Question

1. "What is wrong with the following argument? The relationship between the number of hours you spend studying is directly related to how well you do on school tests. Therefore, if you do not do well on a test, it means that you did not study long enough."

2. Rank the following correlation coefficients in order of their strength from strongest to weakest. .21 ?.67 .53 ?.01 .78

Answer #1

1. "What is wrong with the following argument? The relationship between the number of hours you spend studying is directly related to how well you do on school tests. Therefore, if you do not do well on a test, it means that you did not study long enough."

Ans: No

A **correlation between** variables, however, does
not automatically mean that the change in one variable is the cause
of the change **in the** values of the other variable.
**Causation** indicates that one event is the result
of the occurrence of the other event; i.e. there is a
**causal relationship between** the two events.

2. Rank the following correlation coefficients in order of their strength from strongest to weakest. .21 ?.67 .53 ?.01 .78

Ans: Strongest to weakest:

0.78

0.67

0.53

0.21

0.01

1. r = -.85 and p<.05 between employment and GPA.
What would you conclude from these results?
a. There is a strong negative and statistically significant
correlation between employment and GPA among college students. This
means that students who work more tend to have lower GPA and vice
versa, to small extent.
b. There is a moderate negative and statistically significant
correlation between employment and GPA among college students. This
means that students who work more tend to have higher...

I had a discussion question that follows:
What is wrong with the following argument? Note the argument
supposedly shows that any symmetric and transitive relation R on A
must also be reflexive.
Let R be a relation in A × A that is symmetric and transitive.
Using symmetry, if (x,y) ∈ R then (y,x) ∈ R. Hence, both (x,y) and
(y,x) are in R. Since (x,y) and (y,x) ∈ R, by transitivity, we have
(x,x) ∈ R. Therefore, R is...

1. A researcher conducts a survey to determine the relationship
between aptitude for mathematics and musical ability. She finds a
perfect relationship. High levels of mathematics aptitude are
associated with low levels of musical ability. Given this
information, what is the value of the correlation coefficient for
the above study? ______________
2. You obtain a score of 80 on a test. If the test is graded on
a ‘curve’ (based on how you did in comparison with the class as...

1. You are trying to see if there is a
relationship between height and weight. Write down the following
data, then by using a software program (e.g., Excel and SPSS), find
the correlation between the following data:
Height: 5' 11", 6' 2", 4' 3", 5' 5",
6' 6", 5' 2", 5' 9"
Weight: 175, 190, 102, 150, 210, 130,
160
a. Using the above data, find the
regression equation using weight as the dependent variable and
height as the independent...

1. For the following experiment/question, pick the most
appropriate statistical test. You have the following statistical
tests as choices: some may be used more than once, others not at
all. Assume homogeneity of variance (where applicable) and the
validity of parametric tests (where applicable), unless something
is directly stated (e.g., “the data are not at all normal”) or
otherwise indicated (viz., by the inspection of the data) which
would indicate a strong and obvious violation of an assumption.
This means...

2. For the following experiment/question, pick the most
appropriate statistical test. You have the following statistical
tests as choices: some may be used more than once, others not at
all. Assume homogeneity of variance (where applicable) and the
validity of parametric tests (where applicable), unless something
is directly stated (e.g., “the data are not at all normal”) or
otherwise indicated (viz., by the inspection of the data) which
would indicate a strong and obvious violation of an assumption.
This means...

For the following experiment/question, pick the most appropriate
statistical test. You have the following statistical tests as
choices: some may be used more than once, others not at
all. Assume homogeneity of variance (where
applicable) and the validity of parametric tests (where
applicable), unless something is directly stated (e.g., “the data
are not at all normal”) or otherwise indicated (viz., by the
inspection of the data) which would indicate a strong and obvious
violation of an assumption. This means you must...

1. For a pair of sample x- and y-values, what is the difference
between the observed value of y and the predicted value of y? a) An
outlier b) The explanatory variable c) A residual d) The response
variable
2. Which of the following statements is false:
a) The correlation coefficient is unitless. b) A correlation
coefficient of 0.62 suggests a stronger correlation than a
correlation coefficient of -0.82. c) The correlation coefficient,
r, is always between -1 and 1....

1.) You will work with 0.10 M acetic acid and 17 M acetic acid
in this experiment. What is the relationship between concentration
and ionization? Explain the reason for this relationship
2.) Explain hydrolysis, i.e, what types of molecules undergo
hydrolysis (be specific) and show equations for reactions of acid,
base, and salt hydrolysis not used as examples in the introduction
to this experiment
3.) In Part C: Hydrolysis of Salts, you will calibrate the pH
probe prior to testing...

Write a Python 3 program called “parse.py” using the
template for a Python program that we covered in this module.
Note: Use this mod7.txt input file.
Name your output file “output.txt”.
Build your program using a main function and at least
one other function.
Give your input and output file names as command line
arguments.
Your program will read the input file, and will output
the following information to the output file as well as printing it
to the screen:...

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