Exploratory Data Analysis

Standard Deviation for the mean column is 0.476Standard Deviation for the median column is 0.754Standard deviation for the mean column has least variability

-The shape of both data sets fall within the rule of thumb estimate and that actual standard deviation. There is a much high range for both and that is because there are several data samples that fall outside of the standard deviation.

and SD are _______________________ statistics. The mean is the measure of Central tendency of a distribution while SD is a measure of dispersion of its scores. Both X and SD is descriptive statistics.

* 7. The mean (Median) is a measure of location (central tendency) of a distribution while the SD is a measure of scale (variability) of its scores. Both mean and SD are measure of descriptive statistics.

Standard deviation is a way of visualizing how spread out points of data are in a set. Using standard deviation helps to determine how rare or common an occurrence is. For example, data points falling within the boundaries of one standard deviation typically account for about 68% of data and those between (+/-)1 standard deviation and (+/-)2 standard deviations make about 27% combined. This can be better visualized by using a bell graph. Using the mean and standard deviation, the points where standard deviations occur can be drawn on the graph to better understand which data is rare and which is common.

c) Is there a high probability that the mean and standard deviation of your sample are consistent

5. The standard deviations of the groups are different between these two data sets. This implies that both girls and the boys groups have a large variability in their data. The reason is that the standard deviation for boys is 5.9 and the standard deviation for girls is 5.0. This means the data has a wide range of data within the mean.

Both graphs will have the same shape (they will both be bell-shaped) and they will be centered at the same place (the common mean). The graph of the variable with the smaller standard deviation will be narrower and taller than the other graph.

spread of scores from the mean (Burns & Grove, 2007). The larger the value of the standard deviation for study variables, the greater the dispersion or variability of the scores for the variable in a

21) Seventy two percent of all observations fall within 1 standard deviation of the mean if the data is normally distributed.

A normal distribution can be regarded as the most important continuous probability distribution in statistics since it can be utilized to model several sets of measurements in business, industry, and nature. For instance, normal distributions can be used to measure the systolic blood pressure of humans, housing costs, and the lifetime of television sets through random variables. Generally, normal distributions can have any mean and positive standard deviation as the two parameters totally determine the shape of the normal curve during evaluation. In this case, the mean determines the location of the symmetry line while the standard deviation defines how much the data are spread out ("Normal Probability Distributions", n.d.).

Two sets of data both have a mean of 17. Set A has a standard deviation of 3.5. Set B has a standard deviation of 6.8. Explain specifically what the different standard deviation measurements tell you as a researcher about the two data sets?

5. The arithmetic mean is only measure of central tendency where the sum of the deviations of each value from the mean will always be zero

I will be doing a bar graph on the amount of candy produce daily. “A bar graph consists of bars representing frequencies (or relative frequencies) for particular categories” (Bennett,2012, p. 87).

But If I would choose only one measure of center I would choose the median because it is resistant to outliners. And if I would choose one measure of spread I would choose the standard deviation because standard deviation explain how the data set is separated around the mean, as a result I can understand the spread of the data, and draw conclusions and estimations.