CONSUMER CHARACTERISTICS OF ACI IODIZED SALT 1.1. Origin of the report: The main reason for preparing this report is to fulfill the requirement of our business communication course in first semester. Another important reason is to determine the consumer characteristic of ACI iodized salt. Salt is the most important element of cooking. Due to actions taken by the different health care organizations‚ people are being more and more aware of the importance of using iodized salt. People are looking
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Now we have to construct a 95% confidence interval for the average amount of 16 ounce bottles produced by the company. C= 95%‚ and a = 0.05‚ n= 30 for sample size. Using the calculator when came of the values +1.96 and -1.96. To come up with me margin of error‚ we multiply 1.96 by the standard deviation and divide by the square root of the sample size (30)‚ which is 5.4772. The margin of error is then added and subtracted from the mean to give two numbers‚ the upper and lower. The values of upper and
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Part 1: Diagnostic Report 1.0 Company Introduction MAS Active Linea AITC is the primary manufacturing and design function provider who supports the key client of MAS – Nike AITC. The function of the MAS Active operations is to facilitate as a laboratory that allows the students whom are at Nike AITC to have the opportunity to experiment and trial the innovations and understand the required process improvements. This is MAS’s 27th manufacturing facility in Sri Lanka‚ and their fourth to be based
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investment? See table below. Low cost methods chosen as the company cannot afford extremely expensive market research. Is the targeted sample relevant to understanding the problems at hand? How accurate will be the feedback based on each method? Method Target Sample Cost Notes Individual customer interviews Customers at stores Free Small sample size – inaccurate representation of overall problem Focus Groups Customers from declining Coop stores 5000 / group More than 1 group
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determine the entertainment habits of overseas students before and after coming to Australia. Methodology On Thursday 27th September 2012‚ a survey was conducted among a random sample of fifty overseas students were studying at Macquaire University. The survey instrument was a questionnaire about entertainment habits. The questionnaire was divided into two sections. The first section from question 1 to question
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Biology IA: Quantitative Estimation of Sugars to Soft Drinks Trials Data Collection and Processing: Percentage Transmissions of Light through a Glucose Solution after a Benedicts Treatment | Trial 1 | Trial 2 | Trial 3 | Trial 4 | Trial 5 | Trial 6 | Trial 7 | | Glucose Concentration | Transmission (%)± 0.1 | Transmission (%)± 0.1 | Transmission (%)±0.1 | Transmission (%)± 0.1 | Transmission(%)±0.1 | Transmission (%)±0.1 | Mean (anomalous data not included) ±0.1 | Standard Deviation
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Figure and 3 Tables Last Date and Time of Revision: 06 November 2012 Introduction This report will analyse and discuss 45 given sizes of a dimension on a knob. A histogram and a table will be used to discuss the probability of the production of knobs within the accepted value. This report will also state and present the sample variance‚ sample mean‚ sample standard deviation‚ standard error‚ and the population mean confidence interval as well. These properties were also reported from Microsoft
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The Consumer Behavior of the Filipino Middle Class Youth As Taken From De La Salle University Students “A Market Study on Brand and Product Preferences of the Youth” In partial fulfilment of the requirements in Economic Statistics 4/16/2009 Submitted to: Dr. Cesar Rufino Samuel John Daniel B. Paculan I. BACKGROUND AND IMPORTANCE OF THE STUDY This study was done to determine the preferences of the youth toward local and imported brands‚ so as to find out the marketability of local brands
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I have asked my employees to pull Thirty (30) bottles off the line at random from all the shifts at the bottling plant. The first step in solving this problem is to calculate the mean (x bar)‚ the median (mu)‚ and the standard deviation (s) of the sample. All of those calculations were easily computed in excel. The mean was computed by entering: =average‚ the
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Results It was hypothesized that subjects would experience higher frequency in correctly remembered words when in a bright room; it was also hypothesized that words with longer exposure time would have an increased frequency of correct recall. The later hypothesis was supported‚ but the former was not. Subjects in the bright room (n=15) remember an average of 7.8 words; while the subjects in the dimly lit room (n=15) remembered and average of 8.467 words. Average short words remembered across both
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