Question 8. 8. Sometimes forecasters get lazy or forgetful and do not.

Question 1. 1.You are given only three quarterly seasonal indi.docx

teofilapeerless

Project Report for Mostan Superstore.pptx

ChristianahEfunniyi

1. You are given only three quarterly seasonal indices and quarterly seasonally adjusted data for the entire year. What is the raw data value for Q4? Raw data is not adjusted for seasonality. Quarter Seasonal Index Seasonally Adjusted Data Q1 .80 295 Q2 .85 299 Q3 1.15 270 Q4 --- 271 (Points : 3) 325 225 252 271 Question 2. 2. One model of exponential smoothing will provide almost the same forecast as a liner trend method. What are linear trend intercept and slope counterparts for exponential smoothing? (Points : 3) Alpha and Delta Delta and Gamma Alpha and Gamma Std Dev and Mean Question 3. 3. Why is the residual mean value important to a forecaster? (Points : 3) Large mean values indicate nonautoregressiveness. Small mean values indicate the total amount of error is small. Large absolute mean values indicate estimate bias. Large mean values indicate the standard error of the model is small. Question 4. 4. When performing correlation analysis what is the null hypothesis? What measure in Minitab is used to test it and to be 95% confident in the significance of correlation coefficient. (Points : 3) Ho: r = .05 p < .5 Ho: r = 1 p =.05 Ho: r ≠ 0 p≤.05 Ho: r = 0 p≤.05 Question 5. 5. In decomposition what does the cycle factor (CF) of .80 represent for a monthly forecast estimate of a Y variable? (Points : 3) The estimated value is 80% of the average monthly seasonal estimate. The estimate is .80 of the forecasted Y trend value. The estimated value is .80 of the historical average CMA values. The estimated value has 20% more variation than the average historical Y data values. Question 6. 6. A Burger King franchise owner notes that the sales per store has fallen below the stated national Burger King outlet average of $1,258,000. He asserts a change has occurred that reduced the fast food eating habits of Americans. What is his hypothesis (H1) and what type of test for significance must be applied? (Points : 3) H1: u ≥ $1.258,000 A one-tailed t-test to the left. H1: u = $1.258,000 A two-tailed t-test. H1: u < $1.258,000 A one-tailed t-test to the left. H1: p < $1.258,000 A one-tailed test to the right. Question 7. 7. The CEO of Home Depot wants to see if city size has any relationship to the current profit margins of the company stores. What data type will he likely use to determine this? (Points : 3) Time series data of profits by store. Recent 10 year sample of profits by stores. Recent cross section of store profits by city. Trend of a random sample of store profits over time. Question 8. 8. Sometimes forecasters get lazy or forgetful and do not check the significance of XY data correlations ...

1. You are given only three quarterly seasonal indices and quarter.docx

jackiewalcutt

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.docx

cherry686017

See comments at the right of the data set. ID Salary Compa Midpoint Age Performance Rating Service Gender Raise Degree Gender1 Grade 8 23 1.000 23 32 90 9 1 5.8 0 F A The ongoing question that the weekly assignments will focus on is: Are males and females paid the same for equal work (under the Equal Pay Act)? 10 22 0.956 23 30 80 7 1 4.7 0 F A Note: to simplfy the analysis, we will assume that jobs within each grade comprise equal work. 11 23 1.000 23 41 100 19 1 4.8 0 F A 14 24 1.043 23 32 90 12 1 6 0 F A The column labels in the table mean: 15 24 1.043 23 32 80 8 1 4.9 0 F A ID – Employee sample number Salary – Salary in thousands 23 23 1.000 23 36 65 6 1 3.3 1 F A Age – Age in years Performance Rating – Appraisal rating (Employee evaluation score) 26 24 1.043 23 22 95 2 1 6.2 1 F A Service – Years of service (rounded) Gender: 0 = male, 1 = female 31 24 1.043 23 29 60 4 1 3.9 0 F A Midpoint – salary grade midpoint Raise – percent of last raise 35 24 1.043 23 23 90 4 1 5.3 1 F A Grade – job/pay grade Degree (0= BS\BA 1 = MS) 36 23 1.000 23 27 75 3 1 4.3 1 F A Gender1 (Male or Female) Compa - salary divided by midpoint 37 22 0.956 23 22 95 2 1 6.2 1 F A 42 24 1.043 23 32 100 8 1 5.7 0 F A 3 34 1.096 31 30 75 5 1 3.6 0 F B 18 36 1.161 31 31 80 11 1 5.6 1 F B 20 34 1.096 31 44 70 16 1 4.8 1 F B 39 35 1.129 31 27 90 6 1 5.5 1 F B 7 41 1.025 40 32 100 8 1 5.7 0 F C 13 42 1.050 40 30 100 2 1 4.7 1 F C 22 57 1.187 48 48 65 6 1 3.8 0 F D 24 50 1.041 48 30 75 9 1 3.8 1 F D 45 55 1.145 48 36 95 8 1 5.2 0 F D 17 69 1.210 57 27 55 3 1 3 0 F E 48 65 1.140 57 34 90 11 1 5.3 1 F E 28 75 1.119 67 44 95 9 1 4.4 1 F F 43 77 1.149 67 42 95 20 1 5.5 1 F F 19 24 1.043 23 32 85 1 0 4.6 1 M A 25 24 1.043 23 41 70 4 0 4 0 M A 40 25 1.086 23 24 90 2 0 6.3 0 M A 2 27 0.870 31 52 80 7 0 3.9 0 M B 32 28 0.903 31 25 95 4 0 5.6 0 M B 34 28 0.903 31 26 80 2 0 4.9 1 M B 16 47 1.175 40 44 90 4 0 5.7 0 M C 27 40 1.000 40 35 80 7 0 3.9 1 M C 41 43 1.075 40 25 80 5 0 4.3 0 M C 5 47 0.979 48 36 90 16 0 5.7 1 M D 30 49 1.020 48 45 90 18 0 4.3 0 M D 1 58 1.017 57 34 85 8 0 5.7 0 M E 4 66 1.157 57 42 100 16 0 5.5 1 M E 12 60 1.052 57 52 95 22 0 4.5 0 M E 33 64 1.122 57 35 90 9 0 5.5 1 M E 38 56 0.982 57 45 95 11 0 4.5 0 M E 44 60 1.052 57 45 90 16 0 5.2 1 M E 46 65 1.140 57 39 75 20 0 3.9 1 M E 47 62 1.087 57 37 95 5 0 5.5 1 M E 49 60 1.052 57 41 95 21 0 6.6 0 M E 50 66 1.157 57 38 80 12 0 4.6 0 M E 6 76 1.134 67 36 70 12 0 4.5 1 M F 9 77 1.149 67 49 100 10 0 4 1 M F 21 76 1.134 67 43 95 13 0 6.3 1 M F 29 72 1.074 67 52 95 5 0 5.4 0 M F Score: Week 1. Measurement and Description - chapters 1 and 2 .

See comments at the right of the data set..docx

potmanandrea

DataIDSalaryCompaMidpoint AgePerformance RatingServiceGenderRaiseDegreeGender1GrStudents: Copy the Student Data file data values into this sheet to assist in doing your weekly assignments.The ongoing question that the weekly assignments will focus on is: Are males and females paid the same for equal work (under the Equal Pay Act)? Note: to simplfy the analysis, we will assume that jobs within each grade comprise equal work.The column labels in the table mean:ID – Employee sample number Salary – Salary in thousands Age – Age in yearsPerformance Rating - Appraisal rating (employee evaluation score)Service – Years of service (rounded)Gender – 0 = male, 1 = female Midpoint – salary grade midpoint Raise – percent of last raiseGrade – job/pay gradeDegree (0= BS\BA 1 = MS)Gender1 (Male or Female)Compa - salary divided by midpoint Week 1Week 1.Measurement and Description - chapters 1 and 2The goal this week is to gain an understanding of our data set - what kind of data we are looking at, some descriptive measurse, and a look at how the data is distributed (shape).1Measurement issues. Data, even numerically coded variables, can be one of 4 levels - nominal, ordinal, interval, or ratio. It is important to identify which level a variable is, asthis impact the kind of analysis we can do with the data. For example, descriptive statistics such as means can only be done on interval or ratio level data.Please list under each label, the variables in our data set that belong in each group.NominalOrdinalIntervalRatiob.For each variable that you did not call ratio, why did you make that decision?2The first step in analyzing data sets is to find some summary descriptive statistics for key variables.For salary, compa, age, performance rating, and service; find the mean, standard deviation, and range for 3 groups: overall sample, Females, and Males.You can use either the Data Analysis Descriptive Statistics tool or the Fx =average and =stdev functions. (the range must be found using the difference between the =max and =min functions with Fx) functions.Note: Place data to the right, if you use Descriptive statistics, place that to the right as well.Some of the values are completed for you - please finish the table.SalaryCompaAgePerf. Rat.ServiceOverallMean35.785.99.0Standard Deviation8.251311.41475.7177Note - data is a sample from the larger company populationRange304521FemaleMean32.584.27.9Standard Deviation6.913.64.9Range26.045.018.0MaleMean38.987.610.0Standard Deviation8.48.76.4Range28.030.021.03What is the probability for a:Probabilitya. Randomly selected person being a male in grade E?b. Randomly selected male being in grade E? Note part b is the same as given a male, what is probabilty of being in grade E?c. Why are the results different?4A key issue in comparing data sets is to see if they are distributed/shaped the same. We can do this by looking at some measures of wheresome selected values are within each data set - that .

DataIDSalaryCompaMidpoint AgePerformance RatingServiceGenderRaiseD.docx

simonithomas47935

Lab TA:_______________ID:_________________Name:___________________ Soc 3811 Basic Social Statistics Extra Credit A total of 20 points 1. The following table presents the total sample size and the percentage distribution of a grouped variable, “Hours of Shopping this Year.” Calculate the mean and the variance. Note that you need to find “frequency (fi)”, “midpoint (Yi)”, and “deviation (di)” for each row before you can get the mean and the variance. Hours Shopping Percentage (%) Frequency (fi) Midpoint (Yi) Deviation di2 di2(fi) 1-4 5 5-8 25 9-12 15 13-16 30 17-20 5 21-24 20 Total 100.0 550 Mean___________ Variance___________ 2. One of the Stat’s TA’s believes that cats are more popular than dogs. Test the hypothesis using the data within the data tables provided below. Cats Popularity Freq Percent Cum. % low 15 75 75 high 5 25 100 Total: 20 Dogs Popularity Freq Percent Cum. % low 22 68.75 68.75 high 10 45.45 100 Total: 32 1: State the research and null hypothesis in symbolic form. 2: Perform a T-test. 3: Find the critical value of T relative to the .05 alpha level. 4: Make a decision relative to the null hypothesis and interpret the result. 3. The following equation is a predicted regression line based on an analysis of a sample of 2,500 people. “Happiness” is the dependent continuous variable measured by a 100 point happiness scale. Income is a dummy variable, 0 for low-income, 1 for middle-income, and 2 for upper-income. Happiness = a + b * Income Here is the STATA output: Happiness Coefficient St. Error t P>t Income 22.45 4.76 7.65 .000 Constant 19.1 4.09 2.25 .029 Observations = 2500 F(1, 2498) = 13.32 Prob > F=.0001 R^2 = .217 Adj. R^2= .201 Answer the following questions. 1. Are the variables happiness and income related, and if so, by how much? How do you know this? 2. What is the strength of this relationship? Happiness = a + b * Income+ b * Health - b * Age The above equation is a predicted multivariable regression line based on an analysis of a sample of 2,500 people. “Happiness” is the dependent continuous variable measured by a 100 point happiness scale. Health is a continuous measure, scored 0 (poor health) to 10 (excellent health). Income is a dummy variable, 0 for low-income, 1 for middle- to upper-income. Age is a continuous measure and is measured in years. Here is the STATA. Happiness Coefficient St. Error t P>t Income 15.6 3.76 3.65 .001 Health 10.4 1.77 3.09 .001 Age -5.9 .87 2.76 .01 Constant 19.1 4.09 2.25 .029 Observations = 2500 F(1, 2498) = 9.44 Prob > F= .0001 R^2 = .381 Adj. R^2= .341 Answer the following. 3. Compare the coefficients from this model to the bivariate model above. How are they different, and why do you think they are different? Which is a better model? 4. Write the predicted equations for both the bivariate and multivariate regressions. ...

Lab TA_______________ID_________________Name__________________.docx

MARRY7

Case Study 2: SCADA Worm Protecting the nation’s critical infrastructure is a major security challenge within the U.S. Likewise, the responsibility for protecting the nation’s critical infrastructure encompasses all sectors of government, including private sector cooperation. Search on the Internet for information on the SCADA Worm, such as the article located athttp://www.theregister.co.uk/2010/09/22/stuxnet_worm_weapon/. Write a three to five (3-5) page paper in which you: 1. Describe the impact and the vulnerability of the SCADA / Stuxnet Worm on the critical infrastructure of the United States. 2. Describe the methods to mitigate the vulnerabilities, as they relate to the seven (7) domains. 3. Assess the levels of responsibility between government agencies and the private sector for mitigating threats and vulnerabilities to our critical infrastructure. 4. Assess the elements of an effective IT Security Policy Framework, and how these elements, if properly implemented, could prevent or mitigate and attack similar to the SCADA / Stuxnet Worm. 5. Use at least three (3) quality resources in this assignment. Note: Wikipedia and similar Websites do not qualify as quality resources. Your assignment must follow these formatting requirements: · Be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides; citations and references must follow APA or school-specific format. Check with your professor for any additional instructions. · Include a cover page containing the title of the assignment, the student’s name, the professor’s name, the course title, and the date. The cover page and the reference page are not included in the required assignment page length. The specific course learning outcomes associated with this assignment are: · Identify the role of an information systems security (ISS) policy framework in overcoming business challenges. · Compare and contrast the different methods, roles, responsibilities, and accountabilities of personnel, along with the governance and compliance of security policy framework. · Describe the different ISS policies associated with the user domain. · Analyze the different ISS policies associated with the IT infrastructure. · Use technology and information resources to research issues in security strategy and policy formation. · Write clearly and concisely about Information Systems Security Policy topics using proper writing mechanics and technical style conventions. DataIDSalaryCompaMidpoint AgePerformance RatingServiceGenderRaiseDegreeGender1GrStudents: Copy the Student Data file data values into this sheet to assist in doing your weekly assignments.1601.053573485805.70METhe ongoing question that the weekly assignments will focus on is: Are males and females paid the same for equal work (under the Equal Pay Act)? 226.80.866315280703.90MBNote: to simplfy the analysis, we will assume that jobs within each grade comprise equal work.334.71.120313075513.61FB457.91.01657 ...

Case Study 2 SCADA WormProtecting the nation’s critical infra.docx

wendolynhalbert

Similar to 2. Using our sample data, construct a 95 confidence interval for th.pdf (20)

Multivariate Techniques

Chi-square tests are great to show if distributions differ or i.docx

Mgt 340 Success Begins / snaptutorial.com

MGT 340 Massive Success / snaptutorial.com

BUSI 620Questions for Critical Thinking 3Salvatore’s Chapter.docx

BUS 308 Week 2 Quiz (Statistics For Managers - entirecourse.com)

Descriptive Statistics, Numerical Description

Final Exam Due Friday, Week EightInstructions Each response is.docx

Stat170 - Introductory Statistics Semester 2, 2015 Assignmen.docx

Bus 308 Effective Communication - snaptutorial.com

BUS 308 Education Organization - snaptutorial.com

Problem Set Week OneAll statistical calculations will use Employ.docx

Question 1. 1.You are given only three quarterly seasonal indi.docx

Project Report for Mostan Superstore.pptx

1. You are given only three quarterly seasonal indices and quarter.docx

The following calendar-year information is taken from the December.docx

See comments at the right of the data set..docx

DataIDSalaryCompaMidpoint AgePerformance RatingServiceGenderRaiseD.docx

Lab TA_______________ID_________________Name__________________.docx

Case Study 2 SCADA WormProtecting the nation’s critical infra.docx

More from lohithkart

International business 1. What is the current status of Pakistan in the world market place? support your answer with research. please give citiation. 2. What is the ease of doing business in Pakistan? support your answer with research. please give citiation. 3. Are other countries wanting to invest in Pakistan? support your answer with research. please give citiation. 4. What do you see as the future of your country in the world market place? support your answer with research. please give citiation. Solution Answer 1). According to World Bank report Pakistan ranks fourth in terms of value (4.2 billion dollars) with the same global market share as Sri Lanka, although apparel’s share of total country exports is lower at 19 percent. Foreign direct investment (FDI) has not played an important role; in the apparel sector, the share of foreign-owned firms is estimated to be less than 2 percent, and only slightly higher in the textile sector. Wages and working conditions are better in the formal industry than in the large cottage sector, but short term or temporary contracts are widely used, particularly for women. The September 2012 factory fire in Karachi recently highlighted poor safety standards in the country. Pakistan can benefit from the following policies: increase product diversity by reducing barriers on imports so as to ease access to manmade fibers (such as duty and tax remission for exports, and export processing zones); attract foreign direct investment (FDI) by adopting policies to reduce red tape and increase transparency to close the gap with South Asian countries whose textile and apparel industries are located primarily on the coast; diversify markets by taking advantage of access to emerging markets; shorten lead times by improving road infrastructure to facilitate access to ports for exporting firms; shorten lead times by clustering strategies to provide key infrastructure and common facilities; enhance perceptions of stability as many buyers will not travel to Pakistan, which makes sourcing complicated. Answer 2) Pakistan has slipped three places on the Word Bank’s Ease of Doing Business Index and is now ranked a lowly 147th among 190 economies, denting the government’s pro-business image ahead of next general elections. The index is mostly used as a guide by foreign investors to learn more about a country, aiding decisions on pouring in money in the economy. Pakistan, however, slipped from its last year’s rating despite the introduction of some reforms in areas of starting a business and making international trade relatively easier. If one government department is to be blamed for the overall poor performance, it is the Ministry of Finance, as the country’s ranking nosedived on the indicators of paying taxes and getting credit. The World Bank released the Doing Business 2018 report on Tuesday that covers 190 economies and measures how close each economy is to global best practices in business regulations. In South Asia, Bhutan.

International business1. What is the current status of Pakistan in.pdf

lohithkart

Imagine a polygon (not necessarily convex) with 2015 sides. Suppose there is a circle that has exactly one common point with each of its sides. None of the vertices of the polygon is a point of the circle. Prove that at least one of the sides is tangent to the circle. Solution Since sides of polygon tuches circle only once and vertices Do not tuches the circle. This implies that polygon is convex and circle is inside polygon (incircle ) .since by Def. Of tangent each side of polygon is tangent to the circle..

Imagine a polygon (not necessarily convex) with 2015 sides. Suppose .pdf

lohithkart

In 2017, Jasmine and Thomas, a married couple, had taxable income of $150,000. If they were to file separate tax returns, Jasmine would have reported taxable income of $140,000 and Thomas would have reported taxable income of $10,000. Use Tax Rate Schedule for reference. What is the couple’s marriage penalty or benefit? (Do not round intermediate calculations. Round your answer to 2 decimal places. Input the amount as positive value.) Solution Answer Married Couple Taxable Income Tax if jointly filed Tax if single Jasmine 140,000 32,181.75 Thomas 10,000 1,033.75 Jointly 150,000 28,977.50 33,215.50 Tax on Jointly Filed = $10452.5 + 25%* (150000-75900) = 28,977.50 Tax if filed separately Jasmine = $18713.75 + 28%* (140000-91900) = $32,181.75 Thomas = $932.5 + 15%* (10000-9325) = $1,033.75 Marriage benefit = $4,238 (33,215.50 - 28,977.50) Married Couple Taxable Income Tax if jointly filed Tax if single Jasmine 140,000 32,181.75 Thomas 10,000 1,033.75 Jointly 150,000 28,977.50 33,215.50.

In 2017, Jasmine and Thomas, a married couple, had taxable income of.pdf

lohithkart

In a maternity ward, four babies become accidentally mixed up. The ABO types of the four babies are known to be O, A, B and AB. The ABO types of the four sets of parents are determined. Indicate which baby belongs to each set of parents. AB times O A times O A times AB O times O Solution A) AB * O : Child might be A or B B) A* O : Child might be A or O C) A* AB: Child might be A ,B or AB. D) O*O : Child will be O. Explanation: The above results are through genotype match between mother and father having the particular blood groups. For example: A blood means AA or AO , O means OO, B means BB or BO ,AB means AB.O allele is masked by presence of A and B allele and expresses in presence of 2 O alleles.A punnet square cross will depict the above results..

In a maternity ward, four babies become accidentally mixed up. The AB.pdf

lohithkart

How has the social change driven the development of new information technologies, such as cell phone, text messaging, movie recommendation software? Solution now a days people are so far increasing their knowledge very effectively. They also good in their educational levels. By looking on that usage of the technology has been grown largely so that the there might be social wareness on what exactly the technology is holding now a days. Internet is also very easily accessed by everyone and everyone is maintaing smartphones and they can see the world in it.There are many applications that come in to existance for the basic communication like texting sharing their views, posting etc in their cell phones and then after everyone can book their tickets of movies through internet in different applications that are available in the market. By the response that is coming from the users there will huge devolepment of the technology and many new applications with extra updates like location finding, booking tickets etc., finally the technology making the functioning of the people less so that the people can also improve their knowledge lead their life digitally..

How has the social change driven the development of new information .pdf

lohithkart

HIV protease activates waterfor a hydrolysis reactions using what type of two residues? Solution The question deals with the action of mechanism of HIV protease.. The main active site for the lies in the identical sub units which has a sequence of (Asp-Thr-Gly) .. The position of these are (25-26-27) . As it is a homodimer hence both the Asp(25) residues act as a catalytic site for this.. The water plays an important role in the mechanism where water acts as a Nucleophile.. This water along with the (2 -Asp) residues discussed above brings out the mechanism of breaking or hydrolysis of scissile bonds peptides bonds,(these are covalent bonds which can be broken by enzymes)..!! The two residues are 2 - Asp which are at position 25..!.

HIV protease activates waterfor a hydrolysis reactions using what ty.pdf

lohithkart

Fair Value and Equity Methods Conceptual Questions 1. What are the two fair value methods to account for investments? 2. What type of security can be accounted for under both methods? 3. What type of security can be accounted for under only one of these methods? Which method is that? Solution Cost method and equity method Stock or equity securities with more than 50% ownership Available for sale securities, Equity method.

Fair Value and Equity Methods Conceptual Questions1. What are the .pdf

lohithkart

Do larval and adult lampreys have the 5 chordate characteristics? Which feature has evolved into a new structure? What characteristics make them craniates? Do they have the vertebrate characteristics? Solution The larvae of lamprey is called ammocoetes.larvae of lamprey have the 5 chordate characteristics such as notochord,dorsal nerve cord,pharyngeal slits,endostyle and post anal tail.endostyle is present in larvae stage but not in adult lamprey. A well developed cranium and jaw bone makes them craniates..

Do larval and adult lampreys have the 5 chordate characteristics Wh.pdf

lohithkart

Describe and explain how sound travels in each: Solids: Liquids: Gas: Outer Space: List an example for each kind of energy transfer: Thermal to electrical: Electrical to mechanical: Mechanical to sound: Electrical to light: Define and give an example of each term as it relates to light: Reflection: Refraction: Absorption: Lens: Define each term as it relates to electricity: Open circuit: Closed Circuit: Solution 1) Sound travels in different forms in different medium Solids: In solids, sound waves travel as both longitudinal as well as transverse waves. Longitudinal waves are alternate regions of compressions and rarefractions caused by pressure deviations from the mean pressure. On the other hand, transverse waves are caused by alternate regions of shear stress developed perpendicular to the direction of propogation of the sound wave. Liquids: In liquids, sound travels through alterante regions of high pressure(compression) and low pressure(rarefraction). Such type of waves are known as longitudinal waves. The source causing the sound vibrates, thus compressing and expanding the air in the region near the source. This gets propogated in space through longitudinal waves. Gasses: Like in liquids, sound travels through through longitudinal waves in gasses too.. The source causing the sound vibrates, thus compressing and expanding the air in the region near the source. This gets propogated in space through longitudinal waves. Outer Space: Sound requires some medium for propogation. Since outer space is devoid of any matter, sound does not travel in outer space. 2) Thermal to Electrical: Thermoelectric generators, Thermocouples etc Electrical to Mechanical: AC Generator Mechanical to sound: Bells, Percussion Instruments Electrical to light: Torch light, Light Bulbs 3) Reflection: The change in direction of light wave on hitting a surface is known as reflection. Eg: Mirror Refraction: Bending of light wave as it travels from one medium to another is known as refration. refraction mainly happens due to difference in the refractive index between to the two mediums. Eg: Contact lens, lens in microscopes Absorption: The phenomenon by which light wave could be absorbed by a material when incident on it is known as absorption. Eg: Absorption of light by chlorophyl for photosynthesis Lens: lens is an optical device that bends light in a required fassion through refraction. depending on the requirement and the shape of the lens, it can be used to focus the light beam or disperse. Eg: Contact lens 4) Open circuit: An electrical circuit without a complete path between the terminals of the power source is known as open circuit Closed circuit: An electrical circuit with atleast one complete path between the terminals of the power source is known as open circuit.

Describe and explain how sound travels in each Solids Liquids G.pdf

lohithkart

Contrast apomixis with sexual reproduction in flowering plants Solution Answer: The development of embryo without the ferlization is called apomixis. Embryo is developed by the fusion of haploid male and female gametes in sexual reproduction. During apmixis parental combination are only produced but recombinants are not produced. During sexual reproduction, crossing over in gamete foramation thereby new cobmiantions will be produced.

Contrast apomixis with sexual reproduction in flowering plantsSo.pdf

lohithkart

Before dawn Josh hurriedly packed some clothes for a job-interview trip while his roommate was still sleeping. He reached in his disorganized sock drawer where there were M black socks and M navy blue socks, although they appeared to be the same color in the dimly lighted room. Josh grabbed N socks, and with no time to spare, he then raced to the airport to catch his plane. a. What is the probability that Josh packed at least A black socks so that he will be dressed appropriately the day of his interview? b. What is the probability that Josh packed at least B black socks so that he will be dressed appropriately the latter day of his trip as well? Solution.

Before dawn Josh hurriedly packed some clothes for a job-interview t.pdf

lohithkart

5. A child’s toy oven uses an incandescent light bulb to bake cookies or cakes. It resembles a conventional oven, except that the heating element is simply a 60 W electric light bulb. a. The light bulb is completely enclosed inside the oven and is barely visible from the outside. Nonetheless energy enters the empty oven in one form and leaves in another. What are these two forms? c. Some that is not a child’s toy is Nitinol. What is that, and how is it affected by temperature that is different from other metals? d. Inside the oven, the light bulb is located just below the food. What heat transfer mechanism carries most of the heat from the bulb to the food? e. If the bulb were above the food rather than below it, what heat transfer mechanism would carry most of the heat from the bulb to the food? It would be mostly radiation. f. The oven’s door locks when the oven is hot. The lock uses a horizontal bimetallic strip. The lower piece of metal in the strip expands more when heated than the upper piece of metal. Which way does the strip curl when the oven is hot? It will curl to U shaped. Solution A)Enters as electrical energy of the filament and leaves as electromagnetic radiation C)It is a nickel- titanium metal alloy with some unique properties. It is also known as Nickel titanium. This alloy exhibits the superelasticity or pseudoelasticity and the shape memory properties. It means this unique metal can remember its original shape and shows great elasticity under stress. Nitinol alloys exhibit two closely related and unique properties: shape memory effect (SME) and superelasticity (SE; also calledpseudoelasticity, PE). Shape memory is the ability of nitinol to undergo deformation at one temperature, then recover its original, undeformed shape upon heating above its \"transformation temperature\". Superelasticity occurs at a narrow temperature range just above its transformation temperature; in this case, no heating is necessary to cause the undeformed shape to recover, and the material exhibits enormous elasticity, some 10-30 times that of ordinary metal D)Radiation mostly some convection too . E)Mostly radiation F)As noted above, different materials expand differing amounts when heated. As an example, brass expands nearly twice as much as steel. If you take a straight strip of brass and bond it to a an strip of steel, you will have what is called a bimetalic strip. When heated, the brass side will expand more than the steel side, and so the entire strip will curve, with the brass on the outside of the curve.

5. A child’s toy oven uses an incandescent light bulb to bake cookie.pdf

lohithkart

8. Upon reviewing former CEO Jeff Swartz’s final blog post, do you agree or disagree with his finding that the business world has shifted to sustainability Solution Yes agree that world is shifting to sustainability The era of corporations integrating sustainable practices is being surpassed by a new age of corporations actively transforming the market to make it more sustainable. Business sustainability has come a long way. From the dawn of the modern environmental movement and the establishment of environmental regulations in the 1970s, it has become a strategic concern driven by market forces. Today, more than 90 percent of CEOs state that sustainability is important to their company’s success, and companies develop sustainability strategies, market sustainable products and services, create positions such as chief sustainability officer, and publish sustainability reports for consumers, investors, activists, and the public at large. This trend will not abate anytime soon. Surveys show that 88 percent of business school students think that learning about social and environmental issues in business is a priority, and 67 percent want to incorporate environmental sustainability into their future jobs. To meet this demand, the percentage of business schools that require students to take a course dedicated to business and society increased from 34 percent in 2001 to 79 percent in 2011, and specific academic programs on business sustainability can now be found in 46 percent of the top 100 US master of business administration (MBA) programs. For all this interest, we should expect the world to become more sustainable. But problems such as climate change, water scarcity, species extinction, and many others continue to worsen. Sustainable business is reaching the limits of what it can accomplish in its present form. It is slowing the velocity at which we are approaching a crisis, but we are not changing course. Instead of tinkering around the edges of the market with new products and services, business must now transform it. That is the focus of the next phase of business sustainability, and we can see signs that it is emerging. The first phase of business sustainability, what we at the University of Michigan’s Erb Institute call “enterprise integration,” is founded on a model of business responding to market shifts to increase competitive positioning by integrating sustainability into preexisting business considerations. By contrast, the next phase of business sustainability, what we call “market transformation,” is founded on a model of business transforming the market. Instead of waiting for a market shift to create incentives for sustainable practices, companies are creating those shifts to enable new forms of business sustainability. Enterprise integration is geared toward present-day measures of success; market transformation will help companies create tomorrow’s measures. The first is focused on reducing unsustainability; the second is focuse.

8. Upon reviewing former CEO Jeff Swartz’s final blog post, do you a.pdf

lohithkart

Write a program that moves the ball in a pane. You should define a pane class for displaying the ball and provide the methods for moving the ball left, right, up. and down, as shown in Figure Check the boundary to prevent the ball from moving out of sight completely. Exercise uses the buttons to move the ball. Solution public class Exe extends Application { public void start(Stage primaryStage) throws Exception { double width = 400; double height = 400; BallPane ballPane = new BallPane(width / 2,height / 2, Math.min(width,height) / 15); Button btUp = new Button(\"Up\"); btUp.setOnAction(e -> ballPane.moveUp()); Button btDown = new Button(\"Down\"); btDown.setOnAction(e -> ballPane.moveDown()); Button btLeft = new Button(\"Left\"); btLeft.setOnAction(e -> ballPane.moveLeft()); Button btRight = new Button(\"Right\"); btRight.setOnAction(e -> ballPane.moveRight()); HBox buttons = new HBox(btUp, btDown, btLeft, btRight); buttons.setAlignment(Pos.BOTTOM_CENTER); buttons.setSpacing(10); buttons.setPadding(new Insets(10, 10, 10, 10)); BorderPane pane = new BorderPane(); pane.setCenter(ballPane); pane.setBottom(buttons); Scene scene = new Scene(pane, width, height); primaryStage.setScene(scene); primaryStage.setTitle(\"Click to move ball\"); primaryStage.show(); } private class BallPane extends Pane { private Circle mCircle; public BallPane() { this(0, 0, 10); } public BallPane(double centerX, double centerY, double radius) { mCircle = new Circle(centerX, centerY, radius); getChildren().add(mCircle); } public void moveUp() { if (mCircle.getCenterY() - mCircle.getRadius() - 10 < 0) return; mCircle.setCenterY(mCircle.getCenterY() - 10); } public void moveDown() { if (mCircle.getCenterY() + mCircle.getRadius() + 10 > getHeight()) return; mCircle.setCenterY(mCircle.getCenterY() + 10); } public void moveRight() { if (mCircle.getCenterX() + mCircle.getRadius() + 10 > getWidth()) return; mCircle.setCenterX(mCircle.getCenterX() + 10); } public void moveLeft() { if (mCircle.getCenterX() - mCircle.getRadius() - 10 < 0) return; mCircle.setCenterX(mCircle.getCenterX() - 10); } } public static void main(String[] args) { Application.launch(args); } }.

Write a program that moves the ball in a pane. You should define a pa.pdf

lohithkart

1. Answer the following questions about OSI model: a.At which layer of the OSI reference model, routers operate? b. At which level of the OSI model, bits are packaged into frames? c. List the layers of the OSI model from top to down. d. Mark those from the following list that operate at the presentation layer? i.MIDI ii.FTP iii.SMTP iv.TFTP v.JPEG e. List the two protocols at the Transport Layer. f. What is the difference between logical and physical address? Do your research (do not copy your answer). Which type of address is used in the network layer of the OSI model? g. Which OSI layer implements IP? 2. Answer the following questions about Router: a. What is a router? b. How many types are routers are available to use? Name them. c. Explain how a router works? d. How many interfaces can be assigned to a router? 3. Describe the components of address classes A~E of TCP/IP addresses. Also explain mathematically how many maximum network and hosts per network can be addressed by these classes. 4. Answer the following questions: a. what is the difference between IP address and MAC address? b. What is the difference between IPv4 and IPv6? Why IPv6 was introduced? Show an example of each and explain how they are represented mathematically. Solution 1) a) At what level of OSI the routers operates : The routers operates at the third layer of the model which is Network Control Layer, where a router examines the packets\' data structure and determine whether to forward or not. b) At which level of the OSI model, bits are packaged into frames : Bits are packaged into frames at data link layer, which setups the links accross the physicsl network. c) Layers of OSI model : The seven layers of OSI are Physical Layer, Data Link Layer, Network Layer, Transport Layer, Session Layer, Presentation Layer, Application Layer. Application Layer : At this layer communication partners are identified where we see some one to talk to. Presentation Layer : This is basically part of Operation System where incoming and outgoing data are changed from one format to another. Session Layer: This layer basically handles session and conversations/communications where services include authentication and reconnecting service after interruption. Transport Layer : This layer manages packetiztion of data, delievery of those packets, checking for error. Network Layer : This part is responsible for handling addressing and routing of packets. Data Link Layer : This setup links between physical networks putting packets into frames. Physical Layer : This layer communicates, conveys bit stream through network. d) The protocols that work on transport layer are UDP(User DataGram Protocol), TCP(Transmission Control Protocol) e) Logical Address : In terms of memory logical address is the location where an item resides with the perspective of executing program. Physical Address : Its the actual address or location residing in memory which is defined in binary form. g) The Network Layer impleme.

1. Answer the following questions about OSI modela.At which layer.pdf

lohithkart

17. Of these, which represents a heterozygote? a. aa b. Aa c. AA d. both a. and c. 18. Active transport across a cell membrane is a. moving a molecule from lower to higher concentration b. moving a molecule from higher to lower concentration c. moving a molecule from outside the cell to inside the cell d. a method by which cells get rid of waste products 19. All of the following are true about the cell membrane except _____. a. They are mainly composed of lipids and proteins b. All polar molecules pass freely, directly through the membrane c. They are selectively permeable. d. They have a lipid bilayer 20. Which cellular process produces the most ATP? a. Photosynthesis b. aerobic respiration c. meiosis d. anaerobic respiration 21. A plant can regulate the amount of water in its cells by a. moving to a more aqueous environment b. increasing the amount of solute in the cytoplasm c. reducing its rate of respiration d. drinking a tall glass of refreshing rain water 22. Eye color is represented by the alleles AaBBCc. This is an example of ______. a. complete dominant inheritance b. heterozygote advantage c. sex-linked inheritance d. polygenic inheritance 23. During amniocentesis the baby\'s cells are obtained from the ____. a. fluid around the embryo b. placenta c. uterine wall d. developing embryo Solution 17.The word \'hetero\' itself means different and zygote means an eukaryotic cell formed by a fertilization event between two gametes.The answer is (b) as there are two different alleles A and a. 18.a)moving a molecule from lower to higher concentration. When the movement of molecules across acell membrane from a region of their lower concentration to aregion of their higher concentration in the direction against some gradient or the other obstructing factor this is called active transport. 19.(b)All polar molecules pass freely,directly through the membrane. The cell membrane allows only selective molecules to pass,which are required to the membrane. 20.(aerobic respiration) Beccause the majority of ATP is produced in the mitochondria during aerobic respiration. 21.(b)increasing the amount of solute in the cytoplasm because the stomata opens up and aquire the water and stores it.The amount of water in the cells get regulated by increasing the amount of solute in the cytoplasm. 22.(d)Polygenic inheritence As the capital letters are indicated as dominant.Here A has appeared once,B has appeared twice and C has appeared once ,which becomes a dominant allele as there are less recessive characters. 23.(a)Fluid around the embryo Which has cell of the baby and help in diagnosing,whether the baby is a male or female by chromosomal detection..

17. Of these, which represents a heterozygote a. aa b. Aa c. .pdf

lohithkart

When a researcher is working with a large set of scale data, which measures are we most likely to see her report? When a researcher is working with a large set of scale data, which measures are we most likely to see her report? Solution There are four scale of measures 1) Ordinal 2) Nominal 3) Interval 4) Ratio These are all measures of Qualitative characteristics We usually use frequency distribution and classify the data in different class For the measure of central tendency median or mode is most frequently used and we do not use median which is an average of the given values The mode, median are allowed to measure central tendency of interval variables, while measures of statistical dispersion include range and standard deviation. Since one can only divide by differences, one cannot define measures that require some ratios, such as the coefficient of variation. More subtly, while one can definemoments about the origin, only central moments are meaningful, since the choice of origin is arbitrary. One can define standardized moments, since ratios of differences are meaningful, but one cannot define the coefficient of variation, since the mean is a moment about the origin, unlike the standard deviation, which is (the square root of) a central moment..

When a researcher is working with a large set of scale data, whic.pdf

lohithkart

Which functions of the lymphatic system are not assisted by another system? Explain. Solution The functions of lymphatic system that are not assisted by another system is the transport of white blood cells containing lymph to all parts of the body.This function is carried out by the help of lymphatic vessels or ducts that are connected to lymph nodes to filter the lymph.The right lymphatic duct and the thoracic lymphatic duct together drain lymph to the right side of neck,head ,arm and to the circulatory system via left subclavian vein..

Which functions of the lymphatic system are not assisted by another s.pdf

lohithkart

The symbiotic relationship in which the symbiotic benefits from the relationship but the host u neither harmed nor benefited is called: mutualism. parasitism. commensalism. competition. niche interactivity. Communities of organisms are made up of: populations of different species. different habitats. two or more populations of the same species. ecosystems. interacting niches. The primary source of energy for primary production is: high temperatures. sunlight. hydrogen bonds. glucose. carbohydrates. Chemosynthetic organisms use the energy from ____ to produce organic molecules. the sun chemical reactions the water other organisms. glucose The proper order of predator-prey relationships is herbivore-producer-carnivore. carnivore- producer-herbivore. herbivore-carnivore-producer. producer-herbivore-carnivore. carnivore- herbivore-producer. With each change in trophic level we can expect a _____ % transfer of biomass. 5 10 25 50 20 When nutrients are limited, they do all the following except: reduce metabolism. decrease growth rates. a fleet growth form. immobilize an organism. cause algal blooms. Solution 1. Mutualism: It is a way two organisms of different species exist in a relationship in which each indiviual benefits from the activity of other. Parasitism: It is a non-mutual relationship between species, where one species, the parasite, benefits at the expense of other, the host. Commensalism: is relationship between indiviuals of two species, in which one species obtains food or other benefits form the other without either harming or benefitting the latter. Compettion: Competition is an interaction between organisms in which both the species are harmed. The correct answer is Option C. 2. A community of organisms is made up of populations of different species that interact with each other in some way. Option A is the correct answer. 3. The primary source of energy for the primary production in plants is sunlight. Sunlight is trapped in the leaves of the plants and is used to synthesize glucose. The correct answer is B..

The symbiotic relationship in which the symbiotic benefits from the r.pdf

lohithkart

What are brain ventricles. and what functions have been ascribed to them over the ages? What experiment did Bell perform to show that the nerves of the body contain a mixture of sensory and motor fibres? What did Flourens\' experiments suggest were the functions of the cerebrum and the cerebellums? What is the meaning of the term animal model? A region of the cerebrum is now called Broca\'s area. What function do you think this region performs, and why? What are the different levels of analysis in neuroseience research? What questions do research- ers ask at each level? What are the steps in the scientific process? Describe each one. Allman JM. 1999. Evolving Brains, New York: Scientific American Library. Clarke E, O\'Malley C. 1968. The Human Brain and Spinal Cord, 2nd ed. Los Angeles: University of California Press. Corsi P, ed. 1991. The Enchanted Loom. New York: Oxford University Press. Crick F. 1994. The Astonishing Hypothesis: The Scientific Search for the Soul. New York: Macmillan Finger S. 1994. Origins of Neuroscience. New York: Oxford University Press. Glickstein M. 2014. Neuroscience: A Historical introduction. Cambridge, MA: MIT Press. Solution Ques-1: What are brain ventricles, and what functions have been ascribed to them over the ages? Answer: Brain ventricles: these are the cerebrospinal fluid filled spaces mainly present within the brain useful to protect brain from shocks. Over the ages mainly from Anno domino 130 to 200, scientist and Greek physician, Galen have illustrated about these hollow and fluid filled spaces. According to him, brain ventricles are going to function for a balance of cerebrospinal fluids and sensation and humors associated with movements are mediated by these brain ventricles within the brain through cranial nerves. According to Galen, these ventricles are mainly involved in registering sensations and perceptions finally to promote motor activity through limb movements. French scientists have illustrated that these ventricles are mainly enabled fluid- mechanical theory of brain function to mediate limb movements via muscle activity..

What are brain ventricles. and what functions have been ascribed to t.pdf

lohithkart

More from lohithkart (20)