verage sales ability 10 15 25   Average sales ability 55 65 30   Above average sales ability 85 90

Here are the numbers of robberies in New York City, according to the New York Police Department (NYPD), for 2000 through 2017. Display these data in a graph. Year: 2000 2001 2002 2003 2004 Count: 32,562 28,202 27,229 25,989 24,373 Year: 2005 2006 2007 2008 2009 Count: 24,722 23,739 21,809 22,401 18,601 Year: 2010 2011 2012 2013 Count: 19,486 19,717 20,144 19,128 Year: 2014 2015 2016 2017 Count: 16,539 16,931 15,500 13,956 Click to download the data in your preferred format.    CSV    Excel    JMP    Mac-Text    Minitab    PC-Text    R    SPSS    TI    CrunchIt! What are the most important facts that the data show? The crime rate appears to be leveling off. The largest percentage decrease in the crime rate was between 2000 and 2001. In another 17 years, the crime rate will be close to zero. There were less than half as many robberies in 2017 than there were in 2000. Robberies decreased overall from 2000 to 2017, with occasional…

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?

What percentage of data would you predict would be between 25 and 50 and what percentage would you predict would be more than 50 miles? Use the Week 4 spreadsheet again to find the percentage of the data set we expect to have values between 25 and 50 as well as for more than 50. Now determine the percentage of data points in the dataset that fall within each of these ranges, using same strategy as above for counting data points in the data set. How do each of these compare with your prediction and why is there a difference? Predicted percentage between 25 and 50: ________________________ Actual percentage: Predicted percentage more than 50 miles: Actual percentage: ___________________________________________ Comparison ____________________________________________________ Why? __________________________________________________________ Drive: 44 20 88 6 71 42 76 63 61 63 84 28 55 33 88 80 86 83 5 85 25 25 54 54 81 73 29 76 78…

Find the median of this set of numbers: 7, 6, 19, 12, 16,,19, 19, 6 16 14 Music off Zoom in hp -> backs esc & %23 $ 7 3 1 t * 00 15

Please no written by hand solution and no image

hello I just need help with the 3rd and fourth part

It’s number 17 please I need help making the frequency table and finding the ages of the most common winners

how can i tell is a frequency table is skewed

The stacked column graph below shows additional information from the Bureau of Labor Statistics¹ about employment and education for two groups of workers in the United States compared with the graph discussed in the in-class activity. This graph includes data about workers aged 65 and older. Percentage Employment distribution of workers by education 1997 and 2007 2007 Age 65 and older Pocholode higher's degree. college or associate graduates college mless than a high school. diploma Part A: Use the graph to estimate the following information for the Age 65 and older group and complete the following table. 2007 Age 65 and older 1997 % % % % % % Bachelor's degree or higher Some college or associate degree High school graduates, no college % % Less than a high school diploma % AP % Total