Begins with new-product purchases first by innovators and then by early adopters.

Part i a company's cereal is not selling well. create a 10-15-question survey that measures customers' preferences for the company's cereal product. then, answer the following questions: how many scale items will you put in the survey? justify your answer. will you use multiple-choice questions? why or why not? how many scale points will you use in the survey? justify your answer. what data type will be used in the survey? justify your answer. part ii as a second part of this assignment, create a set of survey questions, assuming that you sell cars. you are attempting to measure how customers perceive the quality of the cars that you sell. create three survey questions with simple category scales. justify why you selected those questions and scales. create three survey questions with multiple-choice, single-response scales. justify why you selected those questions and scales. create three survey questions with multiple-choice, multiple-response scales. justify why you selected those questions and scales. create three survey questions with likert scale summated ratings. justify why you selected those questions and scales.

The monthly sales for yazici​ batteries, inc., were as​ follows: month jan feb mar apr may jun jul aug sept oct nov dec sales 19 20 17 12 11 18 16 17 19 22 21 24 this exercise contains only parts b and c. ​b) the forecast for the next month​ (jan) using the naive method​ = nothing sales ​(round your response to a whole​ number). the forecast for the next period​ (jan) using a​ 3-month moving average approach​ = nothing sales ​(round your response to two decimal​ places). the forecast for the next period​ (jan) using a​ 6-month weighted average with weights of 0.10​, 0.10​, 0.10​, 0.20​, 0.20​, and 0.30​, where the heaviest weights are applied to the most recent month​ = nothing sales ​(round your response to one decimal​ place). using exponential smoothing with alpha ​= 0.40 and a september forecast of 21.00​, the forecast for the next period​ (jan) = nothing sales ​(round your response to two decimal​ places). using a method of trend​ projection, the forecast for the next month​ (jan) = nothing sales ​(round your response to two decimal​ places). ​c) the method that can be used for making a forecast for the month of march is ▾ a 3-month moving average a 6-month weighted moving average exponential smoothing the naive method a trend projection .

Computing equivalent units is especially important for: (a) goods that take a relatively short time to produce, such as plastic bottles. (b) goods with sustainability implications in their production processes. (c) goods that are started and completed during the same period. (d) goods that take a long time to produce, such as airplanes.