Mean Variance Observations Hypothesized Mean Difference df t Stat P(T<=t) one-tail t Critical one-tail P(T<=t) two-tail t Critical two-tail Ob. Decision rule: reject Ho if t > 2.898 Oc. Decision rule: reject Ho if t < -2.898 C. Store A 30.868 89.721 Oa. Decision rule: reject Ho if t > 2.567 or t < -2.567 Od. Decision rule: reject Ho if t > 2.567 Oe. 10 0 17 0.716 0.2418 2.567 0.4836 2.898 Decision rule: reject Ho if t > 2.898 or t < -2,898 Store B 28.232 54.934 12

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter2: Exponential, Logarithmic, And Trigonometric Functions
Section2.CR: Chapter 2 Review
Problem 111CR: Respiratory Rate Researchers have found that the 95 th percentile the value at which 95% of the data...
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Question
Mean
Variance
Observations
Hypothesized Mean Difference
df
t Stat
P(T<=t) one-tail
t Critical one-tail
P(T<=t) two-tail
t Critical two-tail
Ob. Decision rule: reject Ho if t > 2.898
Store A
30.868
89.721
Oc. Decision rule: reject Ho if t < -2.898
10
0
17
Oa.
a. Decision rule: reject Ho if t > 2.567 or t < -2.567
0.716
0.2418
2.567
0.4836
2.898
Od. Decision rule: reject Ho if t > 2.567
Oe. Decision rule: reject Ho if t > 2.898 or t < -2,898
Store B
28.232
54.934
12
Transcribed Image Text:Mean Variance Observations Hypothesized Mean Difference df t Stat P(T<=t) one-tail t Critical one-tail P(T<=t) two-tail t Critical two-tail Ob. Decision rule: reject Ho if t > 2.898 Store A 30.868 89.721 Oc. Decision rule: reject Ho if t < -2.898 10 0 17 Oa. a. Decision rule: reject Ho if t > 2.567 or t < -2.567 0.716 0.2418 2.567 0.4836 2.898 Od. Decision rule: reject Ho if t > 2.567 Oe. Decision rule: reject Ho if t > 2.898 or t < -2,898 Store B 28.232 54.934 12
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