The correlation coefficient ris a sample statistic. What does it tell us about the value of the population correlation coefficient p (Greek letter rho)? You do not know how to build the formal...


The correlation coefficient ris a sample statistic. What does it tell us about the value of the population correlation coefficient p (Greek letter rho)? You do not know how to build the formal structure of hypothesis tests of p yet. However, there is a quick way to determine<br>if the sample evidence based on p is strong enough to conclude that there is some population correlation between the variables. In other words, we can use the value of r to determine if p 0. We do this by comparing the value Irl to an entry in the correlation table. The<br>value of a in the table gives us the probability of concluding that p # 0 when, in fact, p = 0 and there is no population correlation. We have two choices for a: a = 0.05 or a = 0.01.<br>MY NOTES<br>ASK YOUR TEACHER<br>PRACTICE ANOTHER<br>Critical Values for Correlation Coeffident r<br>a = 0.05<br>a = 0.01<br>a = 0.05<br>a = 0.01<br>3<br>1.00<br>a = 0.05<br>a = 0.01<br>1.00<br>13<br>0.53<br>0.68<br>4<br>23<br>0.41<br>0.53<br>0.95<br>0.99<br>14<br>0.53<br>0.66<br>24<br>0.40<br>0.52<br>5.<br>0.88<br>0.96<br>15<br>0.51<br>0.64<br>25<br>0.40<br>6.<br>0.81<br>0.92<br>16<br>0.51<br>0.50<br>0.61<br>26<br>0.39<br>7.<br>0.75<br>0.87<br>0.50<br>17<br>0.48<br>0.61<br>27<br>0.71<br>0.38<br>0.49<br>0.83<br>18<br>0.47<br>0.59<br>28<br>0.37<br>0.48<br>0.67<br>0.80<br>19<br>0.46<br>0.58<br>29<br>0.37<br>0.47<br>10<br>0.63<br>0.76<br>20<br>0.44<br>0.56<br>30<br>0.36<br>0.46<br>11<br>0.60<br>0.73<br>21<br>0.43<br>0.55<br>12<br>0.58<br>0.71<br>22<br>0.42<br>0.54<br>(a) Look at the data below regarding the variables x = age of a Shetland pony and y<br>decimal places.)<br>weight of that pony. Is the value of Ir| large enough to conclude that weight and age of Shetland ponies are correlated? Use a = 0.05. (Round your answer for r to four<br>3.<br>12<br>24<br>16<br>60<br>95<br>140<br>182<br>172<br>A USE SALT<br>critical r<br>Conclusion<br>Reject the null hypothesis, there is sufficient evidence to show that age and weight of Shetland ponies are correlated.<br>O Reject the null hypothesis, there is insufficient evidence to show that age and weight of Shetland ponies are correlated.<br>O Fail to reject the null hypothesis, there is insufficient evidence to show that age and weight of Shetland ponies are correlated.<br>O Fail to reject the null hypothesis, there is sufficient evidence to show that age and weight of Shetland ponies are correlated.<br>(b) Look at the data below regarding the variables x = lowest barometric pressure as a cyclone approaches and y = maximum wind speed of the cyclone. Is the value of Ir| large enough to conclude that lowest barometric pressure and wind speed of a cyclone are<br>correlated? Use a = 0.01. (Round your answer for r to four decimal places.)<br>1004<br>975<br>992<br>935<br>982<br>930<br>40<br>100<br>65<br>145<br>75<br>149<br>critical r<br>Conclusion<br>O Reject the null hypothesis, there is sufficient evidence to show that lowest barometric pressure and maximum wind speed for cyclones are correlated.<br>Reject the null hypothesis, there is insufficient evidence to show that lowest barometric pressure and maximum wind speed for cyclones are correlated.<br>O Fail to reject the null hypothesis, there is insufficient evidence to show that lowest barometric pressure and maximum wind speed for cyclones are correlated.<br>O Fail to reject the null hypothesis, there is sufficient evidence to show that lowest barometric pressure and maximum wind speed for cyclones are correlated.<br>Need Help?<br>Watch It<br>Read It<br>

Extracted text: The correlation coefficient ris a sample statistic. What does it tell us about the value of the population correlation coefficient p (Greek letter rho)? You do not know how to build the formal structure of hypothesis tests of p yet. However, there is a quick way to determine if the sample evidence based on p is strong enough to conclude that there is some population correlation between the variables. In other words, we can use the value of r to determine if p 0. We do this by comparing the value Irl to an entry in the correlation table. The value of a in the table gives us the probability of concluding that p # 0 when, in fact, p = 0 and there is no population correlation. We have two choices for a: a = 0.05 or a = 0.01. MY NOTES ASK YOUR TEACHER PRACTICE ANOTHER Critical Values for Correlation Coeffident r a = 0.05 a = 0.01 a = 0.05 a = 0.01 3 1.00 a = 0.05 a = 0.01 1.00 13 0.53 0.68 4 23 0.41 0.53 0.95 0.99 14 0.53 0.66 24 0.40 0.52 5. 0.88 0.96 15 0.51 0.64 25 0.40 6. 0.81 0.92 16 0.51 0.50 0.61 26 0.39 7. 0.75 0.87 0.50 17 0.48 0.61 27 0.71 0.38 0.49 0.83 18 0.47 0.59 28 0.37 0.48 0.67 0.80 19 0.46 0.58 29 0.37 0.47 10 0.63 0.76 20 0.44 0.56 30 0.36 0.46 11 0.60 0.73 21 0.43 0.55 12 0.58 0.71 22 0.42 0.54 (a) Look at the data below regarding the variables x = age of a Shetland pony and y decimal places.) weight of that pony. Is the value of Ir| large enough to conclude that weight and age of Shetland ponies are correlated? Use a = 0.05. (Round your answer for r to four 3. 12 24 16 60 95 140 182 172 A USE SALT critical r Conclusion Reject the null hypothesis, there is sufficient evidence to show that age and weight of Shetland ponies are correlated. O Reject the null hypothesis, there is insufficient evidence to show that age and weight of Shetland ponies are correlated. O Fail to reject the null hypothesis, there is insufficient evidence to show that age and weight of Shetland ponies are correlated. O Fail to reject the null hypothesis, there is sufficient evidence to show that age and weight of Shetland ponies are correlated. (b) Look at the data below regarding the variables x = lowest barometric pressure as a cyclone approaches and y = maximum wind speed of the cyclone. Is the value of Ir| large enough to conclude that lowest barometric pressure and wind speed of a cyclone are correlated? Use a = 0.01. (Round your answer for r to four decimal places.) 1004 975 992 935 982 930 40 100 65 145 75 149 critical r Conclusion O Reject the null hypothesis, there is sufficient evidence to show that lowest barometric pressure and maximum wind speed for cyclones are correlated. Reject the null hypothesis, there is insufficient evidence to show that lowest barometric pressure and maximum wind speed for cyclones are correlated. O Fail to reject the null hypothesis, there is insufficient evidence to show that lowest barometric pressure and maximum wind speed for cyclones are correlated. O Fail to reject the null hypothesis, there is sufficient evidence to show that lowest barometric pressure and maximum wind speed for cyclones are correlated. Need Help? Watch It Read It
Jun 07, 2022
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