Lab 2-Graphing Data and Numerical Summaries_Student

Create a side-by-side boxplot for vitamin D level vs. NewAge and a side- by-side boxplot for vitamin D level vs. country. Create a scatterplot to show the relationship between vitamin D level and Age. Compare these two side-by-side boxplots and the scatterplot and explain your findings. • Note: Write appropriate captions for the tables, graphs, and outputs.

Now monitor the process. An additional ten days of data have been collected, see table labeled “1st 10 Days of Monitoring Reservation Processing Time” in the Data File. Develop Xbar and R charts for the 1st 10 days of monitoring. Plot the data for the 1st 10 days on the Xbar and R charts. Is the process in control? If the control chart indicates an out-of-control process, note which days, the pattern, and whether it is the Xbar or R chart.   Based on the X-bar and R Charts that you developed for the 1st 10 days of data, is the process in control?   Group of answer choices No. The X-bar and R Charts are both out of control. No. The X-bar Chart is in control, but the R Chart is out of control. No. The R Chart is in control, but the X-bar Chart is out of control. Yes. The X-bar and R Charts are both in control.

Install RStudio: Begin by installing RStudio on your computer. If you haven't done so, please refer to the official RStudio website for download and installation instructions. Watch the Tutorial Video: Watch the provided video tutorial that explains how to run RStudio. Pay close attention to the steps for opening and managing data files. https://www.youtube.com/watch?v=RhJp6vSZ7z0 Open RStudio: Once RStudio is installed, open the application. Load the Dataset: In RStudio, open a data file named "mtcars". To do this, type the command mtcars in the script editor and run the command. Attach the Data: Next, attach the dataset using the command attach(mtcars). Examine the Variables: Carefully review and note the names of all variables in the dataset. Examples of these variables include: Mileage (mpg) Number of Cylinders (cyl) Displacement (disp) Horsepower (hp) Research: Google to understand these variables. Statistical Analysis: Select mpg variable, and perform the following…

A group of people at the park were asked their ages, and the results can be downloaded from the data file Ages.   In StatKey, which menu option would you select under "Descriptive Statistics and Graphs" to graph the data?     One Quantitative     One Categorical     One Quantitative and One Categorical     A group of people at the park were asked their ages, and the results can be downloaded from the data file Ages.   Summarize this data by creating a histogram with StatKey, and submit your graph as a PDF.  When creating your graph, please make sure the number of buckets is set to 10.

tion 2 of 15 Last summer, the Smith family drove through seven different states and visited various popular landmarks. The prices of gasoline in dollars per gallon varied from state to state and are listed below. $2.34, $2.75, $2.48, $3.58, $2.87, $2.53, $3.31 Click to download the data in your preferred format. CrunchIt! CSV Excel JMP Mac Text Minitab PC Text R SPSS TI Calc Calculate the range of the price of gas. Give your solution to the nearest cent. range: dollars per gallon DELL & 4. 7 8.

Johnson Filtration, Inc. provides maintenance service for water-filtration systems. Suppose that in addition to information on the number of months since the machine was serviced and whether a mechanical or an electrical repair was necessary, the managers obtained a list showing which repairperson performed the service. The revised data follow. Click on the datafile logo to reference the data. DATA file Repair Time Months Since in Hours Last Service Type of Repair Repairperson 2.9 Electrical Dave Newton 3.0 Mechanical Dave Newton 4.8 8. Electrical Bob Jones 1.8 Mechanical Dave Newton 2.9 Electrical Dave Newton 4.9 Electrical Bob Jones 4.2 6. Mechanical Bob Jones 4.8 8. Mechanical Bob Jones 4.4 4. Electrical Bob Jones 4.5 Electrical Dave Newton a. Ignore for now the months since the last maintenance service (1 ) and the repairperson who performed the service. Develop the estimated simpe linear regression equation to predict the repair time (y) given the type of repair (2 ). Recall that…

Please answer number 3 from a-c. Neglect the number 2 questions. Thanks.

On a cold day in Minneapolis, the afternoon temperature was 48 degrees before a cold front moved through. As the front moved through the temperature dropped an average of 5 degrees per hour for a total of 5 hours. 14 2/1 目 Identify the domain of the data set.

On December 17, 2007 baseball writer John Hickey wrote an article for the Seattle P-I about increases to ticket prices for Seattle Mariners games during the 2008 season. The article included a data set that listed the average ticket price for each MLB team, the league in which the team plays (AL or NL), the number of wins during the 2007 season and the cost per win (in dollars). The data for the 16 National League teams are shown below. league price wins cost/win team Arizona Diamondbacks NL 19.68 90 35.40 Atlanta Braves NL 17.07 84 32.89 Chicago Cubs NL 34.30 85 65.33 cincinnati Reds NL 17.90 72 40.32 Colorado Rockies NL 14.72 90 26.67 Florida Marlins NL 16.70 71 38.13 Houston Astros NL 26.66 73 59.11 Los Angeles Dodgers 20.09 82 34.64 NL Milwaukee Brewers NL 18.11 83 35.37 N.Y. Mets NL 25.28 88 46.56 Philadelphia Phillies 26.73 89 48.69 NL Pittsburgh Pirates NL 17.08 68 40.67 San Diego Padres NL 20.83 89 38.15 San Francisco Giants NL 24.53 71 56.00 St. Louis Cardinals NL 29.78 78…

The spreadsheet at MarathonWinningTimes.xlsx shows the history of the winning time in the Boston Marathon for men and women from 1966 (when women first ran) through 2013. What is the average rate at which the men’s finishing time changed from year to year?

Briefly describe the methods of collecting primary data

please assist with this NON GRADED assignment

A lecturer at WIN wanted to know if he can predict student’s quiz results by asking them to complete a simple survey. The result of the survey is found in the file: Assignment 2 sem22020 data set 1.Quiz ResultActual Mark (0-15) for quiz student attainedEQRQuiz score (0-15) expected to get before taking the quizStudy Hrs.Number of hours per week (on average) spent studying for StatisticsAgeAge (in years)BBTSatisfaction rating of Big Bang TheorySexM=1 F=0MBMB=1 for good math background, otherwise 0MCMC= 1 if math centre is used regularly, otherwise 0AuHSAuHS = 1 if student completed high school in Australia, otherwise 0LMLM=1 if student likes math, 0 otherwiseTask 1: Variable List(a) Using the variables listed in the table above, Describe each variable.(b) State for each variable whether it is qualitative or quantitative; if it is qualitative, state whether it is nominal or ordinal, and if it is quantitative, state whether it is discrete or continuous.Task 2: HistogramCreate a histogram…

Four different paints are advertised as having the same drying time. To check the manufacturer's claims, five samples were tested for each of the paints. The time in minutes until the paint was dry enough for a second coat to be applied was recorded. The following data were obtained. Excel users: The data set is available in file named Paint. All data sets can be found on the premium online datasite. Click on the datafile logo to reference the data. (the excel data is below) Paint 1 Paint 2 Paint 3 Paint 4   128 144 133 150   137 133 143 142   135 142 137 135   124 146 136 140   141 130 131 153                                           At the A=0.05 level of significance, test to see whether the mean drying time is the same for each type of paint. Compute the values identified below (to 2 decimals, if necessary).   Sum of Squares, Treatment   Sum of Squares,…

An insurance company hires an actuary to determine whether the number of hours of safety drivingclasses can be used to predict the number of driving accidents for each driver. Identify theexplanatory variable, if any.