EXST 2201 EXAM QUESTIONS AND ANSWERS WITH COMPLETE SOLUTIONS VERIFIED LATEST UPDATE
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EXST 2201
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EXST 2201
EXST 2201 EXAM QUESTIONS AND ANSWERS WITH COMPLETE SOLUTIONS VERIFIED LATEST UPDATE
Click the two reasons that the method of hypothesis testing is needed.
1) (50%) To find out how reasonable a chosen value is the population mean.
2) (50%) To find out if the population mean is less than, or g...
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EXST 2201 EXAM QUESTIONS AND ANSWERS WITH
COMPLETE SOLUTIONS VERIFIED LATEST UPDATE
Click the two reasons that the method of hypothesis testing is needed.
1) (50%) To find out how reasonable a chosen value is the population mean.
2) (50%) To find out if the population mean is less than, or greater than, a chosen value.
In hypothesis testing, what does reasonableness mean?
How close a chosen value is to the population mean.
In hypothesis testing, what does less than, or greater than, mean?
The population mean could have a value of -∞ , or +∞
Please match the following inequalities, and equality, to their meaning in a
distribution.
1) Less than
-A one-tail to the left situation
2) Greater than
-A one-tail to the right situation
3) Not equal to
-A two-tail situation
Click the two assumptions needed for the method of hypothesis testing.
,(50%) The individuals were randomly selected.(50%) The sample average is normally
distributed
In hypothesis testing, where does the hypothesized value NOT come from?
From the results of the sample.
In hypothesis testing, how is close and far determined?
By converting the situation from the sample distribution into the z, or t, distribution.
Where does the value of a test statistic come from?
From converting the sample average into a z-score, or t-value.
Why is the method of hypothesis testing called an inferential method of
statistics?
Because it gives the best guess (infers) from the sample for the value of the population
mean.
How does the method of hypothesis testing make an inference (i.e. draw a
conclusion) about a population mean?
By seeing if the test statistic is closer to zero (0), or farther from zero, than the critical
value.
Click all choices that are steps in the General Method to solve problems in
statistics.
(25%) Step A: Abstract - Relevant information from the question.
(25%) Step 1: Theorize - Probability information from theory.
(25%) Step 2: Analyze - Sample information from the abstraction step.
(25%) Step 3: Infer - Population information from the analyze step.
,Click all choices that are steps in Step A: Abstract of the General Method to solve
problems in statistics.
(50%) Get descriptive statistics from the sample data values.
(50%) Write a set of two hypotheses about the researcher's question.
Click which choice is NOT a descriptive statistic.
to
What information does the null hypothesis express?
The currently believed value of the population mean.
What information does the alternative hypothesis express?
The researcher's believed value of the population mean
The null hypothesis always contains an equal sign.
True
Click all choices that are steps in Step 1: Theorize of the General Method to solve
problems in statistics.
(50%) Use the schematic curve to analyze the situation from a statistical point of view.
(50%) Find the appropriate critical value(s) for this situation.
Please match each situation below with the information that goes in the middle of
the schematic curve.
1) Find probability
The known value of the population mean
2) Find a confidence interval
The value of the sample average
, 3) Do a hypothesis test
The hypothesized value of the population mean
Please match each region below with the appropriate area under a schematic
normal curve.
1) The acceptance region
The body area of the schematic normal curve
2) The rejection region
One, or both, tail area(s) of the schematic normal curv
Click which choice below is NOT an appropriate rejection region.
A middle body area.
Please match each alternative hypothesis below with the appropriate statistical
situation.
A two-tail situation means the critical value is positive and negative. :
H1:μ≠0
A right-tail situation means the critical value is positive. :
H1:μ>0
A left-tail situation means the critical value is negative. :
H1:μ<0
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