In: Statistics and Probability
Data Set II Identity Theft Complaints (page 767)
The data values show the number of complaints of identity theft for 50 selected cities.
2609 1202 2730 483 655
626 393 1268 279 663
817 1165 551 2654 592
128 189 424 585 78
1836 154 248 239 5888
574 75 226 28 205
176 372 84 229 15
148 117 22 211 31
77 41 200 35 30
88 20 84 465 136
2. Problem
Instructions:
Use the list of raw data given in Data Set II on page 797 regarding Identity Theft Complaints. Note: this is a sample of data values. Show all work for each problem.
1) Using the 50 Identity Theft Complaints, find the mean, median, mode, midrange, range, variance, and standard deviation. Be sure to use the Rounding Rules given in the text.
Rounding Rule: Mean
The mean should be rounded to one more decimal place than occurs in the raw data.
The mean, in most cases, is not an actual data value.
Rounding Rule for the Mean, Variance, and Standard Deviation for a Probability Distribution: The rounding rule for the mean, variance, and standard deviation for variables of a probability distribution is this: The mean, variance, and standard deviation should be rounded to one more decimal place than the outcome X. When fractions are used, they should be reduced to lowest terms.
2) Use Chebyshev's Rule to find the range for which 75% of the 50
data values will fall. (Give the minimum and maximum values of the
range.)
3) Using the list of 50 complaints, find the percent of all 50 data
values that fall between the minimum and maximum of the range that
you found on #2.
4) Find the z-score for the data value 585.
5) Find the percentile rank for the data value 585.
Turn in:
1) Sheet with your name on each page and all answers for #1-5. Include all work or an explanation for every answer (both work and answer will be graded). If you are using the STAT CALC on the TI-84 to find your calculations (directions on page 162), then write all steps that you did on the TI-84 to get the answers and write all results that you see on the calculator window screen. For #1, label your answers so I know which one is the mean, mode, etc.
First, we sort the 50 values in the ascending order ...
x (Sorted) | (x - mean)^2 | |
15 | 345626.41 | |
20 | 339772.41 | |
22 | 337444.81 | |
28 | 330510.01 | |
30 | 328214.41 | |
31 | 327069.61 | |
35 | 322510.41 | |
41 | 315731.61 | |
75 | 278678.41 | |
77 | 276570.81 | |
78 | 275520.01 | |
84 | 269257.21 | |
84 | 269257.21 | |
88 | 265122.01 | |
117 | 236098.81 | |
128 | 225530.01 | |
136 | 217995.61 | |
148 | 206934.01 | |
154 | 201511.21 | |
176 | 182243.61 | |
189 | 171313.21 | |
200 | 162328.41 | |
205 | 158324.41 | |
211 | 153585.61 | |
226 | 142053.61 | |
229 | 139801.21 | |
239 | 132423.21 | |
248 | 125954.01 | |
279 | 104911.21 | |
372 | 53314.81 | |
393 | 44058.01 | |
424 | 32005.21 | |
465 | 19016.41 | |
483 | 14376.01 | |
551 | 2693.61 | |
574 | 835.21 | |
585 | 320.41 | |
592 | 118.81 | |
626 | 533.61 | |
655 | 2714.41 | |
663 | 3612.01 | |
817 | 45838.81 | |
1165 | 315956.41 | |
1202 | 358920.81 | |
1268 | 442358.01 | |
1836 | 1520535.61 | |
2609 | 4024437.21 | |
2654 | 4207011.21 | |
2730 | 4524554.41 | |
5888 | 27932282.01 | |
Sums = | 30145 | 50387786.5 |
(1) Mean = sum of data/number of data = 30145/50 = 602.9
Median = middle value = (25th value + 26th value)/2 = (226 + 229)/2 = 227.5
Mode = most frequent value = 84
Range = max value - minimum value = 5888 - 15 = 5873
Midrange = (maximum value + minimum value)/2 = (15 + 5888)/2 = 2951.5
Variance = ∑ (x - mean)^2/(n - 1) = 50387786.5/(50 - 1) = 1028322
Standard deviation = √variance = 1014.06
(2) 75% = 0.75
0.75 = 1 - (1/k)^2
k = ±2
Lower limit = mean - 2 * std dev = 602.9 - 2 * 1014.06 = -1425.22 = 0
Upper limit = mean + 2 * std dev = 602.9 - 2 * 1014.06 = 2631.02
(3) Number of values between [0, 2631.02] = 47 (47/50 * 100 = 94%)
(4) z = (x - μ)/σ = (585 - 602.9)/1014.06 = -0.018
(5) Percentile rank = area to the left of z = -0.018, which is 0.4928 (49.28)