Refer to the accompanying data set and use the 30 screw lengths to construct a frequency distribution. Begin with a lower class limit of 0.470 in., and use a class width of 0.010 in. The screws were...


4,6,9-Hi Team I need help with this 3 short exercises. Thanks in advance.


Refer to the accompanying data set and use the 30 screw lengths to construct a frequency distribution. Begin with a lower class limit of 0.470 in., and use a class width of 0.010 in. The<br>screws were labeled as having a length of 1/2 in.<br>Click on icon to view the data.<br>- X<br>Data Table<br>Complete the frequency distribution below.<br>Length (in.)<br>0.470 -<br>Frequency<br>Screw Lengths (inches)<br>0.478 0.509 0.509 0.502 0.489 0.498 0.499 0.478 0.506 0.508<br>0.506 0.492 0.497 0.487 0.495 0.503 0.487 0.481 0.497 0.472<br>0.493 0.511 0.503 0.503 0.484 0.483 0.506 0.507 0.509 0.494<br>(Type integers or decimals rounded to the nearest thousand<br>Print<br>Done<br>2-<br>For a data set of weights (pounds) and highway fuel consumption amounts (mpg) of eight types of automobile, the linear correlation coefficient is found and the P-value is 0.014. Write<br>a statement that interprets the P-value and includes a conclusion about linear correlation.<br>The P-value indicates that the probability of a linear correlation coefficient that is at least as extreme is %, which is<br>so there<br>V sufficient evidence to conclude that there is<br>a linear correlation between weight and highway fuel consumption in automobiles.<br>(Type an integer or a decimal. Do not round.)<br>high or lou.<br>Is<br>Is not<br>oF<br>OODL<br>

Extracted text: Refer to the accompanying data set and use the 30 screw lengths to construct a frequency distribution. Begin with a lower class limit of 0.470 in., and use a class width of 0.010 in. The screws were labeled as having a length of 1/2 in. Click on icon to view the data. - X Data Table Complete the frequency distribution below. Length (in.) 0.470 - Frequency Screw Lengths (inches) 0.478 0.509 0.509 0.502 0.489 0.498 0.499 0.478 0.506 0.508 0.506 0.492 0.497 0.487 0.495 0.503 0.487 0.481 0.497 0.472 0.493 0.511 0.503 0.503 0.484 0.483 0.506 0.507 0.509 0.494 (Type integers or decimals rounded to the nearest thousand Print Done 2- For a data set of weights (pounds) and highway fuel consumption amounts (mpg) of eight types of automobile, the linear correlation coefficient is found and the P-value is 0.014. Write a statement that interprets the P-value and includes a conclusion about linear correlation. The P-value indicates that the probability of a linear correlation coefficient that is at least as extreme is %, which is so there V sufficient evidence to conclude that there is a linear correlation between weight and highway fuel consumption in automobiles. (Type an integer or a decimal. Do not round.) high or lou. Is Is not oF OODL
Use the following cell phone airport data speeds (Mbps) from a particular network. Find the percentile corresponding to the data speed 5.8 Mbps.<br>0.1<br>0.2<br>0.3<br>0.3<br>0.4<br>0.5<br>0.5<br>0.6<br>0.6<br>0.6 O<br>0.7<br>0.7<br>0.8<br>0.8<br>0.9<br>1.1<br>1.2<br>1.3<br>1.4<br>1.4<br>1.6<br>1.9<br>2.1<br>2.1<br>2.2<br>2.5<br>2.9<br>3.1<br>3.2<br>3.7<br>3.9<br>4.3<br>4.8<br>4.9<br>5.8<br>7.6<br>8.1<br>8.4<br>8.5<br>8.6<br>9.3<br>9.7<br>11.1<br>11.3<br>11.4<br>12.8<br>13.7<br>13.8<br>15.8<br>27.2<br>.....<br>Percentile of 5.8 =|<br>(Round to the nearest whole number as needed.)<br>

Extracted text: Use the following cell phone airport data speeds (Mbps) from a particular network. Find the percentile corresponding to the data speed 5.8 Mbps. 0.1 0.2 0.3 0.3 0.4 0.5 0.5 0.6 0.6 0.6 O 0.7 0.7 0.8 0.8 0.9 1.1 1.2 1.3 1.4 1.4 1.6 1.9 2.1 2.1 2.2 2.5 2.9 3.1 3.2 3.7 3.9 4.3 4.8 4.9 5.8 7.6 8.1 8.4 8.5 8.6 9.3 9.7 11.1 11.3 11.4 12.8 13.7 13.8 15.8 27.2 ..... Percentile of 5.8 =| (Round to the nearest whole number as needed.)
Jun 10, 2022
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