In the context of the election scenario, what does a Bernoulli Distribution represent?

Understanding Bernoulli Distribution and Sampling

Interactive Video
•
Mathematics, Social Studies
•
10th - 12th Grade
•
Hard

Amelia Wright
FREE Resource
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10 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
A distribution with no outcomes
A distribution with exactly two possible outcomes
A distribution with more than two outcomes
A distribution with continuous outcomes
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is it impractical to survey all 100 million people in the country?
All of the above
Because it is time-consuming
Because it is impossible to reach everyone
Because it is too expensive
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the sample mean if 57 people vote for candidate A and 43 for candidate B?
0.50
0.57
0.43
0.60
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How is the sample variance calculated in this scenario?
By dividing the sum of distances by the number of samples minus one
By dividing the sum of squared distances by the number of samples
By dividing the sum of distances by the number of samples
By dividing the sum of squared distances by the number of samples minus one
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the standard deviation of the sampling distribution represent?
The spread of the sample variance
The spread of the sampling distribution of the sample mean
The spread of the population distribution
The spread of the sample distribution
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How is the standard deviation of the sampling distribution estimated?
By using the population variance
By using the sample variance
By using the sample standard deviation divided by the square root of the sample size
By using the population standard deviation
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of calculating a confidence interval?
To determine the variance of the sample
To find the exact mean of the population
To calculate the standard deviation of the population
To estimate the range in which the true mean of the population lies with a certain level of confidence
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