Do people walk faster in the airport when they are departing (getting on a plane) or do they walk faster when they are arriving (getting off a plane)? A reputable researcher measured the walking speed of random travelers in two International Airports. His findings are summarized in the table. Complete parts (a)-(c) below. Click the icon to view the findings. (a) Is this an observational study or a designed experiment? Why? A. This is an observational study since the researcher did not influence the data. OB. This is a designed experiment since the researcher did not influence the data. OC. This is a designed experiment since the researcher influenced the data. OD. This is an observational study since the researcher influenced the data. (b) Explain why it is reasonable to use Welch's t-test. A. The samples are random, large and independent. OB. The populations are normally distributed. OC. The samples are random, large and dependent. OD. The samples are random, small and independent. XA. Ho: H₁ = ¹₂ H₁: Hy

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Do people walk faster in the airport when they are departing (getting on a plane) or do they walk faster when they are arriving (getting off a plane)? A reputable researcher measured the walking speed of
random travelers in two International Airports. His findings are summarized in the table. Complete parts (a)-(c) below.
Click the icon to view the findings.
(a) Is this an observational study or a designed experiment? Why?
A. This is an observational study since the researcher did not influence the data.
B.
This is a designed experiment since the researcher did not influence the data.
O C.
This is a designed experiment since the researcher influenced the data.
O D. This is an observational study since the researcher influenced the data.
(b) Explain why it is reasonable to use Welch's t-test.
A. The samples are random, large and independent.
OB. The populations are normally distributed.
C. The samples are random, large and dependent.
The samples are random, small and independent.
D.
A. Ho: H₁ = H₂
H₁: H₁ H₂
C. Ho: H₁ <H₂
H₁: H₁ H₂
Determine the P-value for this hypothesis test.
Walking Speed
Direction of Travel
Mean speed
(feet per minute)
Standard
deviation (feet
per minute)
Sample size
P-value = (Round to three decimal places as needed.)
OB. Ho: H₁ H₂
H₁: H₁ H₂
Print
D. Ho: H₁ = H2₂
H₁: H₁ H₂
Departure
251
51
35
(c) Do individuals walk at different speeds depending on whether they are departing or arriving at the α = 0.1 level of significance? Let μ₁ represent the mean speed of people departing and μ₂ represent the
mean speed of people arriving.
State the null and alternative hypothesis.
Arrival
269
Done
35
35
X
Transcribed Image Text:Do people walk faster in the airport when they are departing (getting on a plane) or do they walk faster when they are arriving (getting off a plane)? A reputable researcher measured the walking speed of random travelers in two International Airports. His findings are summarized in the table. Complete parts (a)-(c) below. Click the icon to view the findings. (a) Is this an observational study or a designed experiment? Why? A. This is an observational study since the researcher did not influence the data. B. This is a designed experiment since the researcher did not influence the data. O C. This is a designed experiment since the researcher influenced the data. O D. This is an observational study since the researcher influenced the data. (b) Explain why it is reasonable to use Welch's t-test. A. The samples are random, large and independent. OB. The populations are normally distributed. C. The samples are random, large and dependent. The samples are random, small and independent. D. A. Ho: H₁ = H₂ H₁: H₁ H₂ C. Ho: H₁ <H₂ H₁: H₁ H₂ Determine the P-value for this hypothesis test. Walking Speed Direction of Travel Mean speed (feet per minute) Standard deviation (feet per minute) Sample size P-value = (Round to three decimal places as needed.) OB. Ho: H₁ H₂ H₁: H₁ H₂ Print D. Ho: H₁ = H2₂ H₁: H₁ H₂ Departure 251 51 35 (c) Do individuals walk at different speeds depending on whether they are departing or arriving at the α = 0.1 level of significance? Let μ₁ represent the mean speed of people departing and μ₂ represent the mean speed of people arriving. State the null and alternative hypothesis. Arrival 269 Done 35 35 X
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