How do frequency tables, relative frequencies, and histograms showing relative frequencies help us understand sampling distributions? They show each data point in the sampling distribution and how it relates to the overall distribution.They provide insight into the overall behavior of the population, therefore helping us understand the sampling distribution.    They help us visualize the sampling distribution by using tables and graphs that approximately represent the sampling distribution.They help us visualize the sampling distribution by using tables and graphs that approximately represent the population distribution.

Determine the type of variation model that best fits the data in the attached image.

MAT 312 PLEASE HELP After being hired as a financial advisor for a large real estate company, you have been tasked with exploring trends between home size (square ft) and property taxes to see if a relationship exists and if that trend can be applied outside of just the sample data. In the Excel Lab #5 Data File, you will find raw data on sheet 1. However, to simplify your calculations, you have only been asked to test a random sample of 10 homes. So, your first step will be to randomly select data from 10 of the homes and paste them into sheet 2 called “sample data”. This will be the data that you will analyze. (You can generate 10 random numbers between 5 and 30 however you want for your sample, but know that there is essentially no chance two students should have the same 10 samples). Within the Excel spreadsheet, use the Excel tools/functions to calculate the correlation coefficient, test statistic, and p-value. You will also use Excel to generate a scatterplot of your sample data…

Several years ago, the state of California launched an aggressively advertisement campaign against smoking. We've interviewed students from 16 college campuses in California and recorded for each campus the percentage of students who claimed that they had encountered assay least one anti smoking advertisement on campus in the past month.  Here are those percentages.  53 39 30 49 48 42 41 38 26 36 40 42 52 51 45 50 Construct a box and whisker plot for the data.

Put these steps for the process of statistics in the correct order.

The price drivers pay for gasoline often varies a great deal across regions throughout the United States. The following data show the price per gallon for regular gasoline for a random sample of gasoline service stations for three major brands of gasoline (Shell, BP, and Marathon) located in eleven metropolitan areas across the upper Midwest region (OhioGasPrices.com website, March 18, 2012). Click on the datafile logo to reference the data. DATA file Shell BP Metropolitan Area Marathon Akron, Ohio Cincinnati, Ohio Cleveland, Ohio Columbus, Ohio Ft. Wayne, Indiana Indianapolis, Indiana Lansing, Michigan Lexington, Kentucky Louisville, Kentucky Muncie, Indiana Toledo, Ohio 3.77 3.72 3.87 3.76 3.78 3.87 3.89 3.79 3.83 3.83 3.85 3.77 3.83 3.85 3.93 3.84 3.84 4.04 3.87 3.87 3.99 3.79 3.78 3.81 3.69 3.78 3.84 3.84 3.83 3.79 3.79 3.86 3.86 Use a = .05 to test for any significant difference in the mean price of gasoline for the three brands. Round SS to 6 decimals, MS to 6 decimals, F to 2…

In a recent article you see a histogram graph that displayed the average number of hours teens get in a night.  The graph is a form of what type of statistics? Descriptive or  Inferential

True or false. When drawing a scatter diagram, the explanatory variable is placed along the vertical axis.

Summarize the effect different kinds of outliers can have on a data set in terms of how we interpret whether we have a good model or not.

It is generally believed that there is a relationship between a college’s acceptance rate and its graduation rate. I wanted to know how strong this relationship is within the top universities in the country so I collected the graduation rate and acceptance rate data of a randomly selected sample of universities from all the top U.S. universities (with an acceptance rate at or below 30%). The data set is in Tab Q2 of the Excel data file. a.) Create a scatter plot between the two variables using Excel. Paste the plot here and format it into an APA-styled “figure” (see Assignment Guides for APA format).Be sure to submit the Excel file that you used to create the scatter plot.     b) Calculate the mean and standard deviation for the two variables separately.   c) Calculate the Z scores for all the scores of the two variables, separately.Tips: It may help to prevent error and to increase clarity if the process and/or the answers (z scores) are listed in a table format.     d) Calculate…