Day 9

Question 1

Probability

Answer 1

the likelihood of obtaining a particular outcome relative to the total number of possible outcomes. The ratio of the frequency of an outcome to the number of possible outcomes. It is expressed as a fraction, portion or percentage.

Question 2

Probabilty continued,

Answer 2

Probabilty refers to discrete outcomes, an outcome either fits into a category or does not. Ex: head or tails.

Question 3

Outcome of Probabilty

Answer 3

The number of possible outcomes must be considered. Ex: if there are 8 horses in a race, there are 8 possible outcomes.

Question 4

Possible outcome explained

Answer 4

Probability for all possible outcomes must as up to 100% (or as a proportion) Ex: p(winning+Losing)=1.0.

Question 5

Calculating probaility

Answer 5

Easily done with a known distribution. In a standard deck of playing cards there are 13 cards per suit, there are 4 suits. so N=52, 1/52 (ace of hearts), 13/52 P(any hearts), P(any red card) 26/52.

Question 6

Know the

Answer 6

Normal curve

Question 7

Hypothesis testing

Answer 7

The general goal of hypothesis test is to rule out chance(sampling error) as a plausible explanation for the results from a research survey.

Question 8

Hypothesis testing continued

Answer 8

Hypothesis testing is a technique to help determine whether a specific treatment has an effect of the individuals in a population.

Question 9

Hypothesis testing important terms

Answer 9

Population, sample, distribution of sample means, hypothesis, treatment, IV and DV.

Question 10

Defining terms

Answer 10

Population- what you are looking for.
Sample-taken out of the population you are looking for.
Distribution of sample means- it is a normal sample in regard to population, reproduce a normal distribution.

Question 11

Defining terms continued

Answer 11

Hypothesis-your prediction, what the outcomes of results will be.
Treatment- is what you did in the study.
IV-being manipulated.
DV-Outcome measure.

Question 12

Directional hypothesis

Answer 12

That one element is between than the other. Also single-test to use. Error often likely found. Usually avoided because it shows biases.

Question 13

Stastical significants

Answer 13

results of a statistical test is significant if it exceeds the decision criterion chosen. This refers to the Probability that this result would occur by chance NOT the size or the imaginative of the effect observed. The measure if effect size must be used ti determine magnitude of the effect.