Math 300 Week 3
Bottle Company Case Study
Daniel James Jr.
Math 300 – Statistics
Professor Issam MerhiStrayer University
August 17, 2014
Mean, Median and Standard Deviation
Explaining the make up a data description one must calculate the mean, median and standard deviation. To determine the mean, also known as the arithmetic average, is found by adding the value of the data and diving by the total numbers of values. In this case of a Bottle company study with thirty different bottles. The mean is 15.2, which was able to be reach by calculating the value of 30 bottles that equal 457 ounces divide by 30 (457/30=15.2). The median is the halfway point in a data set. Before you can find this point, the data must be arranged in order. When the data set is ordered, it is called a data array. The median either will be a specific value in value in the data set or will fall between two values. In this case the value falls in the middle to 15.6. The Standard Deviation is the square root of the variance. The preceding computational procedure reveals several …show more content…
In this bottle case study the null hypothesis is there are sixteen ounces in each bottle. The alternate hypothesis is there are not sixteen ounces in each bottle. In order to understand the outcome of the test of hypothesis we must analyze the data set and our projections in the previous to answer them. Analyzing the data from above, we have a mean of 15.2 and a standard deviation of 0.73. Adding one standard deviation to the mean, we still do not get to sixteen ounces, which compute to be 15.93 ounces. Clearly from the calculation that the null hypothesis is incorrect and has been disproven, meaning that the alternate hypothesis is in fact the correct
Daniel James Jr.
Math 300 – Statistics
Professor Issam MerhiStrayer University
August 17, 2014
Mean, Median and Standard Deviation
Explaining the make up a data description one must calculate the mean, median and standard deviation. To determine the mean, also known as the arithmetic average, is found by adding the value of the data and diving by the total numbers of values. In this case of a Bottle company study with thirty different bottles. The mean is 15.2, which was able to be reach by calculating the value of 30 bottles that equal 457 ounces divide by 30 (457/30=15.2). The median is the halfway point in a data set. Before you can find this point, the data must be arranged in order. When the data set is ordered, it is called a data array. The median either will be a specific value in value in the data set or will fall between two values. In this case the value falls in the middle to 15.6. The Standard Deviation is the square root of the variance. The preceding computational procedure reveals several …show more content…
In this bottle case study the null hypothesis is there are sixteen ounces in each bottle. The alternate hypothesis is there are not sixteen ounces in each bottle. In order to understand the outcome of the test of hypothesis we must analyze the data set and our projections in the previous to answer them. Analyzing the data from above, we have a mean of 15.2 and a standard deviation of 0.73. Adding one standard deviation to the mean, we still do not get to sixteen ounces, which compute to be 15.93 ounces. Clearly from the calculation that the null hypothesis is incorrect and has been disproven, meaning that the alternate hypothesis is in fact the correct