trend
A line graph is useful for showing trends or continuous change. Other kinds of graph also will show these, but a line graph is usually clearest.
frequency is the kinds of the line graph, bar graph, picture graph, pie graph. that's all
A normal distribution is symmetric and when looked at on a graph, the graph looks like a bell shaped curve. Approximately 95 percent of its values should lie within two standard deviations of the mean. Frequency of the data lies mostly in the middle of the curve.
No it is not. The ogive is a graph that represents the cumulative frequencies for the classes in a frequency distribution.
A normal distribution is symmetrical; the mean, median and mode are all the same, on the line of symmetry (middle) of the graph.
The data values with the highest frequency, gives the peak of the distribution graph.
butt sucker
In general, y-axis values are the values that depend on the x-axis values.
A distribution function or a cumulative distribution function. The spread and range are also immediately apparent from a box [and whiskers] plot.
I believe trends in data should be presented in a graph.
A line or bar graph is ideal for showing trends.
For a general cosine graph, they would be the maximum and minimum values, and the values of the independent variable at which these are attained.Note that the graph of y = cos(x)+2 is never equal to zero, so there may not be any roots.
a bar graph
graph
The answer depends on what the graph is of: the distribution function or the cumulative distribution function.
A line graph is useful for showing trends or continuous change. Other kinds of graph also will show these, but a line graph is usually clearest.
It has no special name - other than a normal (or Gaussian) distribution graph.