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Introduction
The business taken into account for the analysis is Google, Inc. The primary data being collected is on Google and on different mobile applications to evaluate the validity of whether the latter are becoming more significant and popular compared to Google. In this case, the independent variable is percentage of internet usage on Google for every period. Basically, the metric taken into consideration is the percentage of time spent on Google in a day against the percentage used on various other Mobile Applications. This is purposed to facilitate the establishment of trends between Google and Mobile Applications and attain a vivid picture of their individual popularities.
Descriptive Statistics
Descriptive statistics takes into account the processes employed to provide a summarization and delineation of the significant characteristics of a set of measurements. Descriptive statistics provides basic sum-ups regarding the sample and the measures and in tandem with basic graphical examinations, it constitutes the foundation of almost every quantitative analysis of data (Mendenhall et al., 2012). There are different types of descriptive statistics that might be ideal for summarizing the data, if a sample of the Google data were to be collected. First, there is there is the distribution, which is a summary of the regularity or rate of recurrence of individual values or ranges of values for a variable. The most basic and simplest distribution would describe every value of a variable and the number of individuals who had every value. For instance, in the case of Google, a typical way to describe the distribution of popularity is by age of individuals, listing the frequency of use of Google or mobile applications. In the same manner, the data could be described by gender through the listing of the number or proportion of males and females. This data can be described using...
In delineation, the central tendency of a distribution is an approximation of the center of a distribution of values. These estimates include mean, median, and mode. The mean provides the average value of the data and is obtained through the summation of all the values and dividing them by the number of values. In this case, the mean will provide information regarding the average number of internet users that use Google or use mobile applications in between the period of observation and analysis. Secondly, the median is the value obtained at the precise middle of the set of values. Third, the mode is the most regularly occurring value in the set of values. The mode shows frequency. Therefore, in this case, it will be possible to determine important characteristics such as the recurring age of the users that prefer either Google or mobile applications or also determine the rate of usage of either the two (Trochim, 2006).
Inferential Statistics
Inferential statistics comprises of processes employed to make inferences regarding population characteristics from data and information contained in a sample obtained from a population. The key purpose of inferential statistics is to draw conclusions, make forecasts, as well as make decisions regarding the characteristics of a population from information that is contained within a sample (Mendenhall et al., 2012). Through inferential statistics, it becomes possible to reach conclusions that go beyond solely the instantaneous data. Therefore, on one hand, inferential statistics is employed to make inferences from the data collected to more overall circumstances whereas descriptive statistics is employed to basically delineate what is…
References
Brandimarte, P. (2012). Quantitative methods: An introduction for business management. Hoboken: John Wiley & Sons.
Mendenhall, W., Beaver, R. J., & Beaver, B. M. (2012). Introduction to probability and statistics. New York: Cengage Learning.
Trochim, W. M. (2006). Descriptive Statistics. Web Center For Social Research Methods.
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By knowing how to read visual presentations of data, the manager will be able to spot the central tendencies and distributions found in data in order to correctly asses whether a given decision is likely to reach the biggest part of the market or cut the highest percentage of inefficiency. Second, the manager must understand what central tendency and variability mean. Specifically, these are simply measures showing where the data
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