final the results for the box plot. This is also used with the frequency distribution- Quantitative and shows the frequency at 78 and the percentage at 100.0. Also using the histogram to find the results at a percentage of 25% are satisfied with the request for the desired shift was fulfilled, the highest point at 2 on the histogram chart. Question four is how many sick days in the past month? The boxplot shows this at a different point than question threes mark as it is lower and using the descriptive
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Probability Question 1 The comparison between the bar chart and histogram are bar graphs are normally used to represent the frequency of discrete items. They can be things, like colours, or things with no particular order. But the main thing about it is the items are not grouped, and they are not continuous. Where else for the histogram is mainly used to represent the frequency of a continuous variable like height or weight and anything that has a decimal placing and would not be exact in other
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Histograms shows frequencies (counts) or percents of value that fall in various buckets, % of area under graph over range reps % of data values in that range Histogram: (1) divide data into intervals of equal width, (2) count how many values fall into each, (3) make bar chart where height is equal to count Spikes high concentration of data values in the range just below the spike Histograms shows frequencies (counts) or percents of value that fall in various buckets, % of area under
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Before we begin with the data summary, descriptive statistics is defined as mathematical methods (such as mean, median, standard deviation) that summarize and interpret some of the properties of a set of data (sample) but do not infer the properties of the population from which the sample was drawn. Descriptive statistics is the term given to the analysis of data that helps describe, show or summarize data in a meaningful way such that, for example, patterns might emerge from the data. Descriptive
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| 850-999 | 5 | 924.5 | 12.5 | 849.5 | 999.5 | 39 | 6 | 97.5 | 15 | 1000-1149 | 1 | 1074.5 | 2.5 | 999.5 | 1149.5 | 40 | 5 | 100 | 25 | TOTAL : 40 | Histogram of the Amount of Bill 14 12 10 8 6 4 2 100-249 250-399 400-459 550-699 700-849 850-999 1000-1149 INTERPRETATION: Histogram shows 400-459 amount has the highest frequency and 1000-1149 is the lowest. TABLE 2: Qualitative Frequency Distribution Table of Smoking/ Non- Smoking Respondents Smoking/
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City University College of Science & Technology Faculty of Business DBQT 2013 Business Statistics Semester May 2016 ASSIGNMENT 1 Answer all questions. Kindly print the cover page and attached with your answer script. 1. Classify the following sets of data as qualitative or quantitative. a) The religious affiliations of college students b) The height of each member of a basketball team c) Students’ scores on the first statistics exam d) The color of new SUV’s on a car lot e) The Olympic track and
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| Course Project: AJ DAVIS DEPARTMENT STORES | | | | | | This is a report presenting detailed statistical analysis of the data collected from a sample of fifty credit customers in the department chain store AJ DAVIS. Data was collected on five variables, which were location, income, size, years at current location and credit balance. The first variable analyzed was that of Location. The location data is a categorical variable. Which was further broken down into three subcategories
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Accountability Modules WHAT IT IS Return to Table of Contents Data Analysis: Displaying Data - Graphs Graphs are pictorial representations of the relationships between two (or more) variables and are an important part of descriptive statistics. Different types of graphs can be used for illustration purposes depending on the type of variable (nominal, ordinal, or interval) and the issues of interest. This module discusses some of the more common types of graphs. Graphs can be used any time one
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(14/50) 28%. Credit Balance The credit balance is the amount of funds that are currently charged to the credit card. Credit balance is a quantitative variable which means we actually can get an exact numerical value. A histogram is a graph of frequency distribution using rectangles. Descriptive Statistics: CREDIT BALANCE($) Total Variable Count N N* CumN Percent CumPct Mean SE Mean StDev CREDIT BALANCE($) 50 50 0
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Stacked Bar or Column Chart Relationship between two variables Scatter Plot Relationship between three variables Type of Graphs: 3-Dimension Surface Plot Graphic Representation Two types: Diagram Example: Graph Bar Pie Line Histogram Frequency Polygon Ogive When Diagram and when Graph? Diagram: When data split into different categories. Bar: Same type of variable against different year/time. Pie: Categorical data Graph: Long series of data / Frequency Distribution.
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