Inference & Sampling
Types os Studies
Comparing Distributions
Normal Distributions
Z-Scores and Finding Data Values
100

A researcher surveys 50 randomly selected students from a school of 2,000 students.


Question: What is the sample?

What is The 50 randomly selected students.

100

A researcher asks 500 people how many hours they exercise each week.


Question: What type of study is this?

Sample survey.

100

Which measure represents the center of a data set: mean, median, or IQR?

Mean and median.

100

In a normal distribution, what percentage of data falls within 1 standard deviation of the mean?

About 68%.

100

A test score is 85. The mean is 80 and the standard deviation is 5. What is the z-score?

z = 1

200

A poll finds that 65% of 300 randomly selected voters support a candidate.


Question: What population is the poll trying to describe?

What is All voters in the area being studied.

200

Scientists assign subjects to receive either a new drug or a placebo.


Question: What type of study is this?

Experiment.

200

Which measure represents spread: median, mean, or standard deviation?

Standard deviation.

200

In a normal distribution, what percentage of data falls within 2 standard deviations of the mean?

About 95%.

200

A basketball player's height is 78 inches. The mean height is 72 inches and the standard deviation is 3 inches. What is the z-score?

z = 2

300

Why is a random sample preferred over a convenience sample?

A random sample is more likely to represent the population and reduce bias.

300

Researchers record the diets and health outcomes of people without changing anything.


Question: What type of study is this?

Observational study.

300

A distribution is heavily skewed.


Question: Which measure of center is most appropriate?

Median. 

300

The mean is 80 and the standard deviation is 5.

Question: What interval contains about 68% of the data?

75 to 85.

300

A distribution has a mean of 50 and a standard deviation of 10. What data value has a z-score of 1.5?

x = 65

400

A random sample of 100 students has an average GPA of 3.2.


Question: What inference can be made?

The average GPA of all students is likely close to 3.2.

400

Why is random assignment important in an experiment?

It helps create similar groups and reduces bias.

400

Two classes have the same mean score. Class A has a standard deviation of 3 and Class B has a standard deviation of 12.


Question: Which class has more variability?

Class B.

400

The mean is 70 and the standard deviation is 10.

Question: Approximately what percentage of values are above 90?

About 2.5%.

400

SAT scores are normally distributed with a mean of 1050 and a standard deviation of 150. What score corresponds to a z-score of -1.2?

x = 870

500

Two random samples from the same population produce slightly different results.


Question: Why is this expected?

Sampling variability causes different samples to produce different results.

500

Which study type provides the strongest evidence for cause-and-effect relationships?

A randomized experiment.

500

Data Set A: Median = 75, IQR = 6

Data Set B: Median = 75, IQR = 18


Question: Which data set is more consistent and why?

Data Set A because it has the smaller IQR.

500

The mean is 50 and the standard deviation is 4.

Question: Approximately what percentage of values lie between 42 and 58?

About 95% (within 2 standard deviations).

500

The weights of dogs at a shelter are normally distributed with a mean of 40 lbs and a standard deviation of 8 lbs. Dog A weighs 56 lbs. Dog B weighs 44 lbs. Calculate each dog's z-score and determine which dog is more unusua

Dog A: z = 2

Dog B: z = 0.5

Dog A is more unusual because its z-score is farther from 0.

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