Chapter 5.3 Name___________________________________ simple random sample (SRS) – sample of n people chosen in such a way that each person in the population has the same chance of being chosen and every set of n individuals has an equal chance to be in the sample actually selected. systematic sample – sample chosen by first numbering every individual in the population and then choosing every 5th or10th person, or every 23nd person, etc. stratified sample – sample chosen by first dividing the population into smaller homogeneous groups based on some characteristic (such as education, gender, age, etc) and then choosing the sample size from each of these groups to form the sample. quota sample – sample chosen by first dividing the population into small homogeneous groups based on some characteristic (such as gender, age, education, etc) and then choosing proportionally from each group to reflect the same characteristic in the population. probability sample – any sample which relies on random chance in some form to choose a sample. All of the above fall under this category. Convenience samples and voluntary response samples do not. We are going to use the 100 people listed in the Data Bank as our population. 1. SIMPLE RANDOM SAMPLE RANDOM NO. Use n = 5 Use the Table of Random Digits. Start at Line 125 and read across. Record the first five 2-digit numbers between ____ and _____.Then list the corresponding weights from the Data Bank. (If the same number appears a second time, discard it.) Finally, find the sample mean. WEIGHT #1 #2 #3 #4 #5 SAMPLE MEAN = Line 125: 9 6 7 4 6 1 2 1 4 9 3 7 8 2 3 7 1 8 6 8 1 8 4 4 2 3 5 1 1 9 6 2 1 0 3 3 9 2 4 4 2. SYSTEMATIC SAMPLE Use n = 5 TotalNumberofValues SampleSize The first value must be a random number between 01 and ______ (answer above). Use the Table of Random Digits, starting at Line 125; go across the row until you find the first 2-digit number between ____ and ____, inclusive. The random number would be _____. Start at this number in the table below to generate your list — find every ____th number. Then list the corresponding weights and find the sample mean. NUMBER WEIGHT #1 #2 #3 #4 #5 Sample Mean = Line 125: 9 6 7 4 6 1 2 1 4 9 3 7 8 2 3 7 1 8 6 8 1 8 4 4 2 3 5 1 1 9 6 2 1 0 3 3 9 2 4 4 3. STRATIFIED SAMPLE We can divide the data into ___ subgroups based on gender. There are 50 males and 50 females in the Data Bank. Since we want 6 values, we need to choose ____ values from each subgroup. Use the Table of Random Digits to select which males and females to use. Start with Line 125 and choose the first three 2-digit numbers between ____ and ____. These will be the males for our sample. (Note: We can count only males, so we cannot use the ID number for this. If our first random number is 23, then we must find the 23rd male in the group, not ID #23.) Continue in the table where you left off and find the next three 2-digit numbers between ___ and ____. These will be the females for our sample. Find corresponding weights and sample mean. Note: If the same 2-digit number appears a second time a 7subgroup, Line 125within : 96 4 6 1 2 1it 4should 9 3 7be8 2discarded. 3 7 1 8 6If8 it 1appears 8 4 4 2a second time in a difference subgroup, it can be used again. 4. STRATIFIED SAMPLE RANDOM NO. Use n = 6 Use n = 10 In our Data Bank, the 100 individuals are classified by marital status. 20% of the people are single, 40% are married, 20% are divorced and 20% are widowed. Stratified sampling says that our sample should reflect this, that 20% of our sample should be single, 40% married, etc. Male Female Sample Mean = 35119 62103 39244 SUBGROUP RANDOM NO. Single Married So we need to choose ___ people for single, ___ people for married, ___ people for divorced and ___ people for widowed. For the single people, we can use random numbers between 01 and 20 inclusive and choose the first two from the Random Digit Table. If we choose 07 for instance, then we need to find the 7th single person in the list (Person #38). Once we find the singles, continue on that line with the new assignment of digits looking for married. WEIGHT Divorced Widowed Sample Mean = For single, assign random digits 01 to 20 . For married, assign random digits 01 to _40. For divorced, assign random digits _01_ to 20__. For widowed, assign random digits _01_ to _20_. Locate corresponding values in Data Bank. Then find the sample mean. Line 125: 9 6 7 4 6 1 2 1 4 9 3 7 8 2 3 7 1 8 6 8 1 8 4 4 2 3 5 1 1 9 6 2 1 0 3 3 9 2 4 4 Line 126: 9 6 9 2 7 1 9 9 3 1 3 6 8 0 9 7 4 1 9 2 7 7 5 6 7 8 8 7 4 1 4 8 4 0 9 4 1 9 0 3 Line 127: 4 3 9 0 9 9 9 4 7 7 2 5 3 3 0 6 4 3 5 9 4 0 0 8 5 1 6 9 2 5 8 5 1 1 7 3 6 0 7 1 WEIGHT DATA BANK Chapter 5-3 ID# AGE SEX WT IQ SOD MS ID# AGE SEX WT IQ SOD MS ID# AGE SEX WT IQ SOD MS ID# WT IQ SOD MS 01 72 F 120 118 136 W 26 25 M 143 103 135 M 51 67 F 160 116 146 W 76 72 M 147 114 134 W 02 18 M 145 105 137 S 27 31 M 152 119 136 D 52 42 F 109 103 144 M 77 31 M 152 126 138 M 03 42 F 118 115 135 M 28 58 F 119 116 138 M 53 19 M 131 112 133 S 78 58 F 112 123 133 M 04 33 M 162 108 142 M 29 23 F 111 105 135 S 54 25 M 153 119 149 D 79 36 M 190 121 147 M 05 19 F 106 106 133 S 30 47 F 149 123 136 M 55 41 M 165 131 152 M 80 43 M 179 131 145 D 06 56 F 143 111 138 M 31 47 M 179 113 139 D 56 24 F 112 100 132 S 81 21 F 117 105 137 S 07 65 M 160 99 140 W 32 59 M 206 99 143 W 57 32 F 115 109 136 S 82 32 F 125 119 135 M 08 36 M 215 106 151 M 33 36 M 191 118 145 D 58 50 M 173 126 146 D 83 29 F 123 116 131 D 09 43 F 127 111 134 M 34 59 F 156 100 132 M 59 32 M 186 122 149 M 84 59 M 185 127 144 W 10 47 F 132 109 135 D 35 63 F 122 106 135 W 60 26 M 181 121 142 S 85 24 M 133 114 129 M 11 48 M 196 115 146 D 36 29 M 175 121 148 M 61 36 F 112 98 135 D 86 36 M 163 119 139 M 12 25 F 109 114 141 M 37 43 M 194 129 146 S 62 40 F 130 105 136 D 87 34 F 135 117 135 D 13 63 F 170 101 152 D 38 44 F 132 109 132 S 63 19 M 132 111 137 S 88 36 F 142 88 137 D 14 37 M 187 109 144 W 39 63 M 188 121 145 M 64 37 F 179 127 141 M 89 29 M 155 98 135 S 15 40 M 234 98 147 M 40 36 F 125 117 140 M 65 65 M 212 129 148 M 90 42 M 169 96 137 M 16 25 M 199 103 148 S 41 45 F 109 102 136 M 66 21 F 99 103 131 S 91 41 F 136 102 141 D 17 72 F 143 103 145 W 42 71 F 112 123 133 W 67 25 F 128 121 131 S 92 69 F 112 102 130 W 18 56 F 156 99 144 D 43 57 M 167 103 143 W 68 68 M 167 98 140 W 93 43 M 185 100 143 M 19 37 M 142 110 135 D 44 20 F 101 111 125 S 69 18 F 121 113 136 S 94 61 M 173 101 141 M 20 61 F 123 108 134 M 45 24 F 106 114 127 D 70 26 M 163 99 140 D 95 21 F 106 105 131 M 21 33 M 165 112 137 M 46 42 M 148 107 140 S 71 45 M 185 101 143 M 96 56 F 149 103 141 S 22 52 M 157 106 134 D 47 55 F 170 106 130 W 72 44 F 130 128 137 W 97 63 M 192 95 147 M 23 44 F 121 116 133 M 48 63 M 152 95 142 M 73 50 F 142 104 138 M 98 74 F 162 99 151 W 24 53 F 131 121 136 W 49 65 M 191 115 147 W 74 63 F 166 103 147 W 99 35 F 151 113 145 M 25 19 M 128 122 132 S 50 28 M 148 100 135 M 75 48 M 163 103 144 W 100 28 M 161 116 138 M AGE: in years. AGE SEX SEX: male (M) or female (F). WT: Weight in pounds. IQ: in standard IQ test score values. SOD: Sodium is given in milliequivalents per liter MS: Marital Status defined as: S = single, M = married, W = widowed, D = divorced.