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The above parameters are calculated using Excel built in functions. The mean and median are very close to each other; it shows that the data do not have skews. Standard deviation of sampling data are small, which states that values are close to the mean.
In statistics, the population mean is measured through the sample mean. Statistics uses a concept called confidence interval in order to calculate a population mean. This assignment uses a 95% confidence interval to evaluate a range of the population mean. The confidence interval, in this case, is measured using method of unknown mean and unknown standard deviation of the population. The range is achieved using the central tendency values and the critical value of t, and SE. The critical value is calculated using Excel formula T.INV.2T(0.05,29); where 0.05 is the significance level of 95% confidence interval, 29 is the degree of freedom, df = n-1. The t critical = 2.045. The term SE is called standard error; it is calculated using formula STDV / sqrt (n). In this case, SE = 0.1. The upper limit of the interval = X mean + t*SE = 14.87+2.045*0.1=15.08. The lower limit of the interval is X mean +t.*SE = 14.87-2.045*0.1 = 14.66. Thus, the 95% confidence interval is (14.66, 15.08).
In this case, customer’s complaint is that the soda in the bottle is less than 16 ounces; however, the company claims that the soda in the bottle is 16 ounces. These two statements give the basis for the hypothesis test (“What is hypothesis testing”, n.d.). The alternate hypothesis is the population mean is less than 16 ounces; null is the population mean is equal or greater than 16 ounces. The significance level of the test is 5%.
Based on the alternative statement, it is advised to conduct a left tail test of mean; for this purpose test statistics is defined as t = (x mean - μ) / SE = (14.87-16.0) / 0.1 = - 11.25. Based on degree of freedom, df = 29 and significance level
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(“Bottling Company Case Study Example | Topics and Well Written Essays - 500 words”, n.d.)
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(Bottling Company Case Study Example | Topics and Well Written Essays - 500 Words)
“Bottling Company Case Study Example | Topics and Well Written Essays - 500 Words”, n.d. https://studentshare.org/statistics/1649066-bottling-company-case-study.
Moreover, the strategies in Southern Company ensure that there is desirable management of employee talent. However, there are numerous alternative ways to achieve effective results in this company. This is because the existing strategies pose numerous disadvantages.
Avon company case study indicates that the model for change theory used was the change journey (HUMAP) embracing the 360 degrees assessment model theory. The change Journey model is applied on complex situations and involves four phases. The first phase is known of p, which involves various activities.
In accordance with the above provisions Madona can inspect the register of members of Posh Cars Limited containing the names, addresses, and the details of shareholding of all the members of the company at the registered office of the company. In case any regulation has been enacted specifying the maintenance of the register of members by the Secretary of state then the register of members can be expected in such place.
At the beginning of the last year, the Articles of Association provided for payment of 15,000 to non-executive directors. However, through suitable amendments to the Articles, this figure was brought down to 10,000 nine months later. Since other directors have received 15,000 for the last year, Camilla is also demanding that the same amount be paid to her.
The most utilized form of business is corporation.1 Many successful and well-known business companies come in this form like Microsoft, Nokia, and Friendster. They are in fact corporations. One point being considered is that forming a corporation is moderate in terms of burden and cost since there are usually more people who share in the capital and who join hands in running the business.
in the bottles with sodas might be going on, there could have been an electric blackout in this process before the backup generator could resume the power supply; resulting in some of the bottles not being filled to the optimum amount of level stipulated.
Since the customer’s claim that an ounce is less than 16. The tail of this test is left sided. With a critical value of 0.05, the z-table shows a reading of -1.645 (99.95%). If the z- test statistic falls on the left side of -1.645, then the null hypothesis is rejected, and the alternative is accepted instead.