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Differences between two sample averages are most likely to be statistically significant if?
difference is large
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Can paired means be statistically significant?
No. However, the difference between them can be.
Are the differences between mean and median significant?
yes median is the middle number of the group and mean is the avergage number of the group put together
To decide whether observed differences between samples reflect actual differences between?
statistical significance
What is the difference between a crude odds ration and an adjusted odds ratio?
Odds ratio (AD/BC) is the ratio between number of times that something happens and does not happen. Crude odds ratio is the ratio that is not stratified (ex. by age). Adjusted odds ratio is a stratified odds ratio. If the odds ratio equals one, then there is no association, and null hypothesis shall be accepted. If one is included into confidence interval, then it is possible that odds ratio equals one, and it is not statistically significant. If stratified odds ratios are about the same, or there are no significant differences, the odds ratios are combined into one common odds summary estimate of two stratum specific ORs using Mantel-Haenszel and/or Cohran's tests, or multivariable analysis.
What is the chi square test used for?
The chi-squared test is used to compare the observed results with the expected results. If expected and observed values are equal then chi-squared will be equal to zero. If chi-squared is equal to zero or very small, then the expected and observed values are close. Calculating the chi-squared value allows one to determine if there is a statistical significance between the observed and expected values. The formula for chi-squared is: X^2 = sum((observed - expected)^2 / expected) Using the degrees of freedom, use a table to determine the critical value. If X^2 > critical value, then there is a statistically significant difference between the observed and expected values. If X^2 < critical value, there there is no statistically significant difference between the observed and expected values.
Can paired means be statistically significant?
No. However, the difference between them can be.
How is the null hypothesis of the independent samples t test verbalized?
The null hypothesis of the independent samples t-test is verbalized by either accepting or rejecting it due to the value of the t-test. If the value is less than 0.05 it is accepted and greater than 0.05 is rejecting it.
What does it mean to say the difference between the means of group a and b is statistically significant?
There is an established statistical point for most comparisons or measurements that is so small that differences at or below it are considered to be "random", "predictable", or "meaningless". If a difference between A and B exceeds this point, it is said to be "significant", which does not necessarily mean "important" or "huge" - just "significant".
When is there no trend line for a scatter plot?
When no possible relationship between the two variables in question is statistically significant.
Research on differences between the moral reasoning of males and females has shown that?
there are significant differences between moral reasoning of men and women
Clinical psychologist explain why the null hypothesis stating that there were no statistically significant differences between benefits of behavioral therapy and psychoanalysis when treating an eating?
u do know that that question makes no sense? i think u left out a little bit at the end.............. u mean an ed?
Similarities between Mars northern and southern hemisphere?
There are no significant differences.
Is there significant differences exist between accounting standards issued by the fasb and the iasb?
no
What are within group and between group differences?
Within-group differences refer to variations that exist among individuals or data points within the same group or category. This can include differences in characteristics, behaviors, or outcomes within the group. Between-group differences refer to variations that exist between different groups or categories. This can include differences in averages, distributions, or patterns observed when comparing multiple groups.
What are 3 significant differences between the male and female urethras?
Sperm testicles and a penis:)
What kind of test analyze data for experimental treatments?
An analysis of variance (ANOVA) test is commonly used to analyze data from experimental treatments to determine if there are statistically significant differences between groups. This test compares the means of multiple groups to assess whether any differences observed are due to the treatments or simply random variation.
What would you employ to know if there is a statistically significant difference between the means of two groups?
A bar chart, line graph or a scatter gram for the line of best fit
