STAT1008 Lecture Notes - Lecture 14: Statistical Significance, Zener Cards, Null Hypothesis

55 views3 pages
30 May 2018
School
Department
Course
Professor
STAT1008 Week 5 Lecture B
Extrasensory Perception:
One way to test for ESP is with Zener cards
Subjects draw a card at random and telepathically communicate this to someone
who then guesses the symbol
E.g. There are five cards with five different symbols, so if there is no such thing
as esp, P = of all guesses should be correct
Stats vary from sample to sample; even if the population proportion is , not
every sample proportion will be exactly
Statistical Test:
A statistical test uses data from a sample to assess a claim about a
population
E.g. In the ESP experiment, we want to use sample data to determine
whether or not the sample of correct guesses is really over
.
Statistical hypotheses:
Statistical tests are framed formally in terms of two competing hypotheses:
Null Hypothesis (H0): Claim that there is no effect or difference in the thing
we are trying to test
Alternative Hypothesis (Ha): Claim for which we seek evidence. Normally
set it up first
Both compete with each other about a population
The alternative hypothesis is established by observing evidence (data) that
contradicts the null hypothesis and supports the alternative hypothesis
Hypotheses are always about population parameters.
Usually the null is a very specific statement thus use the alternative hypothesis to
find statements to reject the null
E.g. For the ESP experiment:
Ho: P = <- no “effect” or no “difference”
Ha: P > <- claim we seek “evidence” for
Hints:
Ho usually includes =
Ha usually includes >, <, or doesn’t =
The inequality in Ha depends on the question
E.g. Sleep vs Caffeine
Students were given words to memorize, then randomly assigned to take
either a 90 min nap, or a caffeine pill.
Let mus and muc be the mean number of words recalled after sleeping
and after caffeine.
Ho: mus = muc
HA: mus doesn’t = muc
The following hypotheses are equivalent, and either set can be used:
H0: mus - muc = 0
HA: mus - muc doesn’t = 0
find more resources at oneclass.com
find more resources at oneclass.com
Unlock document

This preview shows page 1 of the document.
Unlock all 3 pages and 3 million more documents.

Already have an account? Log in

Document Summary

One way to test for esp is with zener cards. Subjects draw a card at random and telepathically communicate this to someone. Statistical hypotheses: who then guesses the symbol. There are five cards with five different symbols, so if there is no such thing as esp, p = of all guesses should be correct. Stats vary from sample to sample; even if the population proportion is , not every sample proportion will be exactly whether or not the sample of correct guesses is really over . A statistical test uses data from a sample to assess a claim about a. In the esp experiment, we want to use sample data to determine population. Statistical tests are framed formally in terms of two competing hypotheses: Null hypothesis (h0): claim that there is no effect or difference in the thing we are trying to test. Alternative hypothesis (ha): claim for which we seek evidence. Both compete with each other about a population.

Get access

Grade+
$40 USD/m
Billed monthly
Grade+
Homework Help
Study Guides
Textbook Solutions
Class Notes
Textbook Notes
Booster Class
10 Verified Answers
Class+
$30 USD/m
Billed monthly
Class+
Homework Help
Study Guides
Textbook Solutions
Class Notes
Textbook Notes
Booster Class
7 Verified Answers

Related textbook solutions

Related Documents