Empirical rule: 1 sd above and below the mean = 68% 2 sd above and below the mean = 95% 3 sd above and below the mean = 99.7 % Data Collected for Female Weight (kg) Shoe Sizes 1 65 2 53 3 54 4 79 5 40...


Please answer numbers 4 to 5.


Empirical rule: 1 sd above and below the mean = 68%<br>2 sd above and below the mean = 95%<br>3 sd above and below the mean = 99.7 %<br>Data Collected for Female Weight (kg)<br>Shoe Sizes<br>1<br>65<br>2<br>53<br>3<br>54<br>4<br>79<br>5<br>40<br>6<br>53<br>7<br>54<br>8<br>57<br>9<br>58<br>10<br>60<br>11<br>55.5<br>12<br>56<br>13<br>54<br>14<br>59<br>15<br>49<br>16<br>48<br>17<br>47<br>18<br>50<br>1. Plot a Bell Curve below<br>2. What is the data value associated with a z-score of -0.82?<br>3. What is the data value associated with a z-score of - 01?<br>4. What is the range of data values that would allow 99% of the fall within the mean?<br>5. Why does not 100% of the data always fall within +3 sd deviations of the mean<br>

Extracted text: Empirical rule: 1 sd above and below the mean = 68% 2 sd above and below the mean = 95% 3 sd above and below the mean = 99.7 % Data Collected for Female Weight (kg) Shoe Sizes 1 65 2 53 3 54 4 79 5 40 6 53 7 54 8 57 9 58 10 60 11 55.5 12 56 13 54 14 59 15 49 16 48 17 47 18 50 1. Plot a Bell Curve below 2. What is the data value associated with a z-score of -0.82? 3. What is the data value associated with a z-score of - 01? 4. What is the range of data values that would allow 99% of the fall within the mean? 5. Why does not 100% of the data always fall within +3 sd deviations of the mean

Jun 10, 2022
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