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Because its the group for which the idependent variable is help constand in a statistical study.
Dependent variable is the variable that can be measured. However, the independent variable is the variable that changes in the two groups.
It's probably difficult to find some kind of statistical average, as there is no reported national consensus for average allowances for certain age groups. I myself never was paid allowance, but I bet it usually has to do with your parent(s)' income and the balance between alloting you some economic freedom without spoiling you and shirking your potential for self-responsibility in the future.
The Independent Samples T Test compares the mean scores of two groups on a given variable.
Yes, in fact any statistical having a probability of occurence under the null hypothesis less than 0.05 would be considered significant.
Statistical analysis, such as ANOVA (Analysis of Variance), is commonly used to compare values for independent variables in experiments. ANOVA helps determine if there are statistically significant differences between groups and can reveal which groups differ from each other. This analysis is crucial for drawing conclusions based on the data gathered.
To choose the appropriate statistical test, the following four question must be answered; What are your dependent and independent variables? What is scale of measurement of the variables? How many groups/samples are there in the study? Have I have met the assumptions of the statistical test?
Levene's test is used to assess whether the variances of two or more groups are equal. It is commonly employed in statistical analysis to determine if the assumption of homogeneity of variances is met, which is important for certain statistical tests such as the t-test and ANOVA.
Because its the group for which the idependent variable is help constand in a statistical study.
Not every experiment has control groups. If control groups are not feasible, you do what you can, and you may still learn something of interest. In the case of something like medical research, which really should have control groups, you can still use general statistical information to establish a baseline. People (for example) normally grow to a certain average height. We administer experimental drug X to our subjects, and they grow to a certain height which can be compared to the statistical average. This does tell us something.
No. They are independent and do not live in groups.
Not every experiment has control groups. If control groups are not feasible, you do what you can, and you may still learn something of interest. In the case of something like medical research, which really should have control groups, you can still use general statistical information to establish a baseline. People (for example) normally grow to a certain average height. We administer experimental drug X to our subjects, and they grow to a certain height which can be compared to the statistical average. This does tell us something.
for most of their life they are independent
Over the past two decades, three independent groups have used varying statistical methods and arrived at nearly identical conclusions that the planet's surface, on average, has warmed about 0.75 degrees Celsius since the beginning of the twentieth century. Of course, this is an average and for many reasons, some zones have warmed much more than others. In addition, variations in weather patterns result in maximum temperatures rising much more than the average.
No, they stick together in groups
A statement of no difference in experimental treatments indicates that there was no significant effect observed between the groups being compared. It suggests that the results obtained from the treatments were similar or not statistically different from each other. This is often reported after statistical analysis has been performed to determine if there is a significant difference between groups.
They live in pods or groups and actually have a family structure.