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Quiz! for formative assessment
Quiz! for formative assessment
26 terms
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StudBud Administration
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Let this quiz inspire your own quiz for formative assessment.
Flashcards
26 cards
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Questions
26
Answers
1
Everyone click on the blue diamond answer
Plausible answer
Silly answer
Incorrect answer
Correct answer
2
Karl obtained the student directory and shows every fourth name. What kind of sampling did he use?
Unbiased sampling
Random sampling
Systematic Sampling
3
Who derived the function rule
Sir Francis Galton
Carl Friedrich Gauss
Abraham de Moivre
4
Why is the use of random sampling and random assignment important?
All inferential statistics assume either random assignment or sampling
They insure that a sample resembles the population
They make descriptive statistics more accurate
5
Which is an example of a subjective-personalistic view of probability
Rolled a four 3/5 times, then rolled a four 300/500 times
Probability of rolling a 4 on a fair die
I think I will pass this exam
6
Which is an example of an empirical relative-frequency view of probability
Probability of rolling a 4 on a fair die
Rolled a four 3/5 times, then rolled a four 300/500 times
I think I will pass this exam
7
Question 1
25/50
10/50
15/25
22/50
8
Which is an example of a classical view of probability
I think I will pass this exam
Probability of rolling a 4 on a fair die
Plausible answer
9
According to the classical view of probability, prob of getting heads on the 201st flip. H = 120, T = 80 after 200
120/200
1/2
4/10
10
Which of the following gives researchers confidence in using random samples to learn about populations
mean value theorem
law of large numbers
central limit theorem
11
Question 3
10/25
10/50
22/50
10/22
12
Which of the following is an example of a compound event? (Multiple correct answers)
Observing an ace of spades when drawing from a deck of cards
Observing an odd number on the role of a die
Observing a jack from a deck of cards
Observing a tail on the toss of a coin
13
Discuss the proofs with your neighbor. Then select which one we need to go over some more
Oh hush Zach, we got these. Next question!
Show that for z-scores, the mean = 0, standard deviation = 1
Using the definition of mutuall exclusive and statistical independence...
Show that the sum of squared z-scores is equal to the sample size n
14
Question 4
10/22
15/28
10/50
10/25
15
What is the name of the rule that tells how to calculate a population parameter using info from a sample
point estimate
function rule
estimator
16
Calculate the following: 1- p(Fly) 2- p(Male) 3- Male|Fly 4- Fly|Male 5-Male and wanted to fly
Well go through answers next
So just work on the problem first
17
Question 5
(15/28)(10/50)
(10/50)(22/50)
(10/22)(10/50)
15/50
18
Question 2
28/50
22/50
10/22
12/22
19
Which of the following is true about a particular value that has a percentile rank of 30
30% of sample above
70% of sample below
70% of sample above
20
What type of sampling allows for each element in the population to only be chosen once
Sampling with replacement
Random sampling
Sampling without replacement
21
Please attempt this problem, work with a neighbor. This is similar to a question from a previous exam no pictures please
Think about the intersection equation
Click this answer to be correct :)
We'll just go over answers to each part in a minute
22
What type of random variable can assume a countability infinite number of values
Continuous
Limited
Discrete
23
A trial can have 2 outcomes, "success" is constant, each trial is independent of every other trial's outcome
Bernoulli trial
Binomial trial
Dual outcome trial
24
The distribution of sample means from a population has which of the following properties
the mean is equal to the pop mean / the sqrt of the sample size
the mean is equal to the pop mean * the sqrt of the sample size
the mean is equal to the population mean
25
For a given event
A
, what is the term for
A NOT occurring?
Complement of A
Negation of A
Not A
Exlcusion of A
26
The term p(A U B) refers to which of the following?
The probability that neither event A nor B occur
The probability of the intersection of events A and B
The probability of the union of events A and B
The probability that both A and B occur
