Construct a grouped frequency distribution table (GFDT) for this data set. You want 10 classes with a "nice" class width. A "nice" class width would be a multiple of 5 or 10. Your classes should be labeled using interval notation. Since the data appears to be discrete, use a closed-interval to label each class. Each class should contain its lower class limit, and the lower class limits should

Below are the times (in days) it takes for a sample of 22 customers from Jack's computer store to pay their invoices. 19, 15, 43, 39, 35, 31, 27, 22, 18, 14, 42, 38, 13, 13, 41, 41, 37, 37, 37, 33, 33, 33 Send data to calculator Draw the frequency polygon for these data using an initial class boundary of 12.5 and a class width of 7. Note that you can add or remove classes from the figure. Label each class with its midpoint. Frequency 7. Check 26°F Clear Q Search 0:00 00:0 X Save For Later C Submit Assignme

Stocks may be categorized by industry. The accompanying data represent three-year rates of return for a sample of financial stocks and retail stocks. Complete parts (a) through (e) below. Click the icon to view the data tables. (a) Construct a relative frequency distribution for each industry. To make an easy comparison, create each frequency distribution so that the lower class limit of the first class is -20 and the class width is Construct a relative frequency distribution for financial stocks. Complete the table below. Rate of Return Relative Frequency Rate of Return Relative Frequency -20 to -0.01 100-119.99 0-19.99 20-39.99 40-59.99 60-79.99 80-99.99 (Round to three decimal places as needed.) -xample Get more help. 120-139.99 140-159.99 160-179.99 180-199.99 1 √₁ Vi 1, Rates of Return Financial Stocks Full data set - 19.75 55.74 55.39 58.44 59.94 0.45 102.29 52.27 195.61 -1.82 44.35 46.14 177.43 85.34 20.57 196.67 57.37 106.80 24.36 93.07 78.51 85.12 176.32 14.83 116.35 150.77…

Here is a data set: Data range 210-229 230-249 250-269 270-289 290-309 214 217 219 223 228 238 241 245 247 253 253 254 X Construct a frequency distribution table for this data set. • Number of classes: 10 • Use a "nice" class width, such as a multiple of 5 or 10. • Label classes using interval notation. • For example, if the class is 70-79, label it as [70,79]. The lower class limit should be a multiple of the class width. • • For example, if the class width is 10, the lower class limit should be a number like 30 or 40 (depending on the data). X 5 263 265 286 291 X 4 50 11 250 X 2 256 X 8 10% Frequency 28 266 269 287 290 291 303 305 307 56 259 262 X

How to find the class width of a frequency table?

Suppose a researcher collects data on the air pollution levels, measured in milligrams per cubic meter, for both urban and rural areas in 35 states. The data is plotted with urban air pollution levels on the horizontal axis and rural air pollution levels on the vertical axis. Nevada is an outlier in the ?x‑direction. What must be true about this state? The urban air pollution levels for this state are much higher or lower than the rest of the states in the data set. The rural air pollution levels for this state are much higher or much lower than the rest of the states in the data set. This state is an influential observation. The rural air pollution levels for this state are much higher or lower than other states in the data set that have similar urban air pollution levels. The absolute value of the residual of this state is large.

is a graph showing the number of observations in each class of a frequency distribution. O a histogram O b. polygon O c. frequency distribution O d. relative frequency distribution

Here is a data set: 203 231 233 238 257 263 275 285 285 286 302 311 313 314 319 323 326 328 336 339 362 364 366 378 390 390 422 447 Construct a frequency distribution table for this data set. Number of classes: 10 Use a "nice" class width, such as a multiple of 5 or 10. Label classes using interval notation. For example, if the class is 70-79, label it as [70,79]. The lower class limit should be a multiple of the class width. For example, if the class width is 10, the lower class limit should be a number like 30 or 40 (depending on the data). Data range Frequency