Quiz: The 6 MUST-KNOW Statistical Distributions MADE EASY [4/13]

Test your understanding of the six common statistical distributions and their specific characteristics as explained in this video

Mathematics mixed 8 Questions Video Quiz

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Q1 Beginner 1 pts

According to the video, what specific feature characterizes how data is distributed in a normal distribution? Video Reference:
"the continuous numerical height data from the population of NBA players is distributed symmetrically..."

50% of observations lie below the mean and 50% above All data must be continuous The curve is always flat The data must come from large populations only

Q2 Intermediate 2 pts

In the video's explanation of T distributions, what does 'df' specifically stand for and how is it calculated? Video Reference:
"DF here means the degrees of freedom and in the context of a t distribution this is referring specif..."

Degrees of freedom, calculated as sample size minus one Data frequency, calculated as total observations Distribution factor, calculated as mean value Data function, calculated as variance

Q3 Beginner 1 pts

The video demonstrates the binomial distribution using what specific example? Video Reference:
"let's say we flipped a coin 10 times and for each set of 10 flips we noted down how many heads we go..."

Flipping a coin 10 times and counting heads Rolling a dice 100 times Measuring NBA player heights Counting shop sales per hour

Q4 Intermediate 2 pts

According to the video, what specific expected value was used in the Poisson distribution example for sales per hour? Video Reference:
"for this particular distribution I have used an expected sales per hour value of 3.2..."

3.2 4.1 13.0 20.9

Q5 Intermediate 2 pts

According to the video, what is the probability of rolling a six in the Bernoulli distribution example? Video Reference:
"we should end up with a probability of rolling a six one out of every six times or 16.7 percent..."

16.7% 83.3% 50% 33.3%

Q6 Intermediate 2 pts

The video states that as sample size increases in a T distribution, what specifically happens to its shape? Video Reference:
"as the sample size and thus the degrees of freedom gets larger the T distribution tends more towards..."

True

False

Q7 Advanced 3 pts

According to the video, what is unique about the Poisson distribution compared to the others discussed? Video Reference:
"this distribution is not symmetrical and this is actually because the poisson distribution is bounde..."

It is not symmetrical and is bounded between zero and infinity It only works with continuous data It requires large sample sizes It only works with binary outcomes

Q8 Intermediate 2 pts

In the video's coin flip example for the binomial distribution, which outcomes were described as occurring 'in the vast majority of cases'? Video Reference:
"as you can see in the vast majority of cases from our 10 flips we would get either 4 5 or 6 heads..."

Select all correct answers

4 heads 5 heads 6 heads 3 heads

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Quiz: The 6 MUST-KNOW Statistical Distributions MADE EASY [4/13]

According to the video, what specific feature characterizes how data is distributed in a normal distribution? Video Reference: "the continuous numerical height data from the population of NBA players is distributed symmetrically..."

In the video's explanation of T distributions, what does 'df' specifically stand for and how is it calculated? Video Reference: "DF here means the degrees of freedom and in the context of a t distribution this is referring specif..."

The video demonstrates the binomial distribution using what specific example? Video Reference: "let's say we flipped a coin 10 times and for each set of 10 flips we noted down how many heads we go..."

According to the video, what specific expected value was used in the Poisson distribution example for sales per hour? Video Reference: "for this particular distribution I have used an expected sales per hour value of 3.2..."

According to the video, what is the probability of rolling a six in the Bernoulli distribution example? Video Reference: "we should end up with a probability of rolling a six one out of every six times or 16.7 percent..."

The video states that as sample size increases in a T distribution, what specifically happens to its shape? Video Reference: "as the sample size and thus the degrees of freedom gets larger the T distribution tends more towards..."

According to the video, what is unique about the Poisson distribution compared to the others discussed? Video Reference: "this distribution is not symmetrical and this is actually because the poisson distribution is bounde..."

In the video's coin flip example for the binomial distribution, which outcomes were described as occurring 'in the vast majority of cases'? Video Reference: "as you can see in the vast majority of cases from our 10 flips we would get either 4 5 or 6 heads..."