Descriptive Statistics and Interpretation custom essay

Create a Microsoft® Excel® spreadsheet with the two variables from your learning team’s dataset.
Analyze the data with Microsoft® Excel® or other statistical tool(s), including:
Descriptive stats for each numeric variable
Histogram for each numeric variable
Bar chart for each attribute (non numeric) variable
Scatter plot if the data contains two numeric variables
Determine the appropriate descriptive statistics.
For normally distributed data use the mean and standard deviation.
For significantly skewed data use the median and interquartile range.
Use the Individual Methodology Findings Template to complete the descriptive statistics.

Use the Descriptive Statistics and Interpretation Example to develop an interpretation of the descriptive statistics.
Format your paper consistent with APA guidelines.

Quadratics custom essay

Brett is jumping on a trampoline in his backyard. Each jump takes about 2s from beginning to end. He passes his bedroom window, which is 4m high, 0.4s into each jump. By modelling Brett’s height with a quadratic relation, determine his maximum height.

Intro To Statistics custom essay

How would you respond to each of the 2 responses indicated below to the question. The question was:

Every year the government shares with us the US Household Median Income. We know that both mean and median are central measures. Why is the Median Income used and not the Average? What do you believe that the average income will be? What type of datasets have similar mean and median? What type of datasets have different mean and median?

Response #1:

The Median income (53,657) is used and not average because the Median is more symmetrically/continues distributed data. Maybe the data was skewed (You can use the average or median when the population is symmetrical because they will give you almost an identical result.) I believe that the average income would be a lot less and inaccurate. Interval/ratio datasets have similar mean and median. Nominal datasets use mode to calculate so they have different mean and median.

The reason that the government reports the Median Income is because the mean would be skewed higher due to extremes. The wealthiest 1% of Americans make significantly more than the rest of the country and if the government reported the mean it would be significantly higher than what the middle American actually makes.

The types of data sets that have a similar mean and median are data sets without outliers. Also data sets with a normal distribution have a similar mean and median. On the contrary, data sets with different mean and medians are data sets with outliers. The US Household Median Income would be a perfect example of a data set that has a different mean and median.