Assignment 2 Solved(1)

The entirety of the data set will be in the two pictures

Please use the given info to answer the subquestion Part B

Please use the given info to answer the subquestion Part A

The whole data set will be in the two pictures

Spend at least 20 minutes looking at a few of the different unique data visualization ideas foundat this blog: http://flowingdata.com/. Discuss one of the posts in a few sentences, copying inany appropriate (and appropriately resized) graphics.

The r code for side by side boxplot of vitamind v newage and vitamin d v country. Scatterplot code for relationship between vitamin d level and age.

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In IBM SPSS, what does clicking on this icon do?

Give a detailed outline for this: Also, do not give plagirised answer. Suppose that you have two sets of data. The first set is a list of all the injuries that were seen in a clinic in a month's time. The second set contains data on the number of minutes that each patient spent in the waiting room of a doctor's office. You can make assumptions about other information or variables that are included in each data set. For each data set, propose your idea of how best to represent the key information. To organize your data, would you choose to use a frequency table, a cumulative frequency table, or a relative frequency table? Why? What type of graph would you use to display the organized data from each frequency distribution? What would be shown on each of the axes for each graph? Minimum of 1 scholarly source and one appropriate resource such as the textbook, math video, and/or math website

You will use the following data set to answer all parts of the project. This data set is the number of students enrolled at CCA from 2015 to 2019 by semester   Fall 2015 6933 Summer 2015 2495 Spring 2015 7518 Fall 2016 7386 Summer 2016 2301 Spring 2016 8056 Fall 2016 8025 Summer 2016 2235 Spring 2016 8725 Fall 2018 7982 Summer 2018 2140 Spring 2018 8436 Fall 2019 5859 Summer 2019 2089 Spring 2019 9048     1)      Find the mean, median, and mode for CCA Student enrollment data set.  Then using the formulas for samples, find the variance and standard deviation.      2)       Organize the data set on student enrollment by creating a frequency distribution and include the relative frequency.  Group the data into seven logical equal intervals starting with 2,000 ≤ x < 10,000 and so on.                 x f relative f…

The basketball coach at a local college believes that his team scores more points at home games when more people show up. Below is a list of all home games last year with scores and corresponding attendance. Use Excel, SPSS, or work by hand to show your work finding r. Show your work on the attached pages. Score Attendance   Score Attendance 54 380   67 410 57 350   78 215 59 320   67 113 80 478   56 250 82 451   85 450 75 250   101 489 73 489   99 472 53 451       a. What is the correlation between Score and Attendance rounded to 2 decimals? b. In terms of strength and direction, how would you describe this correlation?  c. What is the obtained t-score for this correlation?  d. What is the critical t-score for a two-tailed test with a ?  e. Is this correlation significant based on the t-scores? f. Based on Table 10.4, approximately how many cases would you expect to need to…

The basketball coach at a local college believes that his team scores more points at home games when more people show up. Below is a list of all home games last year with scores and corresponding attendance. Use Excel, SPSS, or work by hand to show your work finding r. Show your work on the attached pages. Score Attendance   Score Attendance 54 380   67 410 57 350   78 215 59 320   67 113 80 478   56 250 82 451   85 450 75 250   101 489 73 489   99 472 53 451       What is the obtained t-score for this correlation? What is the critical t-score for a two-tailed test with a = 0.05? Is this correlation significant based on the t-scores?

The basketball coach at a local college believes that his team scores more points at home games when more people show up. Below is a list of all home games last year with scores and corresponding attendance. Use Excel, SPSS, or work by hand to show your work finding r. Show your work on the attached pages. Score Attendance   Score Attendance 54 380   67 410 57 350   78 215 59 320   67 113 80 478   56 250 82 451   85 450 75 250   101 489 73 489   99 472 53 451         g. What is the coefficient of determination for this relationship? h. Interpret for these two variables presuming a causal relationship was expected.

An business reviews data on the daily amount of calls it receives. Are the data discrete or continous?

Hi i’m in grade 12 Data Management and i need help with this practice question

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A popular summer event is Skee-Ball. For $2, a customer purchases three balls and attempts to roll each ball into a central target. The customer wins their $2 back and wins an additional $1 if they hit the target once, an additional $3 if they hit the target twice and an additional $5 if they hit the target three times. If the customer does not hit the target at all, they lose their initial $2. Access the data set labeled ”Skee-Ball” which reports the outcomes of 2,500 games for a single day’s operation of a Skee-Ball booth. (a) Define a random variable C (Customer Score) equal to the number of times a customer hits the target in each set of three rolls. How many possible outcomes of C are there? Report your answer as an integer. (b) Report the net profit ($) that the Skee-Ball booth achieved for the day. Report your answer as an integer. Hint: Estimate the PDF of C based on the relative frequencies: P(C = c) = Frequency of C = c / 2,500 (c) Report P(C = 0). Round your answer to three…

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Please help!! From these following topics in CANADA, choose one of the 3, and formulate a research question, in which you could analyze the data. Sawn wood: Sawn wood, production, deliveries and stocks by species Weather: Weather data for Hamilton January 2020 Basketball - The Raptors: Statistics with the players

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 Identify the domain of the data set.

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Q3 needed to be solved correctly in 30 minutes and get the thumbs up please show neat and clean work

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Walter is a sales manager for a chain of car dealerships. He encourages the managers at each store to spend as much time on the sales floor as they can. He is curious if this has any effect on the number of cars sold. Each manager reports the number of hours per day he or she spends on the sales floor. From this, Walter creates the scatterplot below showing sales and time on the floor. What information can Walter infer from the scatterplot? Select all that apply. 10 9 8 1 1 3 4 7 Average Hours on Sales Floor O There is a positive correlation between hours on the sales floor and sales. O There is no correlation between hours on the sales floor and sales. O There is a negative correlation between hours on the sales floor and sales. O Walter should require all managers to spend more hours on the sales floor. O Walter should make no changes to policies regarding hours on the sales floor for managers. O Walter should help managers who spend little time on the sales floor find ways to spend…

PLEASE ONLY RESPOND TO PART D, E, AND F THE REST HAS BEEN SOLVED    The average waiting time for a patient at an El Paso physician's office is just over 29 minutes, well above the national average of 21 minutes. In order to address the issue of long patient wait times, some physician's offices are using wait tracking systems to notify patients of expected wait times. Patients can adjust their arrival times based on this information and spend less time in waiting rooms. The following data show wait times (minutes) for a sample of patients at offices that do not have an office tracking system and wait times for a sample of patients at offices with an office tracking system. Without WaitTracking System With WaitTracking System 24 31 67 11 17 14 20 18 31 12 44 37 12 9 23 13 16 12 37 15 (a) What are the mean and median patient wait times (in min) for offices with a wait tracking system? mean  minmedian  min What are the mean and median patient wait times (in min)…