Bottling Company The mean, median and standard deviation are as follows: Bottle No. Oz mean median std dev The 95% confidence interval can be calculated as follows: CI = x +/- t* (s/?n) CI = 14.87 +/- 2.045 * (0.541 / ?30) CI = 14.87 +/- CI = 14.668 to 15.07 The null hypothesis is that the bottles are within the 95% confidence interval of 16oz as required by law. So the number of samples that fall within 15.8 to

Using this data set we can calculate mean, median, mode, and standard deviation for this data set over last 20 years: Mean can be found according to the following formula: So mean February temperature equals to 33.825 F Median of the data is the middle score after data has been set in order, so February temperature median equals to 33.7 F Mode of the data is the value from data set which occurs

GPA is interval level data one can report all measures of central tendency and dispersion (Creswell, 2012). In the original data case 38 had a GPA reported as 9.00. This value is of course impossible and since there were no missing values defined in the data set this case was treated as missing data. If used as reported it would have resulted in a much larger standard deviation and

This distribution can be applied to multiple business situations even where data is distributed differently, because a normal distribution adopts the central limit theorem which suggests that no matter how a population is distributed, the distribution "of the means of random samples approaches a normal distribution for a large sample size" (ICMBA, 2002). Business executives can use normal business distribution to create diversified asset portfolios, to calculate process variations within

Bottling Stats The mean, median and standard deviation of this data set are as follows: Mean Median STD Dev The formula for the confidence interval is anything under the curve besides the top 2.5% and the bottom 2.5%. So 1.96 * .5503 / (5.477) = 0.1969 is the margin of error. The confidence interval therefore is 14.87 ± 0.1969, meaning that the lower bound is 14.67 and the upper bound is 15.07. The question is asked wrong. If

Many patrons tip based on how quickly their food is delivered, and if it is hot or not, how it tastes, did it meet the patrons' expectations or not for this specific type of food, what is the frequency of the patrons' dining on this specific type of food. There are also an entire series of attitudinal questions regarding why this specific restaurant was chosen, and these could range from