Question

1. In a testing experiment:

a. What is the difference between a hypothesis and a prediction?

b. How do you decide if the outcome of the experiment is/is not consistent with the prediction?

c. How do you make a judgment about the hypothesis? How do the assumptions you made in your method enter into making this judgment?

2. In an observational experiment:

a. What is an independent variable?

b. What is the dependent variable?

c. Give an example from your own field of study where you would have to identify independent and dependent variables.

d. If you are designing an observational experiment with multiple independent variables, how would you handle that?

Answer #1

Create an experiment that tests one of the predictions
below:
If plants receive fertilizer, then they will grow taller
than plants that receive no fertilizer.
Answer the following questions as you design your
experiment:
Which prediction did you choose?
What is your dependent variable?
What is your independent variable?
Name two controlled variables.
What is your experimental group?
What is your control group?

Take a moment to reflect on what you have learned in this module
about hypothesis testing in general and A/B testing in particular.
In what other scenarios or industries do you think this type of
analysis would be helpful? What precautions should you take when
designing such tests? How can you ensure that your results are
representative of your target population?

Generate your own hypothesis about differences in how and what
males and females order in restaurants. How could you set up an
experiment to test your hypothesis? Be sure to include independent
and dependent variables.

do
you want to test the hypothesis that coffee consumption increases
hair loss. Describe how you would perform the experiment to test
out the hypothesis. In your description identify the following:
control, independent variable, and dependent variable.

A scientist testing the effects of a chemical on lettuce yield,
sprays a field with the chemical. A second field does not receive
the chemical. The amount of lettuce harvested from each field is
measured. Bottom of Form
What is the hypothesis?
What is the independent variable?
What is the dependent variable?
What is the control group?
What is the experimental group?
What are the possible standardized variables? (Hint: This is not
expressly mentioned in the description so you will...

What would be the best statistical analysis/test to measure the
prediction of one independent variable on two dependent variables?
My IV is leadership behaviors while my DVs are the performance and
productivity of workers. The research method is quantitative.

Choose a question/problem you are interested in, come up with a
testable hypothesis, and design a simple experiment to help answer
this question. In your design, address the following:
1. What is your hypothesis? People infected
with COVID 19 recover at a faster rate when given an injection of
remdesivir than those that receive no injection or
hydroxychloroquine.
2. Identify the following:
a. Independent variable – what variable are you
manipulating
b. Dependent variables – what are you
measuring; what...

Design an experiment that verifies Ohm's Law. In other words,
describe (in a sentence or two) how you would conduct such an
experiment using the fixed resistor and variable voltage source.
Identify your dependent and independent variables and sketch a plot
with the independent variable on the x-axis and the dependent
variable on the y-axis. Include axes labels and the slope term of
the sketched plot and relate this to Ohm's Law.

As we have seen in class, hypothesis testing, and confidence
intervals are the most common inferential tools used in statistics.
Imagine that you have been tasked with designing an experiment to
determine reliably if a patient should be diagnosed with diabetes
based on their blood test results. Create a short outline of your
experiment, including all the following:
A detailed discussion of your experimental design.
Detailed experimental design should include the type of experiment,
how you chose your sample size,...

Applying Simple Linear Regression to Your favorite Data (Please
confirm with the instructor the dataset you find before you work on
this question) Many dependent variables in business serve as the
subjects of regression modeling efforts. We list such variables
here: Rate of return of a stock Annual unemployment rate Grade
point average of an accounting student Gross domestic product of a
country Choose one of these dependent variables, or choose some
other dependent variable, for which you want to...

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