(a) Write in words the null and research hypotheses.(b) Rank the data into one column, and then determine the sum of ranks for yield signs (group 1) and stop signs (group 2) using the procedure for a Mann-Whitney test. Carbon monoxide (CO) concentrations are sampled at 20 intersections in heavy-trafficareas of a city. All intersections have approximately equal daily traffic. Ten of theintersections are controlled by yield signs, and ten are controlled by stop signs. Theconcentrations of CO (in parts per million) are given in the table below.Because the stop signs cause more cars to travel at lower speeds, encourage periods ofengine idling, and create more acceleration-deceleration phases, it is hypothesized thatintersections with stop signs will have higher CO concentrations. Is this hypothesissupported at a = 0.05? [Adapted from Elementary Statistics for Geographers, Burt, Barber,and Rigby, 2009]Carbon monoxide concentration, ppmYield SignsStop Signs10311516211728221427131158122918242030

Mann Whitney U test : The distinction between the 2 rank totals is mirrored within the Mann-Whitney…

(a) Write in words the null and research hypotheses. (b) Rank the data into one column, and then determine the sum of ranks for yield signs (group 1) and stop signs (group 2) using the procedure for a Mann-Whitney test

(a) Write in words the null and research hypotheses. (b) Rank the data into one column, and then determine the sum of ranks for yield signs (group 1) and stop signs (group 2) using the procedure for a Mann-Whitney test

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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Question

(a) Write in words the null and research hypotheses.

(b) Rank the data into one column, and then determine the sum of ranks for yield signs (group 1) and stop signs (group 2) using the procedure for a Mann-Whitney test.

Carbon monoxide (CO) concentrations are sampled at 20 intersections in heavy-traffic
areas of a city. All intersections have approximately equal daily traffic. Ten of the
intersections are controlled by yield signs, and ten are controlled by stop signs. The
concentrations of CO (in parts per million) are given in the table below.
Because the stop signs cause more cars to travel at lower speeds, encourage periods of
engine idling, and create more acceleration-deceleration phases, it is hypothesized that
intersections with stop signs will have higher CO concentrations. Is this hypothesis
supported at a = 0.05? [Adapted from Elementary Statistics for Geographers, Burt, Barber,
and Rigby, 2009]
Carbon monoxide concentration, ppm
Yield Signs
Stop Signs
10
31
15
16
21
17
28
22
14
27
13
11
58
12
29
18
24
20
30

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