Descriptive Analysis Of Descriptive And Descriptive Analysis

Standard deviation is a way of visualizing how spread out points of data are in a set. Using standard deviation helps to determine how rare or common an occurrence is. For example, data points falling within the boundaries of one standard deviation typically account for about 68% of data and those between (+/-)1 standard deviation and (+/-)2 standard deviations make about 27% combined. This can be better visualized by using a bell graph. Using the mean and standard deviation, the points where standard deviations occur can be drawn on the graph to better understand which data is rare and which is common.

Theoretically from the recorded data the calculated mean, median, and mode will be the most accurate representation of the real world value. The difference between the highest recorded value and lowest recorded value is the range in the set of data. Standard deviation (s) is a quantity calculated to indicate an extend of deviation for a group of data as a whole (Marshall). This is calculated using:

Research results tell us information about data that has been collected. Within the data results, the author states the results are statistically significant, meaning that there is a relationship within either a positive and negative correlation. The M (Mean) of the data tells the average value of the results. The (SD) Standard Deviation is the variability of a set of data around the mean value in a distribution (Rosnow & Rosenthal, 2013).

Standard Deviation for the mean column is 0.476Standard Deviation for the median column is 0.754Standard deviation for the mean column has least variability

AJ DAVIS is a department store chain, which has many credit customers and wants to find out more information about these customers. A sample of 50 credit customers is selected with data collected on the following five variables:

Based on the given sample of student test scores of 50, 60, 74, 83, 83, 90, 90, 92, and 95 after rearranging them from least to greatest. As the mean is based on the average of sum, the average of this sample is 79.67 or 80. The mode refers to numbers that appear the most in a sequence and in this case 83 and 90 both appear twice. Range calculates the difference between the largest and smallest number, which are 95 and 50 which have a difference of 45. The variance is the difference between the sum of squares divided by the sample size, which is the number in the sample minus one (Hansen & Myers, 2012), meaning it takes each number of the set and subtracts

Then we graphed a scatterplot, graphed clusters of dots, which represented the values of the two variables, on the ratings people gave for eating at home verse ones eating out. We got the mean, the arithmetic average of a distribution, median, the middle score in a distribution, mode, the value in the set that occurs most often, range, the difference between the highest and lowest scores in a distribution, and standard deviation, a computed measure of how much scores vary around the mean score, for the data we collected. For communication at home we were given the scores, respectively: 9,4,4,2,2,7,2,5,4,9,2,8,6,7,4,3,9,9. For communication eating out we were given the respective scores: 7,3,6,2,2,6,1,5,6,8,3,7,6,3,7,6,5,4,5,6. So for communication at home, we got a median of 4.5, a standard deviation of 2.74, a range of 7, a mean of 5.4, and a mode of 9. For communication eating out, we got a mean of 4.9, a standard deviation of 1.97, a range of 7, a median of 5.5, and a mode of 4. Then when you reached a correlation, a measure of the extent to which two favorites vary together, and thus of how well either factors predicts the

The example below lists the results for numbers 6-10. The measures of central tendency include mean, median, and mode. In this example the measures of central tendency will be calculated based on row B, which indicates the number of months that a particular employee has been with the company. The data being analyzed is the

The summary includes variance, mean, median, mode and standard deviation. As shown in the histogram majority of people in the data pool have a height of 62-68 inches. This is a symmetrical distribution seeing how close the mean and median are to each other.

This report implements material covered from Chapters 4 – 6: Measures of Central Tendency; Measures of Dispersion; and Probability Distribution. The format in the report uses a question and answer narrative to clarify presentation. The report aims to answer the instructor’s questions for “Assignment 2” and information was extracted from two assigned research studies.

Therefore 1264 soldiers are in high risk trenches. The same thing can be one to determine how many are in low risk trenches.

Since the spread is not quite significant as 50% of the data were in a small range, thus the results were consistent therefore, it can be concluded that the mean gives an appropriate representation of the results.

The dependent variable was defined as how people rated themselves when presented with, “I am good at managing unpredictable situations.” The scale was numbered 1-5, 5 meaning strong agreement and 1 meaning strong disagreement. The overall mean of the dependent variable was a 3.46. This places the mean above the neutral point and indicates that the group was in a slight agreement with the statement. The mean of the group that had none to few restrictions was a 3.57. In relation to the scale of measurement, this group was somewhat in agreement with the statement. This was also the highest mean of the predictor variables. This group agreed most that they are with the statement. The Several restrictions group had a mean of 3.48. This

Data analysis involve reducing accumulated data to a manageable size, developing summaries, looking for patterns and applying statistical techniques while data preparation includes editing, coding, and data entry and its activity that ensures the accuracy of the data and their conversion from raw form to reduced and classified form that are more appropriate for analysis (Cooper & Schindler, 2016). The study will employ both descriptive and inferential statistical techniques to allow presentation of data in a more

The data analysis focused mainly on the number of hours each participant in the study spent a week on Pinterest. From that data we were able to calculate the mean, median, mode, range, and standard deviation for both males and females, as shown in Table 1 in Appendix B below. The mean shows the average amount of hours for each gender that was spent on