Steve Galvin

University of South Florida
Teacher

Biography

I have 30 years experience teaching high school math.

Education

BS Physics
University of South Florida
BS Physics
University of South Florida

Educator Statistics

Numerade tutor for 4 years
402 Students Helped

Topics Covered

The Power of Algebraic Language: Unlocking Mathematical Potential
Mastering Equations and Inequalities: Your Guide to Mathematical Success
Understanding Complex Numbers: A Comprehensive Guide

Steve's Textbook Answer Videos

1

Steve's Quick Ask Videos

06:35
Intro Stats / AP Statistics

11. As part of a quality control program for a catalyst
manufacturing line, the raw materials (alumina and binder) from
each shipment are tested for purity. The process requires that the
average (mean) purity of the alumina be greater than 85%. If the
mean purity of alumina is greater than 85% the shipment is
accepted. A random sample from a recent shipment of alumina yielded
the following results (in percent). Assume the normality condition
is satisfied.
93.2 87.0 92.1 90.1 87.3 93.6
Note:
Construct a 99% confidence interval for the mean purity of
alumina.
Interpret your interval in context.
Using the Rejection Region approach, conduct a hypothesis test
at to determine whether the shipment should be accepted
as follows:
State the appropriate null and alternative hypotheses.
Compute the appropriate test statistic.
Draw a diagram showing the critical values, rejection region,
and test statistic.
State your conclusion in context

Steve Galvin
03:59
Intro Stats / AP Statistics

A data collecting firm bases their service charges on the
assumption that data collection can be done with a mean time of 15
minutes or less. If a greater mean collection time is
required, the client will be charged a premium rate. A random
sample of 35 collections gives a mean of 17 minutes and standard
deviation of 4 minutes. Based on the statistics, is the
premium rate justified. Use 90% confidence level and explain
your answer.

Steve Galvin
01:59
Algebra

A plane takes off and climbs steadily for 15 minutes until it
reaches 30,000 feet. It travels at that altitude for 2 hours until
it begins to descend to land, which takes 15 minutes at a constant
rate. The graph provided below shows the plane's flight.
Identify the interval of increase.
Then, identify that in the
context of the problem.

Steve Galvin
00:51
Intro Stats / AP Statistics

Let the regression equation be given by ŷ = 78 – (3/2)x, where x represents the number of hours spent partying and ŷ represents the predicted grade on the final exam. What is the appropriate interpretation of the slope in this scenario?

a) For every 2 hours spent partying, the grade is predicted to increase by 78 points.
b) For every 2 hours spent partying, the grade is predicted to decrease by 78 points.
c) For every 2 hours spent partying, the grade is predicted to decrease by 3 points.
d) For every 3/2 hours partying, the grade is predicted to remain the same virtually.
e) For every 3 hours partying, the grade is predicted to decrease by 78 points.

Steve Galvin
04:21
Intro Stats / AP Statistics

A study was conducted to determine the correlation between the number of absences, x, and the final grade, y, for students in a statistics class. The equation of the regression line is:
y = -3.62x + 102.

49a) What does the slope of the regression line tell us? Be very specific! What are the units of the slope? (6 points)
b) What does the y-intercept tell us? Be very specific! What are its units? (5 points)
c) What grade would you expect if you missed 3 classes? (3 points)
d) How many absences could you have and still pass the course if 75 is passing?

Steve Galvin
01:53
Intro Stats / AP Statistics

Suppose the blood sugar level of a randomly selected diabetes
patient on a new drug is normally distributed with a standard
deviation of 105. The drug company claims the mean blood sugar
level of a patient on their drug is 200. A sample of 50 patients on
the drug reveals a sample mean of 230 (the units are mg/dl but
that's not important so ignore it).
(6) Test the drug company's claim versus the alternative
hypothesis that the mean blood sugar of a patient on their drug is
greater than 200. Use a significance level of 1.1%

Steve Galvin
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