Marketing Plan for Nintendo Wii Research Paper Example | Topics and Well Written Essays - 2750 words

Marketing Plan for Nintendo Wii - Research Paper Example Nintendo was introduced to the video game industry in 1985 only to become a great hit within the people of all age groups. It rejuvenated the gaming industry single-handedly. From the inception, the company was always on the run to improve its product technology while maintaining low price levels on the other. This strategy was well accepted by the general public that it catered to economical entertainment. Thus its sales have surged into millions within a short span of time. Recently it introduced Wii which has several advanced features with a built in wi-fi capability. The company is now on the plan for implementing a strategic marketing plan which would be most beneficial for its running in the future. (Anon., 2010). Background analysis Organizational background: Nintendo was originally a Japanese playing card company which introduced its entertainment system in U.S. Today, it has its presence in over 20 countries covering Asia Pacific, Europe and America. Its customers range from 5-120 years of age. Most of them however are youngsters. (Armstrong. M., 2006). The crucial part of Nintendo’s success was its perfect planning and timing. It released its gaming videos in 1985, when the whole video gaming industry crashed totally. (Cooper.R.G., 2001), (Anon., 2005). This is similar to the research undertaken to identify aggressive competitor’s attacks on market leaders. According to the research, a competitor is said to be above-normal aggressive if he moves into new markets geographically, compete with leader’s brands, enter for the first time into the market and increase advertising expenditures.

Proportion Paper Essay Example | Topics and Well Written Essays - 750 words

Proportion Paper - Essay Example for a proportion, sample size required for a proportion, confidence interval for the difference of two proportion, comparison of a proportion with hypothesized proportion, and comparison of two proportions will be discussed. Central Limit Theorem (CLT) for a Proportion state that â€Å"As sample size increases, the distribution of the sample proportion p = x/n approaches a normal distribution with mean Ï€ and standard deviation.† The statistic p = x/n is assumed normally distributed when the sample is large. A conservative rule of thumb that normality may be assumed whenever nÏ€ ≠¥ 10 and n(1 − Ï€) ≠¥ 10. This rule requires a very large sample size to assume normality when Ï€ differs greatly from 0.50 (Doane & Seward 2007). Using the Central Limit Theorem, the probability that a sample proportion will fall within a given interval can be stated. The confidence interval for a population proportion, Ï€ at a given confidence level (1 – ÃŽ ±) is given by The value of z can be obtained using normal table (Z table) or using Excel function NORMINV(ÃŽ ±/2). The width of the confidence interval for a population proportion, Ï€ depends on the sample size, confidence level (1 – ÃŽ ±), and the sample proportion p. The estimate of difference and standard deviation of two-population proportion can be given by and , respectively. Using this estimate, a confidence interval for the difference of two population proportions, (Ï€1− Ï€2), is given by For normal sampling distribution, the test statistic for the hypothesis test will be z score. This test statistic is compared with critical value of z score at the selected level of significance, ÃŽ ± for retaining or rejecting null hypothesis (H0). The test statistic for a population proportion with hypothesized proportion Ï€0 is the difference between the sample proportion p and the hypothesized proportion Ï€0 divided by the estimated standard error of the proportion (denoted ÏÆ'p) as given below The assumptions of comparison