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If you were to make a histogram of the following data what would the shape be Scores 1 1 1 2 3 3 3?
The histogram of the given data would likely have a right-skewed shape, with a concentration of values at the lower end. The scores of 1 appear three times, while the scores of 2 and 3 appear less frequently. This results in a peak at the score of 1, tapering off as the scores increase. Overall, the distribution shows a clear concentration of lower scores with fewer higher scores.
What else can I help you with?
What percent of the scores are between 63 and 90?
To determine the percentage of scores between 63 and 90, you would need the complete dataset or a statistical summary (like a frequency distribution or histogram) of the scores. By counting the number of scores within that range and dividing by the total number of scores, then multiplying by 100, you can calculate the percentage. Without specific data, it's impossible to provide an exact percentage.
What would the average be of the following test scores 90?
To calculate the average of the test score 90, you would need at least one more score for comparison. However, if 90 is the only score, the average is simply 90. If additional scores are provided, you would sum all the scores and divide by the total number of scores to find the average.
Which type of graph would best display interval data?
A histogram
Which set(s) of data would you expect to be symmetrical when displayed in a histogram?
A dataset is likely to be symmetrical in a histogram if it follows a normal distribution, where the values are evenly distributed around the mean. Examples of such data include heights, weights, or test scores in a large, homogeneous population. Additionally, datasets that are generated from processes that balance around a central value, like the results of repeated measurements, often exhibit symmetry in their histograms.
Explain why the discrete histogram equalization technique does not generally yield a flat histogram?
All that histogram equalization does is remap histogram components on the intensity scale. To obtain a uniform (­at) histogram would require in general that pixel intensities be actually redistributed so that there are L groups of n=L pixels with the same intensity, where L is the number of allowed discrete intensity levels and n is the total number of pixels in the input image. The histogram equalization method has no provisions for this type of (arti®cial) redistribution process.
What percent of the scores are between 63 and 90?
To determine the percentage of scores between 63 and 90, you would need the complete dataset or a statistical summary (like a frequency distribution or histogram) of the scores. By counting the number of scores within that range and dividing by the total number of scores, then multiplying by 100, you can calculate the percentage. Without specific data, it's impossible to provide an exact percentage.
Would a histogram help you to data analyze data?
As a visual representation of data, then a histogram is a way of analysing data.
Where would you use a histogram in real life?
NO where!
What is the shape of the bases for the following polyhedron?
It would help if the "following" did actually follow!
How do you draw frequency polygon without using histogram?
You draw a series of line segments joining the points which would be the middle of the top of each bar of the histogram.
Which type of graph would best display interval data?
A histogram
What is a bimodal histogram?
bimodal histogram is a histogram where there are two clear high points on the graph. ex.) age of people at a preschool play group. There would be preschool age and adult age. Not many teenagers or elderly. Bimodal...the ages representing preschool and adult (parents?) would stand above the rest
What is the aggregate of the following scores made by a batsman 15 10 30 70?
The aggregate of the scores made by the batsman would be the total sum of all the scores. In this case, the aggregate would be 15 + 10 + 30 + 70 = 125.
Explain why the discrete histogram equalization technique does not generally yield a flat histogram?
All that histogram equalization does is remap histogram components on the intensity scale. To obtain a uniform (­at) histogram would require in general that pixel intensities be actually redistributed so that there are L groups of n=L pixels with the same intensity, where L is the number of allowed discrete intensity levels and n is the total number of pixels in the input image. The histogram equalization method has no provisions for this type of (arti®cial) redistribution process.
Which set(s) of data would you expect to be symmetrical when displayed in a histogram?
A dataset is likely to be symmetrical in a histogram if it follows a normal distribution, where the values are evenly distributed around the mean. Examples of such data include heights, weights, or test scores in a large, homogeneous population. Additionally, datasets that are generated from processes that balance around a central value, like the results of repeated measurements, often exhibit symmetry in their histograms.
What kind of graph should you use for quiz?
For displaying quiz results, a bar graph is typically the most effective choice, as it clearly represents the scores or responses of different participants or categories. If you want to show the distribution of scores across all participants, a histogram can be useful. For illustrating trends over time, such as improvements in scores across multiple quizzes, a line graph would be appropriate. Choose the graph type based on the specific data you want to highlight.
Do bar graphs and picture graphs show a pattern over time?
No. That would be a histogram.
