when the null hypothesis for an anova analysis comparing four treatment means is rejected,
by Aaliyah Morissette
Published 2 years ago
Updated 2 years ago
What is the null hypothesis for a paired t-test?
This problem has been solved! When the null hypothesis for an ANOVA analysis comparing four treatment means, is rejected, a. 4 comparisons of treatment means can be made. b. 8 comparisons of treatment means can be made. c. 6 comparisons of treatment means can be made. d. 16 comparisons of treatment means can be made.
Does the ANOVA comparing the average income among three levels of Education?
When the null hypothesis for an ANOVA analysis comparing four treatment means is rejected, _____. 2.0 ± 2.052 * 6.52 A random sample of 30 executives from companies with assets over $1 million was selected and asked for their annual income and level of education.
Does average income between three levels of education reject the null hypothesis?
Statistics and Probability. Statistics and Probability questions and answers. The null hypothesis for an ANOVA analysis comparing four treatment means is rejected. The four sample means are = 10, = 12, = 15, = 18. The sample size for each treatment is the same.
What does a confidence interval show in ANOVA?
When the null hypothesis for an ANOVA analysis comparing four treatment means is rejected, _____. six comparisons of treatment means can be made When comparing the mean annual incomes for executives with undergraduate and master's degrees or more,which of the following 95% confidence interval can be constructed?
When the null hypothesis is rejected for a one way Anova It means that?
For one-way ANOVA, you reject the null hypothesis when there is sufficient evidence to conclude that not all of the means are equal.
What is the null hypothesis when using ANOVA for 4 samples quizlet?
The null hypothesis is that the standard deviations of the groups are equal (s=s, or that there is homogeneity of variance).
What is the null hypothesis in the ANOVA setting?
The null hypothesis in ANOVA is always that there is no difference in means. The research or alternative hypothesis is always that the means are not all equal and is usually written in words rather than in mathematical symbols.
What factors are most likely to reject the null hypothesis for an ANOVA?
null hypothesis should be rejected if the discrepancy between observed (fO) and expected (fE) values is large (aka if x2 is large).
What is the research hypothesis when using ANOVA procedures quizlet?
At least one one group means is significantly different from the others is the research hypothesis when using ANOVA procedures. Taken together the between groups sum of squares and the within group of sum of squares compose the total variation or sum of squares.
What are the four assumptions of ANOVA quizlet?
The four assumptions are that (1) the data are randomly selected; (2) the underlying population distributions are normal; (3) the variability is similar across groups, or homoscedasticity; and (4) there are no order effects.
What is the null hypothesis in correlation analysis?
For a product-moment correlation, the null hypothesis states that the population correlation coefficient is equal to a hypothesized value (usually 0 indicating no linear correlation), against the alternative hypothesis that it is not equal (or less than, or greater than) the hypothesized value.
Which outcome is expected if the null hypothesis is true for an analysis of variance?
For ANOVA, when the null hypothesis is true, the F-ratio is balanced so that the numerator and the denominator are both measuring the same sources of variance. In analysis of variance, MS total = MS between + MS within.
How do you write a null hypothesis for a one-way ANOVA?
The null hypothesis is a point hypothesis stating that “nothing interesting is happening.” For one-way ANOVA, we use H0 : µ1 = ··· = µk, which states that all of the population means are equal, without restricting what the common value is.
When comparing more than two treatment means Why should you use an analysis of variance instead of using multiple t tests?
when comparing more than two treatment means, why should you use an analysis of variance instead of using several t tests? using several t tests increases the risk of experiment-wise Type I error. In an analysis of variance, differences caused by treatment effects contribute to which of the following variences?
What is the purpose of Posttests?
What is the purpose of Posttests? Postests are used to determine exactly which treatment conditions are SIGNIFICANTLY DIFFERENT.
What information do you need to know when deciding which statistic to use?
For a statistical test to be valid, your sample size needs to be large enough to approximate the true distribution of the population being studied. To determine which statistical test to use, you need to know: whether your data meets certain assumptions.the types of variables that you're dealing with.Jan 28, 2020