An aircraft firm is considering three different alloys for use in the wing construction of a new airplane. Each alloy can be produced in four different thicknesses (1 = thinnest, 4 = thickest). Two test samples are constructed for each combination of alloy type and thickness, then each of the 24 test samples is subjected to a laboratory device the severely flexes it until failure occurs. For each test sample the number of flexes before failure is recorded, with the results shown in the Aircraft worksheet in the ANOVA HW data workbook on Moodle.
a) Use JMP to fit a two-way ANOVA to the data. Using alpha = 0.05 draw conclusions for the ANOVA. Make sure you state your conclusion in the context of the problem.
b) Does there appear to be a need to include the alloy type / thickness interaction term?
c) Use JMP to fit a two-way ANOVA with interaction to the data. Using alpha= 0.05 draw conclusions for the ANOVA. Make sure you state your conclusion in the context of the problem.
Alloy Thickness Flexes
Alloy A Thickness 1 804
Alloy A Thickness 1 816
Alloy A Thickness 2 819
Alloy A Thickness 2 813
Alloy A Thickness 3 820
Alloy A Thickness 3 821
Alloy A Thickness 4 806
Alloy A Thickness 4 805
Alloy B Thickness 1 836
Alloy B Thickness 1 828
Alloy B Thickness 2 844
Alloy B Thickness 2 836
Alloy B Thickness 3 814
Alloy B Thickness 3 811
Alloy B Thickness 4 811
Alloy B Thickness 4 806
Alloy C Thickness 1 804
Alloy C Thickness 1 808
Alloy C Thickness 2 807
Alloy C Thickness 2 819
Alloy C Thickness 3 819
Alloy C Thickness 3 829
Alloy C Thickness 4 827
Alloy C Thickness 4 835
In: Statistics and Probability
4. Trautwein and Ammerman hypothesize that mode of communication is related to speech perception after the study.
a. What inferential test would they use to complete the analysis? Why? b.
Complete parts B and D of the analysis, using an obtained value of 8.1. You may round speech perception scores.
| DEHS Data Set for Assessment Projects | ||||||||||||||||
| INTD 5064 Applied Statistics for Health Care Practitioners | ||||||||||||||||
| CI Subjects | ||||||||||||||||
| Subject ID | Group | Gender | Mode of Communication | ESP-Pre | TL-Pre | AC-Pre | EC-Pre | ESP Post | CLS-Post | RLI-Post | ELI-Post | LCI-Post | LSI-Post | GF-Post | ||
| C01 | 1 | 1 | 1 | 1 | 86 | 89 | 95 | 3 | 95 | 96 | 99 | 90 | 88 | 101 | ||
| C02 | 1 | 2 | 1 | 1 | 82 | 85 | 85 | 3 | 85 | 89 | 87 | 83 | 78 | 89 | ||
| C03 | 1 | 1 | 1 | 1 | 85 | 78 | 80 | 3 | 90 | 92 | 88 | 88 | 84 | 85 | ||
| C04 | 1 | 1 | 1 | 2 | 81 | 81 | 82 | 2 | 80 | 88 | 84 | 79 | 76 | 105 | ||
| C05 | 1 | 2 | 1 | 1 | 92 | 95 | 100 | 4 | 100 | 100 | 95 | 98 | 104 | 82 | ||
| C06 | 1 | 1 | 1 | 1 | 79 | 80 | 72 | 4 | 92 | 94 | 90 | 92 | 82 | 90 | ||
| C07 | 1 | 1 | 1 | 1 | 78 | 80 | 74 | 3 | 84 | 88 | 79 | 86 | 80 | 80 | ||
| C08 | 1 | 2 | 1 | 1 | 111 | 115 | 102 | 3 | 120 | 122 | 112 | 109 | 110 | 102 | ||
| C09 | 1 | 1 | 1 | 2 | 87 | 89 | 79 | 4 | 88 | 92 | 87 | 87 | 82 | 82 | ||
| C10 | 1 | 2 | 1 | 2 | 99 | 98 | 89 | 4 | 100 | 98 | 90 | 104 | 106 | 95 | ||
| C11 | 1 | 1 | 1 | 1 | 67 | 69 | 68 | 3 | 79 | 84 | 82 | 70 | 78 | 77 | ||
| C12 | 1 | 2 | 2 | 1 | 102 | 100 | 98 | 2 | 95 | 98 | 93 | 96 | 90 | 82 | ||
| C13 | 1 | 1 | 2 | 1 | 74 | 74 | 70 | 2 | 70 | 72 | 70 | 71 | 68 | 74 | ||
| C14 | 1 | 2 | 2 | 1 | 68 | 65 | 70 | 1 | 67 | 69 | 66 | 65 | 68 | 70 | ||
| C15 | 1 | 1 | 2 | 1 | 95 | 90 | 101 | 2 | 90 | 92 | 88 | 85 | 95 | 87 | ||
| C16 | 1 | 1 | 2 | 1 | 75 | 77 | 76 | 2 | 72 | 75 | 70 | 74 | 68 | 69 | ||
| Non CI Subjects | ||||||||||||||||
| Subject ID | Group | Gender | Mode of Communication | ESP-Pre | TL-Pre | AC-Pre | EC-Pre | ESP Post | CLS-Post | RLI-Post | ELI-Post | LCI-Post | LSI-Post | GF-Post | ||
| S01 | 2 | 2 | 2 | 1 | 95 | 89 | 100 | 2 | 93 | 89 | 85 | 100 | 92 | 82 | ||
| S02 | 2 | 1 | 2 | 1 | 87 | 85 | 95 | 1 | 80 | 83 | 82 | 80 | 78 | 70 | ||
| S03 | 2 | 2 | 2 | 2 | 76 | 78 | 80 | 1 | 78 | 72 | 70 | 77 | 80 | 65 | ||
| S04 | 2 | 1 | 2 | 1 | 75 | 73 | 72 | 2 | 73 | 71 | 72 | 75 | 72 | 68 | ||
| S05 | 2 | 1 | 2 | 1 | 79 | 78 | 80 | 1 | 80 | 70 | 72 | 85 | 81 | 63 | ||
| S06 | 2 | 1 | 2 | 1 | 77 | 78 | 74 | 1 | 75 | 77 | 68 | 85 | 70 | 71 | ||
| S07 | 2 | 1 | 2 | 1 | 78 | 80 | 72 | 2 | 72 | 75 | 70 | 72 | 69 | 60 | ||
| S08 | 2 | 2 | 2 | 1 | 77 | 81 | 75 | 1 | 80 | 89 | 73 | 75 | 78 | 65 | ||
| S09 | 2 | 1 | 2 | 1 | 87 | 88 | 84 | 1 | 80 | 84 | 80 | 75 | 80 | 68 | ||
| S10 | 2 | 1 | 2 | 1 | 89 | 98 | 82 | 3 | 90 | 100 | 85 | 85 | 85 | 78 | ||
| S11 | 2 | 2 | 2 | 1 | 90 | 94 | 92 | 1 | 85 | 90 | 82 | 79 | 87 | 72 | ||
| S12 | 2 | 1 | 2 | 1 | 73 | 78 | 72 | 1 | 70 | 74 | 67 | 79 | 68 | 66 | ||
| S13 | 2 | 2 | 2 | 1 | 74 | 74 | 75 | 1 | 70 | 72 | 69 | 67 | 75 | 67 | ||
| S14 | 2 | 2 | 2 | 1 | 68 | 65 | 68 | 2 | 62 | 60 | 61 | 67 | 60 | 55 | ||
| S15 | 2 | 1 | 2 | 1 | 75 | 74 | 72 | 1 | 71 | 77 | 67 | 75 | 71 | 70 | ||
| S16 | 2 | 1 | 2 | 1 | 74 | 77 | 73 | 1 | 77 | 74 | 68 | 80 | 72 | 65 | ||
In: Statistics and Probability
On the basis of walmart company answer the following
questions;
Warehouse application criteria:
1 important functions of warehousing
2 operating principle of warehouse design
3 economic and service benefits of warehousing
4 consolidation, break bulk and cross-dock warehouse
5 contract warehouse
Strategic marketing application criteria:
1 strategic planning and strategic marketing
2 overall sales strategy and sales budget
3 forecasting approaches
4 types of distribution channels.
5 channel strategy and channel design
Distribution channel application criteria:
1 strategic role of intermediaries.
2Types of distribution channel function
3 channel strategy decisions
4 channel design and competetive advantage
Planning, sales forecasting and budgeting application
criteria:
1 strategic planning and linkage to strategic marketing
2 efficient and effective sales strategy
3 forecasting approaches and methods of sale forecasting
4 purpose and process of sales budget
In: Economics
Below is information on several bonds of different maturities and coupon rates that trade in the same market. If the bonds pay a coupon, you may assume that the coupon is paid semi-annually, with the next coupon payment six months away. All bonds have a face value of $1,000.
For Bonds 1-4, assuming that they are fairly valued, calculate the spot interest rates for maturities of 0.5, 1.0, 1.5 and 2.0 years.
What is the Yield to Maturity (YTM) for each of the four (4) bonds?
Bond 5 trades in this market place. It has a maturity of 1 year, a coupon rate of 3.5% per year (paid semi-annually) and a face value of $1,000. What is the value of the bond?
| Coupon | Maturity | Price | |
| Bond 1 | 0% | 6 months | 995.02 |
| Bond 2 | 0% | 1 year | 989.09 |
| Bond 3 | 2% | 1.5 years | 1012.86 |
| Bond 4 | 4% | 2 years | 1056.22 |
In: Finance
1. You have 4 groups with an overall sample size of n = 20. The F critical value at the alpha = 0.05 level of significance is 3.24. Complete the following 1 factor ANOVA table below:
|
ANOVA table |
||||
|
Source |
SS |
df |
MS |
F |
|
Treatment |
258.00 |
________ |
________ |
________ |
|
Error |
164.80 |
________ |
________ |
|
|
Total |
422.80 |
Is there a significant difference (α=0.05) between at least two of the four groups for the analysis in question 1 (above)? (circle one) YES NO
|
Group 1 |
Group 2 |
Group 3 |
|
2 |
2 |
3 |
|
5 |
5 |
4 |
|
4 |
2 |
8 |
|
7 |
3 |
7 |
|
6 |
1 |
7 |
|
ANOVA table |
|||||
|
Source |
SS |
df |
MS |
F |
p-value |
|
Treatment |
________ |
________ |
________ |
________ |
________ |
|
Error |
________ |
________ |
________ |
||
|
Total |
________ |
Is there a significant difference (α=0.05) between at least two of the four groups for the analysis in question 1 (above)? (circle one) YES NO
Confidence interval for Group 1 ( _________ , _________)
Confidence interval for Group 2 ( _________ , _________)
Confidence interval for Group 3 ( _________ , _________)
Is Group 1 significantly different from Group 2 at the α=0.05 level of significance YES NO
Is Group 1 significantly different from Group 3 at the α=0.05 level of significance YES NO
Is Group 2 significantly different from Group 3 at the α=0.05 level of significance YES NO
In: Statistics and Probability
Stack
Time Limit : 1 sec, Memory Limit : 131072 KB
English / Japanese
Reverse Polish notation is a notation where every operator follows all of its operands. For example, an expression (1+2)*(5+4) in the conventional Polish notation can be represented as 1 2 + 5 4 + * in the Reverse Polish notation. One of advantages of the Reverse Polish notation is that it is parenthesis-free.
Write a program which reads an expression in the Reverse Polish notation and prints the computational result.
An expression in the Reverse Polish notation is calculated using a stack. To evaluate the expression, the program should read symbols in order. If the symbol is an operand, the corresponding value should be pushed into the stack. On the other hand, if the symbols is an operator, the program should pop two elements from the stack, perform the corresponding operations, then push the result in to the stack. The program should repeat this operations.
Input
An expression is given in a line. Two consequtive symbols (operand or operator) are separated by a space character.
You can assume that +, - and * are given as the operator and an operand is a positive integer less than 106
Output
Print the computational result in a line.
Constraints
2 ≤ the number of operands in the expression ≤ 100
1 ≤ the number of operators in the expression ≤ 99
-1 × 109 ≤ values in the stack ≤ 109
Sample Input 1
1 2 +
Sample Output 1
3
Sample Input 2
1 2 + 3 4 - *
Sample Output 2
-3
USE JAVA
In: Computer Science
1. Assume that hanging a 100 gram mass from a given spring stretches the spring by 2 cm. If two springs of this kind are connected back to back (series configuration), how much would the combination stretch if a 200 gram mass is suspended?
a. 1 cm
b. 2 cm
c. 3 cm
d. 4 cm
e. none of these
2. What would be the answer to the previous question if the two springs were connected in parallel configuration?
a. 1 cm
b. 2 cm
c. 3 cm
d. 4 cm
e. none of these
In: Physics
The following equation summarizes the trend portion of quarterly
sales of condominiums over a long cycle. Sales also exhibit
seasonal variations.
Ft = 64 − 5.4t + 4.4t
2
where
Ft = Unit sales
t = 0 at the first quarter of last year
| Quarter | Relative |
| 1 | .90 |
| 2 | 1.10 |
| 3 | .40 |
| 4 | 1.60 |
Using the information given, prepare a forecast of sales for each
quarter of next year (not this year), and the first quarter of the
year following that. (Round intermediate calculations and
final answers to 2 decimal places.)
| Quarter | Forecast |
| 1 | |
| 2 | |
| 3 | |
| 4 | |
| 1 | |
In: Statistics and Probability
The following equation summarizes the trend portion of quarterly
sales of condominiums over a long cycle. Sales also exhibit
seasonal variations.
Ft = 53 − 4.3t + 3.3t
2
where
Ft = Unit sales
t = 0 at the first quarter of last year
| Quarter | Relative |
| 1 | 1.05 |
| 2 | 1.05 |
| 3 | .55 |
| 4 | 1.35 |
Using the information given, prepare a forecast of sales for each
quarter of next year (not this year), and the first quarter of the
year following that. (Round intermediate calculations and final
answers to 2 decimal places.)
| Quarter | Forecast |
| 1 | |
| 2 | |
| 3 | |
| 4 | |
| 1 | |
In: Finance
ASAP
(Algebra: vertex form equations) The equation of a parabola can be expressed in either standard form (y = ax^2 + bx + c) or vertex form (y = a(x-h)^2 + k). Write a program that prompts the user to enter a, b, and c as integers in standard form and displays h and k in the vertex form. Hint: Use the Rational class in LiveExample 13.13 for computing h and k. Use the template at https://liveexample.pearsoncmg.com/test/Exercise13_21Test.txt for your code. Sample Run 1 Enter a, b, c: 1 3 1 h is -3/2 k is -5/4 Sample Run 2 Enter a, b, c: 2 3 4 h is -3/4 k is 23/8 Class Name: Exercise13_21 If you get a logical or runtime error, please refer https://liveexample.pearsoncmg.com/faq.html.
In: Computer Science