ABS201Y1 Lecture : Master Harold and the Boys.docx

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lilacwhale415

22 Apr 2012

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There"s no collisions out there, hally like being in a deam about a world in which accidents don"t happen. p. 45. And it"s beautiful because that is what you want life to be like. But instead, like you said, hally, we"re bumping into each other all the time . (p. 46) It"s a bloody awful world when you come too think of it. Don"t confuse historical significance with greatness (p. 18) Tolstoy may have educated peasants, but i"ve educated you (p. 28) Anybody who thinks there"s nothing wrong with this world needs to have his head examined (p. 35) Grabs hi ruler and gives willy a vicious wack on the bum p. 38. Would i be stretching poetic license a little too far if i called your ballroom championships a cultural event? (p. 43) The release of primitive emotions through movement (p. 43) Just when you"re enjoying yourself, someone or something will come along and wreck everything p. 47.

Related Questions

The narrator of the account in document 2 explains,

“Their dogs are enormous, with flat ear, and long, dangling tongues. The color of their eyes in is burning yellow; their eyes flash fire and shoot off sparks.”

Which statement below best explains the historical significance of that description?

◯ A. This passage helps historians understand the implications of both the biological and technological exchange that occurred at the time the Spaniards arrived in America.

◯ B. This passage reveals how the native Americans looked down on the Spanish as weak and soft, because they seemed lazy and lacked physical fitness.

◯ C. The natives could relate to the newcomers, due to the similarity of their animals, which shows the universality of the human experience.

◯ D. This passage provides proof that the indigenous people of what is now Mexico were much shorter than Euoropeans of that time.

faithknox25

Evaluate the following case study. Determine the actual vs. Potential problems this client may be facing. Keep your nursing diagnosis according to the NANDA guidelines.

DEVELOPMENTAL

Mr. X is a pleasant 67 year African American male who has significant problems with his health history. He lives with his second wife and one of his children in a rental home. The patient has some college and worked in various positions until his health forced him to apply for SDI earlier this year. His history is significant for tobacco and alcohol abuse. The patient states he had his last drink 10 years ago and quit smoking 15+ years ago.

He considers himself a man of faith and received solace from the chaplain visits. His wife and daughter are in good health and will be able to provide good environment for recovery. It is important that the wife and daughter are educated regarding food choices for Mr. X and how to monitor his blood glucose levels. His past medical history shows a poor monitoring and control. Education about the value of monitoring as it relates Mr. X health may help improve compliance.

Mr. X is at Erickson's Ego integrity vs Despair stage. It is normal at this time of life to reflect upon accomplishments and contributions and ask yourself if you have done good over life. An unhealthy preoccupation with missed opportunities will inhibit thinking about the positive contributions that your life has made. Mr. X has a chance to move to the Ego Integrity. I think it may be difficult because history would seem to indicate a struggle to pass through the previous adult phases. With help from the VA system and his support team at home, this may be the opportunity Mr. X moves into the healthy part of his phase.

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

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?

A. Alpha and Delta

B. Delta and Gamma

C. Alpha and Gamma

D. Standard Deviation and Mean

3. 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.

A. Ho: r = .05 p < .5

B. Ho: r = 0 p >.05

C. Ho: r ? 0 p?.05

D. Ho: r = 0 p?.05

In decomposition what does the cycle factor (CF) of .80 represent for a monthly forecast estimate of a Y variable?

A. The estimated value is 80% of the average monthly seasonal estimate.
B. The estimate is .80 of the forecasted Y trend value.
C. The estimated value is .80 of the historical average CMA values.
D. The estimated value has 20% more variation than the average historical Y data values.

5. A Wendy's franchise owner notes that the sales per store has fallen below the stated national Wendy's outlet average of $1,368,000. 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?

A. H1: u ? $1,368,000 A one-tailed t-test to the left.
B. H1: u = $1,368,000 A two-tailed t-test.
C. H1: u < $1,368,000 A one-tailed t-test to the left.
D. H1: p < $1,368,000 A one-tailed test to the right

6. As the sample size from a population increases, for a given level of significance what happens to the null hypothesis rejection region and size of the t-table value?

A. The rejection region and the t-table value generally gets smaller for sample size below 31.
B. The rejection region gets larger and the t-table value generally gets smaller for sample sizes below 31.
C. The rejection region remains unchanged while the t-table value gets smaller for all sample sizes.
D. The zero mean hypothesis region gets larger and the t-table value gets larger as well for sample sizes below 31.

7. You obtained autocorrelation LBQ value of 18.58 for the 12^th lag from a data sample. Are the data significantly correlated at the lag examined or not? You want to be 95% confident in your answer.

A. Yes. The data are significantly correlated through the 12th lag.
B. No. The data are not significantly correlated through the 12^th lag.

C. No. Only the 12 lag period is not correlated.

D. You cannot tell since the number of sample observations is not provided.

E. The p-value is above .05 so the data is correlated.

8. Sometimes forecasters get lazy or forgetful and do not check the significance of XY data correlations and use the X variable to forecast Y. What is the result of this?

A. Type 2 error
B. Autocorrelation error
C. Type 3 error
D. Type 1 error

9. Do error measures indicate the statistical significance of forecast model variables?

A. Yes. They move in the same direction as statistical significance.
B. Yes. As error measures decrease the variable significance increases.
C. No They indicate only the magnitude of estimate error.
D. No. They indicate only the statistical significance of a forecast or fitted values.

10. In exponential smoothing what is the weight of the alpha coefficient for a time series data observation from the 3^rd previous period if the original alpha value is set at .8?

A. The weight cannot be calculated since the data observation is not given.
B. The weight is zero since the alpha value is set relatively high.
C. .548
D. .0064

11.Given the data series below for variables Y (Monthly Inventory Balance) and X (Monthly Sales) are they significantly correlated at the 95% confidence level and how can you tell?

Ending Inv. Bal. Y		Monthly Sales X
1544		5053
1913		5052
2028		7507
1178		2887
1554		3880
1910		4454
1208		3855
2467		8824
2101		5716

A. Yes. The correlation coefficient is .873 that is greater than .05.
B. Yes. The correlation p-value is .002 which is less than .05.
C. No. The correlation coefficient is above the p-value.
D.No. The correlation p-value is greater than the 95% confidence level.

12. You have forecast the sales for your company for the last 12 months and the forecast residuals are shown below. Are these residuals to be considered random?
Residuals

-24

-348

-892

-62

-378

-489

-342

490

578

198

A. Yes, since the residuals randomly vary in magnitude.
B. Yes since the residuals are positive and negative and vary in magnitude.
C. No, since the residuals are stationary and vary in magnitude.
D. No, since the residuals indicate positive slope.

13. Given the residuals in problem 12 above what is the RMSE for the forecast?

A. -101.0
B. 411.8
C. 169603
D. 220.1

14. Which form of exponential smoothing can result in a na

ABS201Y1 Lecture : Master Harold and the Boys.docx

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