The Lawnpoke Golf Association (LGA) has established rules that manufacturers of golf equipment must meet for their products to be acceptable for LGA events. BatOutaHell Balls uses a proprietary process to produce balls with a mean distances of 295 yards. BatOutaHell is considered that if the mean distance falls below 295 yards, the word will get out and sales will sag. Further, if the mean distance exceeds 295 yards, their balls may be rejected by LGA. Measurements of the distances are recorded in DATA. At a = 0.05, test the no action hypothesis that the balls have a mean distance of 295 yards.
| Yards |
| 290 |
| 272 |
| 277 |
| 287 |
| 274 |
| 305 |
| 288 |
| 297 |
| 307 |
| 284 |
| 272 |
| 280 |
| 293 |
| 279 |
| 303 |
| 295 |
| 292 |
| 289 |
| 279 |
Please choose one of the following options:
Test test statistic is 1.297 and the critical value is 1.734, therefore the test statistics is less than the critical value and the null hypothesis is not rejected. The distance is about 295 yards.
The test statistic of 1.908 is greater than the critical value of 1.734, therefore H0 is rejected. It is reasonable to assume that the distance is not 295 yards.
The test statistic is 3.003 and the critical value is 1.734, therefore the test statistic is greater than the critical value of 1.734 and the null hypothesis is rejected. The distance is not 295 yards.
The test statistic of 2.238 is greater than the critical value of 1.734, therefore H) is rejected. It is reasonable to assume that the distance is not 295 yards.
In: Statistics and Probability
Remember: if p < .05, then you reject the null hypothesis and accept the alternative hypothesis. If p > .05, then you accept the null hypothesis and reject the alternative hypothesis. In a two-tailed hypothesis test, the null hypothesis means there is no significant difference between the groups, then in the alternative hypothesis you state there is a significant difference between the groups. 1. Watch the below video on the Chi-Square Method. Video: Chi-Square Test A. Identify what the null and alternative hypothesis are in the chi-square method video example (use a two-tailed hypothesis for both null and alternative). B. Identify the P value in the video example C. Use hypothesis testing to either accept or reject the null or alternative hypothesis. D. Interpret the results from the video and how they can be applied in real life. 2. Watch the video below on the ANOVA method. Video: ANOVA Excel A. Identify what the null and alternative hypothesis are in the ANOVA method video example (use a two-tailed hypothesis for both null and alternative). B. Identify the P value in the video example C. Use hypothesis testing to either accept or reject the null or alternative hypothesis. D. Interpret the results and how they can be applied in real life. 3. How can you use the Chi-Square and ANOVA statistical methods in your future career (200 word minimum).
In: Statistics and Probability
Currently Sam and Carla have the only taxi services in a small town. Both Sam and Carla are thinking about discounting their respective fares by 20% to attract more business.
The possible outcomes of this game are as follows.
First: Sam offers discounts, while Carla does not, which will result in Sam earning $400 in profit and Carla earning $800 in profit.
Second: Sam and Carla both offer discounts, which will result in Sam earning $200 in profit and Carla earning $500 in profit.
Third: Sam and Carla both do not offer discounts, which will result in Sam earning $100 in profit and Carla earning $1,000 in profit.
Fourth: Carla offers discounts, while Sam does not, which will result in Sam earning $60 in profit and Carla earning $700 in profit.
a) Please construct a payoff matrix for Sam and Carla uses the outcomes above. (You can use the Table Function in Word to create a payoff matrix.)
|
Carla Offers Discounts |
Carla Does Not Offer Discounts |
|
|
Sam Offers Discounts |
||
|
Sam Does Not Offer Discounts |
b) Does Sam have a dominant (optimal) strategy? Please explain your answer.
c) Does Carla have a dominant (optimal) strategy? Please explain your answer
D) Is there an equilibrium (Nash Equilibrium) solution to this problem where we can predict the strategy of both Sam and Carla? Please explain your reasoning.
In: Economics
Two-way ANOVA:
An industrial psychologist was interested in the impact of Introductory Message (general greeting, inquiry, or statement) and Type of Phone (land line or cell) on the length of a phone call. The data appear below.
Use SPSS to analyze the data and answer the following questions. Be sure to include your SPSS output (you will need to copy/paste the ANOVA table into a Word document first).
Phone Message
|
Phone Type |
General |
Inquiry |
Statement |
|
Land Line |
8 9 8 4 7 5 |
8 10 9 6 7 8 |
3 4 5 6 2 1 |
|
Cell |
9 8 6 7 10 9 |
10 8 7 6 5 8 |
2 1 4 3 3 2 |
In: Statistics and Probability
1.) A hospitality operation may maintain a number of different inventory accounts. What determines if an inventory account is classified as a current asset or an other asset?
2.) What is the key word that defines the difference between direct cost and indirect cost?
3.) A new restaurant purchased the following wine during the first month of operations:
March 2: Purchased 12 each 750 ml bottles of M & B wine @ $12.50 each.
March 16: Purchased 24 each 750 ml bottles of M & B wine @ $13.50 each.
March 31: Sold 32 bottles during March @ $26 each. Determine the value of the ending inventory and cost of sales for M & B for March using the following:
a. First-in, first-out method
b. Last-in, first-out method
c. Weighted average method
4.) Identify the missing dollar amounts in the equation shown below:
BI + P - EI = CS
$38,000 + ? - $24,000 = $102,000
5.) A hospitality operation began with retained earnings of $146,000. During the year, cash dividends of $100,000 were paid to the owners. Net income for the year was $228,000. Answer the following:
a. What is the ending balance of retained earnings?
b. What would be the ending balance of retained earnings if a net loss of $12,200 had been reported rather than the net income?
In: Accounting
The James Children’s Hospital (JCH), based in Washington DC, has been operating has an operating budget of $15 million and has been operating at a budget surplus for the past two years. JCH has a $20 million endowment (JCHA) whose sole purpose is to provide capital equipment for the hospital. The endowment’s long-term expected total return is 8.6%, which includes a 3.3% income component. JCHE has no minimum payout requirement and expects no future contributions. Traditionally, the JCHE board of directors has determined the annual payout based on current needs. Payouts have been rising steadily – to $1.375 million two years ago and to $1.4 million last year.
Michelle Parker, CFO of JCHE, has asked the board’s guidance in determining a new long-term spending policy for JCHE. Remove the word knew. She has received $1.6 million in requests to buy equipment and is concerned about the inflation rate for medical equipment prices, which is 4%, versus 2.5% for the U.S. Consumer Price Index.
1 - Discuss the implications of the current pressure on JCHE to increase spending.
2 - Discuss how JCHE’s time horizon affects its risk tolerance.
3 - Determine a long-term spelling policy for JCHE, including a spending rate as a percentage of assets, and justify the policy.
In: Finance
Data set 2 presents a sample of the number of defective flash drives produced by a small manufacturing company over the last 30 weeks. Use Excel's Analysis ToolPak (or any statistical package that you are comfortable with) to compute the regression equation for predicting the number of defective flash drives over time (in weeks), the correlation coefficient r and the coefficient of determination R2. Submit your statistical output from Excel, which should include values for a slope, y-intercept, regression equation, r, and R2, and a one-page Word document in which you present an analysis of your results.
| SUMMARY OUTPUT | Regression equation: $ Flashdrives: = 6.2989 + .0474 week | |||||||
| Regression Statistics | Intercept = 6.2989 | |||||||
| Multiple R | 0.30301 | Slope = 0.0474 | ||||||
| R Square | 0.09181 | |||||||
| Adjusted R Square | 0.05938 | |||||||
| Standard Error | 1.33524 | |||||||
| Observations | 30 | |||||||
| ANOVA | ||||||||
| df | SS | MS | F | Significance F | ||||
| Regression | 1 | 5.046607341 | 5.046607341 | 2.830625754 | 0.103603045 | |||
| Residual | 28 | 49.92005933 | 1.782859262 | |||||
| Total | 29 | 54.96666667 | ||||||
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
| Intercept | 6.29885 | 0.500010149 | 12.59744544 | 4.69443E-13 | 5.274626214 | 7.323074935 | 5.274626214 | 7.323074935 |
| X Variable 1 | 0.04739 | 0.02816493 | 1.68244636 | 0.103603045 | -0.01030726 | 0.105079229 | -0.01030726 | 0.105079229 |
In: Statistics and Probability
During your review of the audit field work completed by a new junior employee of the audit firm, John Smith, you have noted many areas which require additional review notes. John, who has just completed the interim audit of Taxon Ltd for the year ended 30 June 2019, has just performed testing of controls. When testing controls over payments made to related parties, there should be evidence of approval and sign-off by the chief financial officer (CFO). John selected a sample of payments made to related parties and vouched them back to the electronic funds transfer (EFT) forms to sight the CFO’s signature of approval. Based on a sample of ten payments, six had been approved by the CFO in writing. However, the remaining four EFT forms (for immaterial amounts) did not have the CFO’s signature, but John noted that the CFO had given verbal approval. John concluded that because all internal controls were working, the audit team could use analytical procedures alone to audit payments made to related parties. Required: Based on the results of the testing of controls outlined above, determine whether John has arrived at the appropriate conclusion? (1 mark) Justify your answer by addressing the following areas: the risks associated with related party transactions, and the reliability of controls at Taxon Ltd. (Word Limit: Minimum of 150 words. Maximum of 600 words)
In: Accounting
Your employer, a midsized human resources management company, is considering expansion into related fields, including the acquisition of Temp Force Company, an employment agency that supplies word processor operators and computer programmers to businesses with temporarily heavy workloads. Your employer is also considering the purchase of Biggerstaff & McDonald (B&M), a privately held company owned by two friends, each with 5 million shares of stock. B&M currently has free cash flow of $24 million, which is expected to grow at a constant rate of 5%. B&M’s financial statements report short-term investments of $100 million, debt of $200 million, and preferred stock of $50 million. B&M’s weighted average cost of capital (WACC) is 11%. Answer the following questions:
Use a pie chart to illustrate the sources that comprise a hypothetical company’s total value. Using another pie chart, show the claims on a company’s value. How is equity a residual claim?
Suppose the free cash flow at Time 1 is expected to grow at a constant rate of forever. If , what is a formula for the present value of expected free cash flows when discounted at the WACC? If the most recent free cash flow is expected to grow at a constant rate of forever (and ), what is a formula for the present value of expected free cash flows when discounted at the WACC?
In: Finance
I'm in a freshmen level physics class now, so I don't know much, but something I heard today intrigued me. My TA was talking about how at the research facility he worked at, they were able to accelerate some certain particle to "99.99% the speed of light". I said why not 100%, and I didn't quite understand his explanation, but he said it wasn't possible. This confused me. Since the speed of light is a finite number, why can we go so close to its speed but not quite?
Edit: I read all the answers, and I think I'm sort of understanding it. Another silly question though: If we are getting this particle to 99.99% the speed of light by giving it some sort of finite acceleration, and increasing it more and more, why cant we increase it just a little more? Sorry I know this is a silly question. I totally accept the fact we cant reach 100%, but I'm just trying to break it down. If we've gotten so close by giving it larger and larger acceleration every time, why cant we just supply it with more acceleration? And how much of a difference is there between 99.99% the speed of light, and the speed of light? (I'm not really sure if "difference" is a good word to use, but hopefully you get what I'm asking).
In: Physics