# Resources tagged with: Sampling and hypothesis testing

### There are 13 results

Broad Topics >

Advanced Probability and Statistics > Sampling and hypothesis testing

##### Age 16 to 18 Challenge Level:

Some short statements about hypothesis testing: are they true, false, or somewhere in between?

##### Age 16 to 18 Challenge Level:

How effective are hypothesis tests at showing that our null hypothesis is wrong?

##### Age 14 to 18 Challenge Level:

This pilot collection of resources is designed to introduce key statistical ideas and help students to deepen their understanding.

##### Age 16 to 18 Challenge Level:

How can you time the reaction timer?

##### Age 16 to 18 Challenge Level:

How many trials should we do in order to accept or reject our null hypothesis?

##### Age 16 to 18 Challenge Level:

Typical survey sample sizes are about 1000 people. Why is this?

##### Age 14 to 16 Challenge Level:

What information helped medical pioneers decide on the cause of a
disease? Especially in a time before microscopes were as powerful
as they are today ?

##### Age 14 to 18

This article discusses how a survey company carries out its surveys and some of the issues involved.

##### Age 16 to 18 Challenge Level:

"Too much sleep is deadly" proclaimed the newspaper headline. Is this true?

##### Age 16 to 18

How was the data for this problem compiled? A guided tour through the process.

##### Age 16 to 18 Challenge Level:

Is the age of this very old man statistically believable?

##### Age 16 to 18 Challenge Level:

How would you massage the data in this Chi-squared test to both
accept and reject the hypothesis?

##### Age 14 to 16 Challenge Level:

I need a figure for the fish population in a lake. How does it help to catch and mark 40 fish?