Q3

EXTERNAL FACTORS THAT AFFECT CHINA AIRLINES INDUSTRY Gong Liting (Jacqtin) With the development of the society, the level of people living standard has improved a lot. Airplane becomes a popular transportation in recent years. No matter travel or business, more and more people chose airplane to travel which is due to its time-saving and security. Therefore, more and more airline companies have come out. Under the fierce competition with the domestic and international airlines market, China Airlines

err. Median Range Min Max Q1 Q3 AirTime Delta 3211 113.31953 5356.9608 73.191262 1.2916328 93 530 24 554 65 129 The summary statistics for Delta Airlines is as follows: the mean is 113 minutes, the standard deviation is 73 minutes, the standard error is 1 minute, the median is 93 minutes, the Q1 is 65 minutes, the Q3 is 129 minutes, and the interquartile range is 64 minutes. Summary statistics: Column n Mean Variance Std. dev. Std. err. Median Range Min Max Q1 Q3 AirTime SW 2220 90.118468 3212

Interpretation: The boxplot displays the behavior score distributions by grade. The behavior scores differ significantly by grade level. The lower high school has a higher average median score than both the middle school and upper high school. The lower high school has the smallest variance in scores while the upper high school has the largest variance in scores. There were a disproportionate number of middle school observations when compared to the high school data. Note: See Appendix: A for “R”

Maxis Gross Profit The graph indicates the gross profit of Maxis was unstable and fluctuated wildly from 2011 to 2014. Gross profit dropped minimally by 1.26% from 2011 to 2012. The reasons why gross profit dropped in 2012 were the stiff price competition and the emergence of over-the-top (OTT) players. OTT players provided alternative communication access (Maxis Berhad, 2012, p.17). From 2012 to 2013, it increased slightly which was from RM5.96bil to RM5.99bil. It may due to the launching

US Corporate Profits: What Are Equity Prices Discounting? The onset of the Q3 US corporate profits season provides a useful backdrop to analyse what financial markets are currently discounting in terms of profits growth. Furthermore, the current discussion about the prospective path of Fed policy raises the importance of accurately assessing whether earnings expectations are too optimistic. Historically, the S&P500 has tended to display sensitivity to changes in 12-month forward earnings expectations

tell people if you are listening, bored, upset, interested, nervous, happy or annoyed. It is important to be aware of the body language and facial expressions presented to your co-workers. Q3) Think of a time when non-verbal elements changed the outcome of a communication. What were the circumstances? A: I was at a friend’s house and I asked her a question. She shrugged her shoulders and raised her eyebrow

Rural 14 34.71 2.25 8.41 22.00 29.25 32.00 Suburban 15 50.80 3.97 15.36 22.00 39.00 54.00 Urban 21 44.33 3.17 14.53 21.00 31.50 42.00 Variable LOCATION Q3 Maximum Range INCOME($1000) Rural 42.50 50.00 28.00 Suburban 63.00 67.00 45.00 Urban 55.00 67.00 46.0 Above box plot shows

Introduction Company G has long been a leader in quality household electronics. Now we have taken a step back to look at what else we can offer. With the Thermo-Go Thermostat we are looking to help consumers be more environmentally friendly. The Thermo-Go allows consumers to log into their heating and cooling system remotely using their home WiFi connection. They can turn their system on or off, set it to heat or cool their home. The consumer can also utilize the ECO function by linking their

for a) the release of accruals, b) the line costs that were capitalized, c) other line cost adjustments not discussed in the case, and d) ‘improper’ and ‘questionable’ adjustments to revenue. What do you observe? Q1 99 Q2 99 Q3 99 Q4 99 Q1 00 Q2 00 Q3 00 Q4 00 Q1 01 Q2 01 Q3 01 Q4 01 Line Cost Rev 4116 9001 3927 8944 3887 9186 4011 9989 4092 9978 4152 10193 3867 10047 3351 8872 4108 9720 3730 8910 3745 8966 3156 7583 2.1868 3188 2.2775 66

Case Study: Southwestern University: F The recent success of Southwestern University’s football program is causing SWU’s president, Joel Wisner, more problems than he faced during the team’s losing era in the early 1990s. For one thing, increasing game-day attendance is squeezing the town of Stephenville, Texas and the campus. Complaints are arising over parking, seating, concession prices, and even a shortage of programs at some games. Dr. Wisner, once again, turns to his stadium manager, Hank