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Hypothesis testing from Dada Flashcards | StudBud
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Hypothesis testing from Dada
Hypothesis testing from Dada
15 terms
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StudBud Administration
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#math #statistics #hypothesis
Flashcards
15 cards
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Questions
15
Answers
1
If we are testing the effect of a treatment on one sample of people, we use
2 proportion z test
one sample t test
chi square test
2 sample z test for difference between sample means
2
When was the cover picture made?
More than 5 years ago
Yesterday
a year ago
5 years ago
3
Test statistics of test of goodness of fit with df = 10 was 6. Do we reject null on 5% SL?
Yes
Cannot tell
No
4
Test statistics of test of goodness of fit with df = 10 was 6. How many variables do we have?
1
6
9
10
5
A Type I error occurs when we
incorrectly reject a false null hypothesis.
incorrectly reject a true null hypothesis.
correctly reject a false null hypothesis.
correctly fail to reject a false null hypothesis.
6
When pvalue = 1% and significance level is 5% we
reject alternative
reject null in favor of alternative
accept null
change alternative
7
The alternative hypothesis states that there is no difference/no effect.
True
False
8
How many tests using X squared can we make?
3
2
1
none
9
Test statistics of test of goodness of fit with df = 10 was 6. How many different values?
1
10
9
11
10
You have measured number of calories in the lunch of all Leaf students. What test can you use?
1 sample t test
1 sample z test
2 sample z test
1 proportion z test
11
Statistical power tells us our level of Type I error
False
True
12
What is the probability that random number from N(0,4) will be greater than 3?
3.5%
6.6%
2%
10%
13
What assumptions do we need to check when testing for population proportion?
random, independent, normal
independent, disjoint, random
regular, normal
random, independent
14
Statistical power is the probability of
rejecting the null when it is false.
rejecting the null when it is true.
making a Type II error.
making a Type I error.
15
Which of the following is a null hypothesis
the sample mean is equal to 5
sample proportion is smaller than one third
population proportion is 40%
the population mean is greater than 50%
