Sampling Distribution Basics
Sample Proportions
Sample
Means
Normal Checks
Just Trivia
100

On Earth, approximately 11% of all 8 billion people are lefties. In a SRS of 400 people on Earth, 10.8% of people were lefties. 

What is the parameter and what is the statistic in the above statement?

parameter: 11% of all people are lefties

statistic: 10.8% of those sampled were lefties


100

What symbol do we use for a sample proportion?

p-hat

100

You come across the following problem on a test:

"A machine that fills cereal boxes fills the boxes with a mean of 12 ounces with a standard deviation of 0.4 ounces. A random sample of 50 boxes has a mean of 11.6 ounces, determine if this is convincing evidence the machine is malfunctioning"


Explain why it is apparent this is a means problem

Any of the following reasons work:

1) we are told a standard deviation

2) Mass/number of ounces is a quantitative variable 

3) we are discussing the mean from a sample, not the proportion with an attribute

100

The lifespan of female Ohioans is normally distributed with a mean of 81 and the st dev of 5. 

For a SRS of 12 female Ohioans, explain why the sampling distribution for this would be approximately normal.

What is... the population distribution is known to be approximately normal

100

Who is headlining the Superbowl halftime show this weekend?

Who is Bad Bunny

200

On Earth, approximately 11% of all 8 billion people are lefties. In a SRS of 400 people on Earth, 10.8% of people were lefties. 

What is the population and what is the sample in the above statement?

Population: all people on Earth

Sample: SRS of 400 people on Earth

200

You come across the following question on a test:

"It is known that 95% of bees in a city are female. In a simple random sample of 500 bees in the city, 435 are female. Determine if this is a surprising result"

Explain what in the problem tells you it is a PROPORTIONS problem instead of a MEANS problem

Any one of the following would work:

1) We are talking about the percent of a population that has a specific attribute, i.e. the proportion of the population that are female

2) We aren't told any standard deviation

3)  this is a Binomial/CATEGORICAL problem: the success=female, fail=male

200

A machine that fills cereal boxes fills the boxes to a mean of 12 ounces with a standard deviation of 0.4 ounces.

If you were to create the sampling distribution for a random sample of 50 boxes, what would the mean and standard deviation of the sampling distribution be?

mean=12 oz

st dev= 0.4/sqrt(50)=0.057

200

It is known that 95% of bees are female. In a simple random sample of 50 bees in a hive, 43 are female.

Explain why WE CANNOT use the normal distribution to solve a probability problem for this scenario

We cannot use the normal distribution because this fails the large counts check....

0.95*50=47.5>10, 

but 0.05*50=2.5 which is not at least 10

200

Complete the phrase:

"It's not clocking to you that I'm standing on ..."

"Business"

-Justin Bieber

300

What is a sampling distribution?

The distribution of the statistic of interest for every possible sample of a given size from a population

300

It is known that 95% of bees are female. In a simple random sample of 50 bees in a hive, 43 are female. Assume we sampled less than 10% of the hive.

Calculate the standard deviation for the sampling distribution of proportion of bees that are female, and interpret it.

What is  0.03

"In many many samples of 50 bees in a hive, the proportion that are female typically varies from the mean of 95% by about 3%" ?

Note: we have to be assured we sampled less than 10% of the hive to solve this problem!


300

What is the difference between x-bar, μx-bar, and μ ?

x-bar is the average of a sample

μx-bar is the average of a sampling distribution

μ is a population average


300

The distribution of wealth of Americans is strongly skewed right, with most people being worth a little and a few owning a large amount of wealth. Explain the shape of a sampling distribution of the average wealth of a SRS of 40 Americans

By the central limit theorem, since we sampled over 30 Americans, this distribution is approximately Normal

300

Approximately how many hours was TikTok banned/taken down in early 2025?

What is 12 hours

400

Increasing sample size does what to the sampling distribution?

Decreases variability

400

It is known that 8% of males are colorblind. For the sampling distribution for 200 randomly selected males, determine the mean and standard deviation.

mean=0.08

standard deviation=sqrt((0.08*0.93)/200)=0.192

400

In a population, the average age at which a child loses their first tooth is 7.3 year with a standard deviation of 0.5 years. You take a SRS of 12 children in the community and find the average age in your sample to be 6.8 years. Explain why you can't find the probability of this outcome.

We don't know the population is normally distributed, and we didn't sample at least 30 children, so we can't use the Normaldist.

400

Would you use the 10/10 large counts check, or the CLT for the following scenario to confirm the sampling distribution is approximately normal:

"In a school, approximately 67% of students graduate buy lunch each day. In a SRS of 100 students, what is the probability that over 70 bought their lunch on a given day?"

This is a proportions problem, you must use the 10/10 large counts check.

0.67*100>10 and 0.33*100>10

400

How many bones does a shark have?

What is zero
500

What does it mean to be an unbiased estimator?

The mean of the sampling distribution is equal to the population parameter of interest

500

According to known data, 45% of all students like block schedules. A sample of 200 students is taken. What is the probability the sample proportion is between 50% and 60%? Assume all conditions for normality and independence are met.

Normaldist(mean=0.45, stdev=sqrt((.45*.55)/200) )

P(0.5<X<0.6)=0.078

500

Duracell batteries have an average charge of 98 hours and a standard deviation is 8. You sample 40 batteries and find the average charge in the sample to be 97. What's the probability of this average or worse? Is it surprising?

Normaldist(mean=98, st dev=8/sqrt(40))

P(X<97)=0.215

This is not a surprising result because this happens more than 5% of the time.

500

As of a December 2025 poll of 1000 likely Ohio voters, Amy Acton is edging out Vivek Ramaswamy with 46% of the votes (9% undecided, 45% Ramaswamy). 

Explain why the sampling distribution of the proportion who plan to vote for Acton in this type of poll is approximately normally distributed.

First, it is independent because we sampled less that 10% of likely Ohio voters.

It is approximately normally distributed since 0.46*1000>10 and 0.54*1000>10

500

What Mediterranean dip is made from charred eggplant mixed with tahini, olive oil, lemon juice, and garlic

What is baba ganoush?

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