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AP Stat Unit 5
What is the last step of a statistical inference?
what is n?
AP Stat Unit 5
30 terms
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Vassili Prokopenko Final Project
Flashcards
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Questions
30
Answers
1
what is n?
population size
population proportion
sample size
2
What is the last step of a statistical inference?
Naming the test
Stating the conclusion
Calculating the probability
Checking assumptions
3
The alternate hypothesis is one-sided if it states that the parameter is __________ the null value.
greater than
less than
different from
greater than or less than
4
For 95% of random samples, p̂ will be no more than ___ standard deviations away from p.
1
2
1.5
3
5
Confidence intervals aren't naturally two-sided
False
True
6
The more serious the situation the more likely you would want a smaller alpha.
False
True
7
The margin of error illustrates the tension between _____ and _____
certainty and precision
standard deviation and precision
precision and range
true proportion and certainty
8
Which type of error ( I or II ) is worse?
Type I
Neither
Depends
Type II
9
What is the random assumption for a sampling distribution for proportions?
The samples must have been selected randomly
We need to have a large enough sample size
The samples must be independent of each other
10
What is a sample distribution?
A display of actual data collected in a sample
A normal distribution
A display of multiple statistics from many samples
A t distribution
11
The independent groups assumption checks that both samples are __________
dependent of each other
representative of population
independent of each other
randomly conducted
12
What is a confidence interval for a one sample proportion called?
two-proportion z-interval
one-proportion z-interval
one-proportion t-interval
one-sample z-interval
13
z-scores are used for what?
Normal distributions
Binomial distributions
Poisson distributions
Bernoulli distributions
14
How to decrease both types of error?
Decrease sample size
decrease alpha
Increase sample size
delete sample size
15
When comparing two treatments using a randomized experiment what is the primary goal?
To show one treatment causes no side effects
To show both treatments produce same results
To check treatment costs
To check if there's a difference in treatment effect
16
Does a big P-value prove the null hypothesis is true?
No
Maybe
Yes
17
If the P-Value is greater than the significance level, we _____ the null hypothesis.
Accept
Reject
Fail to Reject
Reject Reject
18
A sample of 90 is less than 10% of the population, this means that the samples meets the _____ assumption.
Categorical Data
Independence
Random
Sample Size
19
How can you become more confident that the interval contains the true proportion?
By decreasing precision
By decreasing the confidence interval
By increasing precision
By increasing the confidence interval
20
When checking the sample size assumption for proportions what proportion should you check for successes and failures?
population proportion
population median
sample median
sample proportion
21
significance level is denoted by what?
A
Θ
o
α
22
statistic
±
(critical value)(______)
statistical deviation
standard error of all samples
standard error of statistic
statistic
23
What is the power of the test?
alpha - 1
alpha - beta
beta + 1
1 - beta
24
The probability of a type II error is called theta
False
True
25
Type I Error: The null hypothesis is true, but we mistakenly reject it
False
True
26
How would you want proportions to be distributed about the center?
Not normal
skewed left
Roughly normal
skewed right
27
Why are samples different?
They all have the true proportion/mean of the population
Each sample is unique and has sample variability
No, they are all the same
They want to be different
28
Don't make your claim the null hypothesis.
True
False
29
What is the empirical rule?
69-95-98.7
68-95-99.7
68-95-99
69-95-99.9
30
The difference between the sample proportion and the assumed population proportion in the null hypothesis is called the:
Degree of precision
Effect Size
Magnitude of similarity
Magnitude of Earthquakes
