Why must Researchers report their results?
Publishing results of research projects in peer-reviewed journals enables the scientific and medical community to evaluate the findings themselves. It also provides instructions so that other researchers can repeat the experiment or build on it to verify and confirm the results.
What happens in a negative correlation quizlet?
Negative correlation means that as one variable goes up or down, the other goes the opposite way.
Is an idea arrived at logically from a theory it can be thought of as an educated guess and it can be tested?
Explain why certain things have happened A hypothesis is an idea arrived at logically from a theory. It can be thought of as an educated guess, and it can be tested. In order to test a hypothesis and conduct valid empirical research, a psychologist first needs a.
What field of psychology would study the relationship between two variables?
Correlational research is a type of non-experimental research in which the researcher measures two variables and assesses the statistical relationship (i.e., the correlation) between them with little or no effort to control extraneous variables.
What does it mean when two variables are positively correlated?
Positive correlation is a relationship between two variables in which both variables move in tandem—that is, in the same direction. A positive correlation exists when one variable decreases as the other variable decreases, or one variable increases while the other increases.
What does it mean when a correlation exists between two variables?
A correlation exists between two variables when the values of one variable are somehow associated with the values of the other variable. When you see a pattern in the data you say there is a correlation in the data.
In what situation can a correlation indicate a cause and effect relationship?
Causation is the relationship between cause and effect. So, when a cause results in an effect, that’s a causation. In other words, correlation between two events or variables simply indicates that a relationship exists, whereas causation is more specific and says that one event actually causes the other.
Can two variables be independently associated?
You can tell if two random variables are independent by looking at their individual probabilities. If those probabilities don’t change when the events meet, then those variables are independent. Another way of saying this is that if the two variables are correlated, then they are not independent.
What does it mean if two variables are both associated and independent?
The first component is the definition: Two variables are independent when the distribution of one does not depend on the the other. If the probabilities of one variable remains fixed, regardless of whether we condition on another variable, then the two variables are independent. Otherwise, they are not.
How do you test independent variables?
Two events, A and B, are independent if P(A|B) = P(A), or equivalently, if P(A and B) = P(A) P(B). The second statement indicates that if two events, A and B, are independent then the probability of their intersection can be computed by multiplying the probability of each individual event.
What is the 10 condition in statistics?
The 10% condition states that sample sizes should be no more than 10% of the population. Normally, Bernoulli trials are independent, but it’s okay to violate that rule as long as the sample size is less than 10% of the population. …
What is the difference between dependent and independent event?
Dependent events influence the probability of other events – or their probability of occurring is affected by other events. Independent events do not affect one another and do not increase or decrease the probability of another event happening.
What is the difference of the 2 types of random variables?
Random variables are classified into discrete and continuous variables. The main difference between the two categories is the type of possible values that each variable can take. In addition, the type of (random) variable implies the particular method of finding a probability distribution function.
What is random variable explain with example?
A typical example of a random variable is the outcome of a coin toss. Consider a probability distribution in which the outcomes of a random event are not equally likely to happen. If random variable, Y, is the number of heads we get from tossing two coins, then Y could be 0, 1, or 2.
How do you find the values of a random variables?
Step 1: List all simple events in sample space. Step 2: Find probability for each simple event. Step 3: List possible values for random variable X and identify the value for each simple event. Step 4: Find all simple events for which X = k, for each possible value k.
How do you know if something is discrete or continuous?
A discrete variable is a variable whose value is obtained by counting. A continuous variable is a variable whose value is obtained by measuring. A random variable is a variable whose value is a numerical outcome of a random phenomenon. A discrete random variable X has a countable number of possible values.