Conduct an investigation considering the following concepts: Contrast the tabular and graphical methods used for qualitative and quantitative data. Arithmetic average Geometric mean Weighted average...

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Conduct an investigation considering the following concepts: Contrast the tabular and graphical methods used for qualitative and quantitative data. Arithmetic average Geometric mean Weighted average Median Measures of central tendency fashion Measures of Central Tendency for Ungrouped Data Measures of Central Tendency for Pooled Data Explain the properties of the three measures of central tendency, mode, median, and mean. Explain how the geometric mean differs from the arithmetic mean and the weighted mean from the arithmetic mean. Justify the importance of characterizing a series of data through the measures of central tendency A psychologist applies a general knowledge exam to enter the baccalaureate, which consists of 270 questions to 70 candidates to enter that level with a concentration in criminal justice. With the results of the tests presented later, considering that they represent the number of questions answered correctly for each candidate, calculate the measures of central tendency for non-grouped data (mean, mode, and median) and for the data grouped first. developing a frequency distribution table with 6 intervals and plotting the histogram, the frequency polygon and the warhead, calculate for these grouped data: the mean, the mode and the median. 65 99 125 163 174 186 208 65 100 128 164 175 188 209 72 105 137 164 175 190 210 73 109 140 167 175 192 211 75 111 147 168 179 192 217 85 111 147 168 179 193 228 85 115 151 169 182 197 231 85 120 158 169 183 200 237 93 121 160 170 185 203 246 99 124 160 172 185 205 255
Answered 4 days AfterMay 24, 2021

Answer To: Conduct an investigation considering the following concepts: Contrast the tabular and graphical...

Suraj answered on May 29 2021
144 Votes
Measure of Central Tendency
Contrast the tabular and graphical methods used for quantitative data and qualitative data:
The exact meaning of quantitative data is which can be measured in numbers for example weight of a per
son, marks of students etc.
The meaning of qualitative data is which can never be measured or we can say that which can be divided into categories like male, female or intelligence etc.
To do analysis of the qualitative data, it is desired to convert it into a tabular form or we can say in contingency table. After that, we can do analysis on the qualitative data. Also, graphical techniques for qualitative data will not give exact overview about the data.
To do analysis on the quantitative data graphical method is good technique. We can clearly see that pattern in the data set if present. Also, by using graphical methods it will be easy to do analysis on the quantitative data.
Arithmetic mean: It is defined as the ratio of the total sum of the observations to the total number of terms. It can be defined as follows:
Mean
Let us suppose we have marks of 9 students in a subject.
45, 56, 52, 85, 63, 23, 96, 78, 48
Then the average marks is calculated as follows:
Geometric mean: It is defined as the nth root of the product of the n observations. It is important because it gives more weight to small observations.
Let us assume the same data,
Geometric mean

Weighted mean: In the calculation of arithmetic mean, we assume that all items have equal importance. But it is not true in every case. Sometimes some items in the data need more importance than others. In that way calculated mean is called weighted mean.
Let us suppose that the marks of a student different subjects are given with their respective weightage. He got 70 marks in maths with 4 weightage, 85 marks in science with 3 weightage and 75 in statistics with 3 weightage. The average marks are calculated as follows:
Weighted mean

Median: It is defined as the middle value in a data set. It is calculated by taking middle value in the data set if the number of observations are odd and if they are even then calculated by taking mean of two middle values.
Let us...
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