Contents INTRODUCTION...........................................................................................................................................3 MAIN BODY.................................................................................................................................................3 1. Arranging data into table format:.........................................................................................................3 2. Present above data using charts:..........................................................................................................4 3. Computation and highlight final value.................................................................................................5 4. Use of linear forecasting model i.e. y = mx + c to compute and make discussion on followings:.......7 CONCLUSION...............................................................................................................................................9 REFERENCES..............................................................................................................................................10
INTRODUCTION Numeracy is understanding, skills, attitudes and criteria that are needed in a broad range of possible conditions and situations in arithmetic. Whereas the concept personal information- analysis is characterized as structured analysis, configuration, adjustment that provide accurate and meaningful information(Falloon, 2016). Data collection is the process of data collection, processing, recycling and modeling with the purpose of finding the necessary info. It expresses the findings thus achieved, recommends observations and guides decision-making. In this report consist of ten consecutive calls that taken by a person in 10 days. For this prepare bar chart and line chart and calculation of mean, mode, median, range and standard deviation. Moreover, calculate value of M, C and forecasting of number of cells. MAIN BODY 1. Arranging data into table format: The table below includes telephone number details for 10 consecutive days, as described: DayNumber of phone calls (per day) 1stday18 2ndday22 3rdday26 4thday30 5thday25 6thday35 7thday15 8thday30
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9thday15 10thday30 2. Present above data using charts: Bar chart: A bar chart or bar graph data acquired at levels or distances with rectangular blocks corresponding to the quantities that they reflect. The bars may be horizontal or vertical but they are normally vertical. The uniqueness of bar charts is that economic or business statistics – such as effect on share prices, company earnings or sales numbers – can be results are achieved at the graph with a single look. It makes an excellent platform for additional fundamental indicators(Grotlüschen and et.al, 2019). 1822 26 30 2535 15 30 1530 Number of phone calls (per day) 1st day 2nd day 3rd day 4th day 5th day 6th day 7th day 8th day 9th day 10th day Line chart: A line graph is a type of graph that used access data continually changing. We plot line utilizing sharp corners connecting multiple points. Often, it's called a line map. The line graph consists of two axes, defined as either axis 'x' and the axis 'y.' There are two axes in a paragraph-graph. The x-axis of a line graph displays the events and the groups being measured over time, and the y-axis represents the scale, that is a sequence of numbers based upon the data and then being divided into regular spacing(Mata and et.al, 2015).
1st day2nd day3rd day4th day5th day6th day7th day8th day9th day10th day 0 5 10 15 20 25 30 35 40 18 22 26 30 25 35 15 30 15 30 Number of phone calls (per day) Number of phone calls (per day) 3. Computation and highlight final value Mean: Data suggests quantification of the core-tendency of data points is mean of predictions factor. This is the sum total of all data principles / statistics separated by data number. For selecteddata sample of thesize 10, itsmean iscalculatedas follows: DayNumber of phone calls (per day) 1stday18 2ndday22 3rdday26 4thday30 5thday25 6thday35 7thday15 8thday30
9thday15 10thday30 ∑x = Sum of all the phone calls246 Mean = ∑x / n = 246 / 10 =24.6 Mode: The mode is the number which most usually occurs in a collection of data. A collection of figures may either have one mode, upwards of one mode, or no mode. Other common regression coefficients metrics provide a format's mean, or mean, and a format's median, mean number. This method reflects on the biggest value in data range which is 30. Median: The median is a mere regression coefficient metric. They organize the measurements to find the median in sequence from the lowest to the highest benefit. Whether there is an arbitrary integer of results, the mid value is the norm. If there are even numbers of findings, the median of the two mid value systems is the median(Mavilidi and et.al, 2018). As here, selected data is of even number i.e. 10 days. Thus Median would be = [(10/2) + (10/2 +1) value] / 2 = (5thvalue + 6thvalue )/2 = (25 + 35)/2 = 30 Range: A database's spread is the distance between the greatest and minimum values in that set of data. Range also has a simple and accurate-to-understand objective: to notify us rapidly and effortlessly about how large the results are. Minimum Range = Smallest Value i.e. 15 Maximum Range = Highest Value i.e. 35 Standard deviation: The standard deviation is being used to describe discrete performance in line with both the average, and not reference variables. Moreover, the standard deviation, such as the mean, is typically only acceptable whenever the maintained constant is not substantially
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distorted or has outliers. The standard deviation is a calculation of the points distributed across a sample group. Typically we’re investing in a sample standard deviation(Weil and et.al, 2015). Day Number of phone calls (per day)X- mean(x-mean)2 1stday18-6.643.56 2ndday22-2.66.76 3rdday261.41.96 4thday305.429.16 5thday250.40.16 6thday3510.4108.16 7thday15-9.692.16 8thday305.429.16 9thday15-9.692.16 10th day305.429.16 Mean =24.6 Variance = ∑(x-mean)2/ n = 432.4 / 10 =43.24 Standard Deviation = √∑(x-mean)2/n = √432.4 =20.79 4. Use of linear forecasting model i.e. y = mx + c to compute and make discussion on followings: Calculation of M Day Number of phone calls (per day)X2XY 1stday18118 2ndday22488 3rdday269234 4thday3016480 5thday2525625 6thday35361260
7thday1549735 8thday30641920 9thday15811215 10thday301003000 X = 55246 X2 = 3859575 m = N∑xy- ∑x∑y / N∑ X2 - (∑x)2 = 10*9575 – 55*246 / 10*385 – (55)2 = 95750 – 13530/ 3850 – 3025 = 82220 / 825 = 99.66 Calculation of C c = [(∑y / n)-m (∑x/n)] = [(246 /10) - (99.66) (55/10)] = 24.6 + 548.13 = 572.73 Forecasting of number of calls At 12thday: y= m x+ c = 99.66 *12 + 24.6 = 1195.92 + 24.6
= 1220.52 or around 1221 calls on 12thday At 14thday: y= m x+ c = 99.66 *14 + 24.6 = 1395.24 + 24.6 = 1419.84 or around 1420 calls on 14thday. CONCLUSION As per the above report it has been concluded that data analysis is important for business to collect all the information and set a particular picture. To collect the entire amount requires applying the different methods of the mean, mode, median and standard deviation. Along with, make right decision to select the right assumptions.
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REFERENCES Books and Journals Falloon, G., 2016. An analysis of young students' thinking when completing basic coding tasks using Scratch Jnr. On the iPad.Journal of Computer Assisted Learning.32(6). pp.576- 593. Grotlüschen, A. and et.al, 2019. Vulnerable subgroups and numeracy practices: How poverty, debt,andunemploymentrelatetoeverydaynumeracypractices.AdultEducation Quarterly.69(4). pp.251-270. Mata,A.andet.al,2015.Strategicnumeracy:Self-servingreasoningabouthealth statistics.Basic and Applied Social Psychology.37(3). pp.165-173. Mavilidi, M. F. and et.al, 2018. Immediate and delayed effects of integrating physical activity into preschool children’s learning of numeracy skills.Journal of experimental child psychology.166. pp.502-519. Weil, A. M. and et.al, 2015. Proficiency of FPPI and objective numeracy in assessing breast cancer risk estimation.Learning and Individual Differences.43. pp.149-155.