The weights (in pounds) of 6 vehicles and the variability of their braking distances (in feet) when stopping on a dry surface are shown in the table. Can you conclude that there is a significant linear correlation between vehicle weight and variability in braking distance on a dry surface? Use a= 0.01. Weight, x Variability in braking distance, y 5920 5340 6500 5100 5850 4800 1.79 1.93 1.91 1.64 1.69 1.50 Click here to view a table of critical values for Student's t-distribution. ..... Setup tne nypotnesis TOr tne test. Ho: p Ha: p 2 Identify the critical value(s). Select the correct choice below and fill in any answer boxes within your choice. (Round to three decimal places as needed.) A. The critical values are - to = and to = O B. The critical value is 0.01 Calculate the test statistic. t= 0.001 (Round three decimal places as needed.) What is your conclusion? is a significant linear correlation between vehicle weight and variability There is not enough evidence at the 1% level of significance to conclude that there in braking distance on a dry surface.

The weights (in pounds) of 6 vehicles and the variability of their braking distances (in feet) when stopping on a dry surface are shown in the table. Can you conclude that there is a significant linear correlation between vehicle weight and variability in braking distance on a dry surface? Use a= 0.01. Weight, x Variability in braking distance, y 5920 5340 6500 5100 5850 4800 1.79 1.93 1.91 1.64 1.69 1.50 Click here to view a table of critical values for Student's t-distribution. ..... Setup tne nypotnesis TOr tne test. Ho: p Ha: p 2 Identify the critical value(s). Select the correct choice below and fill in any answer boxes within your choice. (Round to three decimal places as needed.) A. The critical values are - to = and to = O B. The critical value is 0.01 Calculate the test statistic. t= 0.001 (Round three decimal places as needed.) What is your conclusion? is a significant linear correlation between vehicle weight and variability There is not enough evidence at the 1% level of significance to conclude that there in braking distance on a dry surface.

Name: Can you please check my work The weights (in pounds) of 6 vehicles and
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Description: Can you please check my work The weights (in pounds) of 6 vehicles and the variability of their braking distances (in feet) when stopping on a dry surface are shown in the table. Can you concludethat there is a significant linear correlation between

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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Concept explainers

Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.

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Question

Can you please check my work

The weights (in pounds) of 6 vehicles and the variability of their braking distances (in feet) when stopping on a dry surface are shown in the table. Can you conclude
that there is a significant linear correlation between vehicle weight and variability in braking distance on a dry surface? Use a = 0.01.
Weight, x
Variability in
braking distance, y
5920
5340
6500
5100
5850
4800
1.79
1.93
1.91
1.64
1.69
1.50
Click here to view a table of critical values for Student's t-distribution.
Setup the nypotnesis for tne test.
Ho: p
< 0
Ha: P 2 0
Identify the critical value(s). Select the correct choice below and fill in any answer boxes within your choice.
(Round to three decimal places as needed.)
O A. The critical values are - to =
and to =
%3D
B. The critical value is 0.01
Calculate the test statistic.
t = 0.001 (Round to three decimal places as needed.)
What is your conclusion?
is
a significant linear correlation between vehicle weight and variability
There is not enough evidence at the 1% level of significance to conclude that there
in braking distance on a dry surface.

Data Table
Level of
confidence, c
One tail, a
0.50
0.80
0.90
0.95
0.98
0.99
0.25
0.10
0.05
0.025
0.01
d.f.
Two tails, a
0.50
0.005
0.20
0.10
0.05
0.02
6.314 12.706 31.821 63.657
1
0.01
1.000
3.078
0.816
1.886
2.920
4.303
6.965
9.925
3
0.765
1.638
2.353
3.182
4.541
5.841
4
0.741
1.533
2.132
2.776
3.747
4.604
0.727
1.476
2.015
2.571
3.365
4.032
0.718
1.440
1.943
2.447
3.143
3.707
7
0.711
1.415
1.895
2.365
2.998
3.499
8
0.706
1.397
1.860
2.306
2.896
3.355
0.703
1.383
1.833
2.262
2.821
3.250
10
0.700
1.372
1.812
2.228
2.764
3.169
11
0.697
1.363
1.796
2.201
2.718
3.106
12
0.695
1.356
1.782
2.179
2.681
3.055
13
0.694
1.350
1.771
2.160
2.650
3.012
14
0.692
1.345
1.761
2.145
2.624
2.977
15
0.691
1.341
1.753
2.131
2.602
2.947
16
0.690
1.337
1.746
2.120
2.583
2.921
17
0.689
1.333
1.740
2.110
2.567
2.898
18
0.688
1.330
1.734
2.101
2.552
2.878
19
0.688
1.328
1.729
2.093
2.539
2.861
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