Numeracy, Data and IT

Task 1

Week 5

i.

Anna=SUM(F6:I6)

Amal=SUM(F7:I7)

Charles=SUM(F8:I8)

Ricky =SUM(F9:I9)

Angela=SUM(F10:I0)

Rayan=SUM(F11:I11)

Nancy=SUM(F12:I3)

ii.

Anna=AVERAGE(F6:I6)

Amal=AVERAGE(F7:I7)

Charles=AVERAGE(F8:I8)

Ricky =AVERAGE(F9:I9)

Angela=AVERAGE(F10:I0)

Rayan=AVERAGE(F11:I11)

Nancy=AVERAGE(F12:I3)

Question 3

The mean value is being termed as the average of certain data set. It is considered as the most common statics used to measure centre value of numerical data. The mean value is being extracted by summing all the values divided by the number of value within the certain data set. In the context of contemporary operations of data analytics, the mean value has been found very effective to determine the average value that can be termed as an important characteristic of certain information (Ghahramani, Tahayori & Visconti, 2021). In the context of strategic planning process within AllTech group, the mode value is used to determine the value that occurs the most frequently in certain data set. It has been emerged as the only measure of central tendency that can be used to manage categorical data. In assessment of a variety of financial data, the model value is used to evaluate the repeated values in the dataset. It can be termed as an important measure of descriptive statistics. The mode value is located near to middle of data set.

In dealing a variety of data set, the median value presents the middle value that plays a critical role in determining the idea about the location of the central value. It has found very effective to calculate median as compared to mean when the distribution of data set is more skewed. In similar way, the management of AllTech group can also consider the Range as an important measure of descriptive statistics that assists people in measuring the variability when the distribution of data is carried out without any extreme values (Ali, Bhaskar, & Sudheesh, 2019). It provide a great support in evaluating the span of distribution so as the management could find more reliable data within the certain data set.

Reference

Ali, Z., Bhaskar, S. B., & Sudheesh, K. (2019). Descriptive statistics: Measures of central tendency, dispersion, correlation and regression. Airway, 2(3), 120.

Ghahramani, F., Tahayori, H., & Visconti, A. (2021). Effects of central tendency measures on term weighting in textual information retrieval. Soft Computing, 25(11), 7341-7378.

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