Some economists have recently argued that currency devaluations or depreciations have lost their ability to improve the current account balance or trade balance of the industrialized economies. The magazine The Economist, for example, observes that “devaluations do not seem to have provided quite the same boost [to exports] recently.” What is the evidence available on the effects of currency depreciation on the current account balance or the trade balance? Is the Economist correct? Please explain.
PLEASE PROVIDE A BRIEF EXPLANATION AND ARTICALS OR RESEARCH WITH A WEBSITE AS REFERENCE TO SUPPORT YOUR ANSWER
In: Economics
4. A magazine, in an article dealing with management, wrote, “When he took over the furniture factory three years ago … [the manager] realized almost immediately that it was throwing away at least $100,000 a year worth of wood scrap. Within a few weeks, he set up a task force of managers and workers to deal with the problem. And within a few months, they reduced the amount of scrap to $7,000 worth [per year].” Was this necessarily an economically efficient move? Explain your answer.
In: Economics
A magazine includes a report on the energy costs per year for 32-inch liquid crystal display (LCD) televisions. The article states that
14
randomly selected 32-inch LCD televisions have a sample standard deviation of
$3.05.
Assume the sample is taken from a normally distributed population. Construct
90%
confidence intervals for (a) the population variance
sigmaσsquared2
and (b) the population standard deviation
sigmaσ.
Interpret the results.
(a) The confidence interval for the population variance is
(Round to two decimal places as needed.)
In: Statistics and Probability
Reflect on the advertising you encounter while watching a favorite TV show, reading a magazine or newspaper, or listening to the radio( like i PHONE ADVERTISMENT ) . Choose one or more of the advertisements you encounter and discuss how specifically (if at all) it is geared to the program you are watching. Also explain how well it addresses your particular demographic and how effectively that advertisement speaks to you personally. What could the sponsors do to make this advertisement more effective along these lines?
In: Psychology
1- Exchange of goods and services?
2- telcommunication company selling talk time through scratch cards? detaild explination at least 5 lines + the example
3- magazine subscription? detaild explination at least 5 lines + the example
4- goods sold under " Sale or Return "? detaild explination at least 5 lines + the example
5- revenue recognition for MEDIA COMPANY when the advertisment are aired even if the payment is not recevied or reveived in advance? detaild explination at least 5 lines + the example
In: Accounting
Develop an advertising strategy for a product of your choice.
What social media will you use and why (YOUTUBE)
- CPC, CPA, CPT
- Explain why you chose these types and how you would specifically apply them with Facebook, Twitter, and YouTube
- use marketing terminology from the text when answering this question
What traditional media will you use?
Billboards, flyers, T.V. commercials, magazines
- be specific to what type of magazine, when you would televise the commercial etc.
In: Operations Management
In: Math
In what ways do advertisers in magazines use sexual imagery to appeal to youth? One study classified each of 1500 full-page or larger ads as "not sexual" or "sexual," according to the amount and style of the dress of the male or female model in the ad. The ads were also classified according to the age group of the intended readership. Here is a summary of the data.
| Magazine readership age group | ||
| Model dress | Young adult | Mature adult |
| Not sexual (percent) | 72.6% | 75.8% |
| Sexual (percent) | 27.4% | 24.2% |
| Number of ads | 1000 | 500 |
Perform the significance test that compares the model dress for the age groups of magazine readership. Summarize the results of your test. (Use α = 0.05. Round your χ2 to three decimal places and round your P-value to four decimal places.)
| χ2 | = | |
| P-value | = |
Give your conclusion.
Fail to reject the null hypothesis. There is not significant evidence of an association between model dress and age group.
Reject the null hypothesis. There is significant evidence of an association between model dress and age group. Fail to reject the null hypothesis. There is significant evidence of an association between model dress and age group.
Reject the null hypothesis. There is not significant evidence of an association between model dress and age group.
In: Statistics and Probability
| Low | Medium | High |
| 14 | 18 | 16 |
| 6 | 17 | 20 |
| 11 | 23 | 18 |
| 12 | 17 | 16 |
| 11 | 10 | 15 |
| 9 | 20 | 16 |
| 6 | 15 | 16 |
| 12 | 17 | 17 |
| 14 | 25 | 11 |
| 11 | 11 | 13 |
| 4 | 18 | 22 |
| 9 | 18 | 16 |
| 7 | 20 | 10 |
| 12 | 21 | 18 |
| 12 | 27 | 9 |
| 17 | 13 | 19 |
| 11 | 22 | 16 |
| 8 | 17 | 12 |
Our worksheets lists the number of 3+ syllable words in each magazine grouped by education level. Use your spreadsheet program to conduct a one-way ANOVA on the data. You can assume the data meets all the assumptions required for a one-way ANOVA (normally distributed, no outliers, etc) What is your critical cutoff value for F?
Which of the following would be an appropriate p value to report for this test?
Should we:
|
fail to reject the null hypothesis - magazine type had no effect on the number of 3+ syllable words in the ads. |
||
|
reject the null hypothesis - the number of 3+ syllable words was significantly different in at least one of the magazine types. |
Let's do post-hoc comparisions between all the groups. Use t-tests to contrast the low-medium, medium-high, and low-high groups.
Before you conduct your t-tests you will need to use the "F-Test Two-Sample for Variances" tool. According to the results from this tool, how many of your contrasts will use the t-test that assumes equal variances?
What was the t Stat for your Low-Medium contrast?
What was the t Stat for your Medium-High contrast?
What is the t Stat for your Low-High contrast?
To lower our chance of making a type I error we should use Bonferroni's correction to adjust our alpha level. Instead of rejecting the null hypothesis if p < .05, what will be our new requirement?
|
p < .03 |
||
|
p < .025 |
||
|
p < .01 |
||
|
p < .017 |
In: Statistics and Probability
In what ways do advertisers in magazines use sexual imagery to appeal to youth? One study classified each of 1509 full-page or larger ads as "not sexual" or "sexual," according to the amount and style of the dress of the male or female model in the ad. The ads were also classified according to the target readership of the magazine. Here is the two-way table of counts.
| Magazine readership | ||||
| Model dress | Women | Men | General interest | Total |
| Not sexual | 347 | 519 | 258 | 1124 |
| Sexual | 204 | 98 | 83 | 385 |
| Total | 551 | 617 | 341 | 1509 |
(a) Summarize the data numerically and graphically. (Compute the conditional distribution of model dress for each audience. Round your answers to three decimal places.)
| Women | Men | General | ||
| Not sexual | 0.630 | 0.841 | 0.757 | |
| Sexual | 0.370 | 0.159 | 0.243 | |
(b) Perform the significance test that compares the model dress for
the three categories of magazine readership. Summarize the results
of your test and give your conclusion. (Use α = 0.01.
Round your value for χ2 to two decimal places,
and round your P-value to four decimal places.)
χ2=_____
P-value=______
Conclusion
i) Reject the null hypothesis. There is significant evidence of an association between target audience and model dress.
ii) Fail to reject the null hypothesis. There is significant evidence of an association between target audience and model dress.
iii) Reject the null hypothesis. There is not significant evidence of an association between target audience and model dress.
iv) Fail to reject the null hypothesis. There is not significant evidence of an association between target audience and model dress.
(c) All of the ads were taken from the March, July, and November issues of six magazines in one year. Discuss this fact from the viewpoint of the validity of the significance test and the interpretation of the results.
i) This is not an SRS. This gives us reason to believe our conclusions might be suspect.
ii)This is an SRS. This gives us no reason to believe our conclusions are suspect.
iii) This is an SRS. This gives us reason to believe our conclusions might be suspect.
iv) This is not an SRS. This gives us no reason to believe our conclusions are suspect.
In: Statistics and Probability