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. E Click on icon to view the data. 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 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 V 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 not Is or
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. E Click on icon to view the data. 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 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 V 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 not Is or
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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4,6,9-Hi Team I need help with this 3 short exercises. Thanks in advance.
Transcribed Image 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
Transcribed Image 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.)
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