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Related Concept Videos

Percentage Frequency Distribution00:57

Percentage Frequency Distribution

A percentage frequency distribution, in general, is a display of data that indicates the percentage of observations for each data point or grouping of data points. It is a commonly used method for expressing the relative frequency of survey responses and other data. The percentage frequency distributions are often displayed as bar graphs, pie charts, or tables.
The process of making a percentage frequency distribution involves the following few steps: note the total number of observations;...
Relative Frequency Distribution00:55

Relative Frequency Distribution

A relative frequency distribution is the proportion or fraction of times a value occurs in a data set. To find the relative frequencies, one can divide each frequency by the total number of data points in the sample. It is very similar to a regular frequency distribution, except that instead of reporting how many data values fall in a class, a relative frequency distribution reports the fraction of data values that fall in a class. These fractions or proportions are called relative frequencies...
Cumulative Frequency Distribution01:04

Cumulative Frequency Distribution

A cumulative frequency distribution is another type of frequency distribution. Instead of reporting how many data values fall in some classes, it reports how many data values are contained in either that class or any class to its left. Technically, it means the sum of frequencies of the class and all the classes below it in a frequency distribution. A cumulative frequency is calculated by adding the frequency of each class lower than the corresponding class interval or category. In general, a...
Relative Frequency Histogram01:14

Relative Frequency Histogram

The relative frequency depicts the proportion of data points that have each value. The frequency tells the number of data points that have each value. Like the histogram, a relative frequency histogram also has the same shape with a horizontal scale (the x-axis), but the vertical scale (the y-axis) is marked with relative frequencies (percentages of the whole) instead of actual frequencies. A relative frequency histogram is a graphical representation of a frequency distribution where the...
Determination of Expected Frequency01:08

Determination of Expected Frequency

Suppose one wants to test independence between the two variables of a contingency table. The values in the table constitute the observed frequencies of the dataset. But how does one determine the expected frequency of the dataset? One of the important assumptions is that the two variables are independent, which means the variables do not influence each other. For independent variables, the statistical probability of any event involving both variables is calculated by multiplying the individual...
Applications of Life Tables01:22

Applications of Life Tables

Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...

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Related Experiment Video

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In Situ Soil Moisture Sensors in Undisturbed Soils
08:20

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Published on: November 18, 2022

[CT utilisation in Switzerland: frequency and secular trends].

B Midez1, A Aroua, F R Verdun

  • 1IUMSP Institut universitaire de médecine sociale et préventive, 17 rue du Bugnon, CH-1005 Lausanne, Switzerland.

Journal De Radiologie
|August 29, 2006
PubMed
Summary

Computed tomography (CT) examinations in Switzerland significantly increased between 1998 and 2004. This study highlights the growing use of CT scans and aims to optimize their application.

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Area of Science:

  • Radiology
  • Medical Imaging
  • Public Health

Background:

  • Computed tomography (CT) is a crucial diagnostic imaging modality.
  • Understanding the trends in CT utilization is essential for healthcare planning and resource allocation.

Purpose of the Study:

  • To analyze the frequency and progression of CT examinations in Switzerland.
  • To identify descriptive variables influencing CT utilization patterns.

Main Methods:

  • Data collected from administrative records, a nationwide inquiry, and Swiss university hospitals.
  • Analysis of CT examination frequency in 1998 and trends over time.
  • Inclusion of data from both hospitals and private radiology practices.

Main Results:

  • CT scanner numbers rose by 7% from 1998 to 2004.
  • In 1998, CT examinations averaged 46.3 per 1000 population.
  • Skull CTs were most common (24%); spine CTs were more frequent in private practices. Pediatric CTs stabilized at 5%.

Conclusions:

  • A significant increase in CT examinations was observed in Switzerland.
  • The study aims to raise physician awareness regarding CT utilization for optimization.
  • Further research may explore factors driving these trends and their clinical implications.