There are distinctive differences in height between the four plots. Plot 3 is located on the slope and had the greatest mean height with 28.22m. This was 13% and 20% taller than the next tallest plot and the stand mean height respectively. The plots heights have a range of 19.75 to 31.77 (12.02) and this is the largest range out of all the plots. Plot 2 had the second largest mean height with 24.97m and had a range of 20.53m to 31.34m (10.81). This means the average height was 6.8% higher that the stand average, but in comparison to the next tallest plot it is very similar with only a 0.12m difference. Plot 1 had the third largest mean height with 24.85m and had a range of heights from 22.35m to 28.02 (5.67). In comparison to the stand average it is 6.2% taller, however it is a massive 60% taller than the next tallest plot. Furthermore, this plot had the smallest range of height out of the four plots. …show more content…
This is a massive 33.7% shorter than the stand average. Overall, the data shows distinctive differences between plots. The data shows that the two flat plots (1 and 2) are very similar in height as there is minimal differences between the two plots (only 0.43%). However, it can be seen that there is a major difference in height between the two sloped plots (3 and 4) as there is a 45% difference between the two. Furthermore, the data shows that there are differences between the sloped and flat plots and also that there is a massive 82% mean height difference between the smallest and largest plot. Note: all heights that have been assumed to be outliers have been left out of
7. Question : In a frequency distribution such as a bell-shaped curve, what does the vertical height of the curve indicate?
All i did for this one was basically calculate the slopes because I didn't want to over think the question. Based off the figures let's calculate the following slopes...
Figure 3: The graph shows the differences between standard lengths of population A and B. It is easy to see the difference in size between the populations.
The estimated total volume change is shown in Figure 1. Because the slope of the data trend after
This concept is manifested in the inquiry as I will be reviewing the levels of rainfall and the sizes of stalactites from smallest to largest in Princess Margaret Rose Cave.
(a). Plot mean chart (x-chart) and range chart (R-chart) to analyze these data. Sample No. Observations Mean Range
6. Why is the black line so much more variable than the red line? What 's the difference between the data they show?
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.
Then the average of each of the five I-button readings were put into the seven column of each of the two charts. To find the average in Excel they typed “=AVERAGE (highlight all cells to be averaged)” in the function box and selected the box where the answer should go. Then, dragged the blue marker in the corner of the box down the column to find all of the averages (Biology 301 Handout, Graphing Populus Data pg 1-4).
X‐height refers the area between the heights of the part of the lowercase character that is above a mean line descending part of the letter that increases the reader’s visibility and readability
We conduct an independent sample t-test using Excel, and obtain the following output (see t-test-height)
Who has the smartest rat? Maria and Tran want to find out who’s rat is smarter. To find this they timed how long it took both rats to get through a maze. To help them solve this problem I first analysed the data by finding the mean, median, mode, and range for each rat. The data shows that Maria’s rat is smarter. Many things show this , but two of them are the range and the box plot.
Construct back-to-back stem-and-leaf plots and histograms and describe data, using terms including ‘skewed’, ‘symmetric’ and ‘bi-modal’.
3.Without having personal insight into the author's rationale for choosing a grouped scatter plot to present this data, I have to assume that the authors wished to visually portray the distributions and a scatter plot was their choice. An alternative and equally valid choice would have been the box plot, but the granularity of the distribution would have been lost by using a box plot. In other words, the box plot would have
On the graph above you can see that both the quadratic and the line are both adequate representations of the data collected by gold medalists for the men’s high jumps in the Olympics. Both of these lines follow the plots made on the original graph and they don’t stray too far from those lines either. There only outlier for the quadratic seem to be the medalist from the 1948 Olympics because his height is far below the quadratic. There might be some problems with the exact position of where the quadratic is and where the line is because they were drawn by hand and not on the computer like the stat plots which could potentially cause problems for interpreting the data.