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Chapter 9 Review Flashcards | StudBud
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Chapter 9 Review
Chapter 9 Review
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Statistical Inference
Flashcards
18 cards
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Practice quiz
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Questions
18
Answers
1
P-value
False
Blank
True
Blank
2
Which of the following will definitely make a confidence interval more narrow?
a larger z* value
A small confidence level
A larger confidence level
a different p-hat value
3
What is one way to increase confidence interval (wider) (assuming you used 95%)
Sample more people
have a smart friend calculate it for you
sample less people
use a 90% confidence
4
If the null hyp. is 20%, and the p-value is .03, should we believe the original claim?
Yes
No
what's a p-value?
I don't know
5
State the population for the following scenario
All people
All shoppers at this Walmart
the 400 shoppers selected
The number of people 30 yrs old or less
6
Which of the following does NOT affect statistical inference?
Too large of sample size
How you obtain the data
Using a sig level of 1% instead of 5%
too small of sample size
7
What is the Margin of Error?
.2034
.4120
.1043
.3077
8
What is a confidence interval estimating?
a probability
growth
the sample (p-hat value)
the unknown true population parameter
9
A number calculated from a sample is called
statistic
parameter
confidence interval
p-value
10
You obtained a p-value of .15, what conclusion can you make?
The sample size was too small
There's no evidence for either decision
Reject the null hypothesis
Don't reject the null hypothesis
11
Which of the following is a valid null hypothesis?
p ≠ .65
p > .65
p < .65
p = .65
12
In order to use statistical inference, what type of sampling technique HAS to be used?
Voluntary Response
Any type will do
Simple Random Sample
Stratified Sample
13
Why can't you use a confidence interval using Facebook Poll data?
The data is not from a simple random sample
Can't survey enough people
The data would be difficult to calculate
Can't use statistics using social media
14
True or False you can have more confidence in an interval if you are willing to be less precise
blank
True
blank
False
15
What is the null hypothesis?
Nothing
zero value
Represents the status quo, no effect
What we are trying to gather evidence in favor of
16
What does a small p-value mean? (less than 5%)
The result was obtained due to sampling variability
Reject the null hypothesis
There is no evidence to reject or not
Don't reject the null hypothesis
17
See picture
statistic
p-value
standard score
parameter
18
State the null and alternative hypothesis:
p = .459, p < .45
p = .459, p < .459
p = .459, p ≠ .459
p = .459, p > .459
