Need a marketing plan outline- daycare owner and operating business Essay

Need a marketing plan outline- daycare owner and operating business - Essay Example o one of their major undoing is the fact that it targets even the low earning or poor consumers by producing as low as one hundred and fifty liters which cost very little. The products have been moving at a faster rate and consumers really like it. The Softer Company has a very wide target market as it satisfies the needs for various consumers that range from those that are healthy diet conscious or concerned through Died Softer to the average individual via its best selling drink called Peck. Most products of the Softer Company satisfy all the age groups since it is proven that several individuals of different age groups actually consume the Softer product. Softer has a long standing commitment to the protection of the consumers whose confidence and trust in its products is the basis and backbone of its success. For the purposes of ensuring that consumers are updated on the global quality of all the products of Softer that are sold, the products have a seal of quality assurance. Softer consumers are purchasing a wide range or variety of soft drinks. They buy one product line or another due to the high quality and standards of products produced by the company. The company also provides complaint phone service and help line for clients who are not contended with the product or even would like to give feedback or comment on the products. This is the process of the creation of the image that is held by the product in the customers’ mind, relative to the competing products. Both Softer and Afia make soft drinks; however, even though Afia might attempt to compete, we find that they will still be considered as lower market from Softer. Positioning assists clients in understanding what is unique or exceptional about the products in comparison with the competition (Kerin & Peterson, 2007). The company uses the Individual brand strategy in marketing since its major products have their own brand names. The products operate under the same brand name of Softer, although

Intermediate Econometrics Coursework Example | Topics and Well Written Essays - 2000 words

Intermediate Econometrics - Coursework Example Let and denote their unadjusted counterparts. Then; The answer is FALSE; in loglinear regression analysis is used to describe the pattern of data in a contingency table. A model is constructed to predict the natural log of the frequency of each cell in the contingency table. For a 2x2 table, that means the model is . So we can always say, as a simple function, that the coefficient represents an increase in the log of predicted counts. If , for instance, we could say that this model shows that factor increases the predicted log count by 2 (all other factors held constant). The answer is TRUE; all the three tests (Wald test, Lagrange Multiplier, Likelihood ratio test) address the same basic question, which is, does constraining parameters to zero (i.e. leaving out the predictor variables) reduce the fit of the model? The null hypothesis for all three tests is that the smaller model is the "true" model, a large test statistics indicate that the null hypothesis is false. The only difference between the tests is how they go about answering that question. The graph below explains more on the relationship; The graph below illustrates what each of the three tests does. Along the (labelled ) are possible values of the parameter . Along the are the values of the log likelihood corresponding to those values of  a. The test compares the log likelihoods of a model with values of the parameter constrained to some value to a model where  Ã‚  is freely estimated. It does this by comparing the height of the likelihoods for the two models to see if the difference is statistically significant (having in mind, higher values of the likelihood indicate better fit). In the figure above, this corresponds to the vertical distance between the two dotted lines. In contrast, the Wald test compares the parameter estimate  Ã‚  to  ; where  Ã‚  is the value of  Ã‚  under the null hypothesis, which generally states that  . If  Ã‚  is significantly different