Elementary Statistics: A Step By Step Approach
10th Edition
ISBN: 9781259755330
Author: Allan G. Bluman
Publisher: McGraw-Hill Education
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Chapter 13.4, Problem 9E
To determine
To test: The claim that the prices for the human doses are significantly greater than the prices for the animal doses.
If the null hypothesis is rejected, why animal doses might cost less than human doses.
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A researcher believes that the so-called “sugar high” is not real. He gathered 30 adolescents and recorded their activity level in the scale of 0 – 100 (0 = not active and 100 = super active). First, he recorded participants’ activity level before they consumed candy. After recording their pre-sugar activity level, the researcher gave out 5 Snickers bars to participants. Then, he recorded their post-sugar activity level. The average difference between post-sugar and pre-sugar activity level is 50 (i.e., the activity levels are higher after sugar than prior to it) with a standard deviation of 10.
A). What is the type of test you will use? (z-test, single-sample t-test, paired-samples t-test, or independent samples t-test) and why (what information provided in the problem)B). What are the hypotheses (Be Specific)
A researcher believes that the so-called “sugar high” is not real. He gathered 30 adolescents and recorded their activity level in the scale of 0 – 100 (0 = not active and 100 = super active). First, he recorded participants’ activity level before they consumed candy. After recording their pre-sugar activity level, the researcher gave out 5 Snickers bars to participants. Then, he recorded their post-sugar activity level. The average difference between post-sugar and pre-sugar activity level is 50 (i.e., the activity levels are higher after sugar than prior to it) with a standard deviation of 10.
A). Complete test statistic and critical values
B). Conclusion
man loves, as everyone should, to collect and analyze statistical information.
He wishes to find a relationship between how many hours students study and how they do on their statistics tests. He takes a random sample of 16 students at Ideal U., asks how many hours they studied for a university-wide stat test and how they did on the test, enters the data into a computer for analysis and presents the results below.
ANALYSIS OF HOURS AND GRADES (n = 16):
Descriptive Statistics:
HOURS GRADES
Mean: 4.2 75.8
Mode: 5.0 79.0
St. Dev: 2.3 10.1
Quartiles:
Q0 2.0 34.0
Q1 3.2 53.7
Q2 4.7 78.5
Q3 6.3 86.9
Q4 9.0 97.0
Regression Analysis:
Reg. Eq. is: GRADE = 16.9 + 9.025*HOURS
Rsquared = .985 std error = 0.027 F = 8.52 p = .018
What is the median number of hours studied?
a.
2.3
b.
4.7
c.
4.5
d.
4.2
e.
5.5
f.
5
g.
cannot be determined
Chapter 13 Solutions
Elementary Statistics: A Step By Step Approach
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