### Error Variance – Chemistry Lab Hw

The key terms of Chemistry Lab Homework include, Error Variance, ANOVA, post-hoc test, nominal level, Kruskall-Wallis Test, Scheffe or Tukey, one-way ANOVA.

Researcher Thomson was interested in nurses’ attitudes toward aggressive care with three groups who all had aids: gay men, IV drugs users, and those who received blood transfusions. After gathering data, she ran a one-way ANOVA. The F value was 22.4 and the p value was 0.005. In interpreting her findings she should:

**run a post-hoc test (Scheffe or Tukey) to see which groups differed**

Which of the following is best described as error variance due to sampling error or random difference:

**A. within group variance** **– correct**

B. total variance

C. random sample

D. between group variance

The mean sums of squares of the between group and within group sum of squares is calculated by dividing each by its respective degrees of freedom**A. True**

B. False

The null hypothesis in one-way analysis of variance is:

A. the group means are statistically significantly different from one another

B. the within group variance is significantly smaller than the between group variance

C. the total variance is greater than the within group variance**D. any difference in group means comes from a sampling error** **– correct**

he statistic reported in one-way ANOVA is:

**False**

In general, the greater the between group variance compared to the within group variance, the more likely you are to

**find statistical significance**

In one-way analysis of variance, the independent variable (also called the factor or grouping variable) is measured at the:

**nominal level**

In a one-way ANOVA, there are two degrees of freedom — n – 1 which refers to the number of subjects minus one (within groups) and k – 1 which:

**Is the number of groups minus one (between groups)**

Although the ANOVA is a very robust test, when the assumptions for the test are seriously violated, you should consider running:

**Kruskall-Wallis Test**

ANOVA is a statistical procedure used to analyze differences in group variances. True or False

**False**

Researcher Thomson was interested in nurses’ attitudes toward aggressive care with three groups who all had aids: gay men, IV drugs users, and those who received blood transfusions. After gathering data, she ran a one-way ANOVA. The F value was 22.4 and the p value was 0.005. In interpreting her findings she should:

**run a post-hoc test (Scheffe or Tukey) to see which groups differed**

Which of the following is best described as error variance due to sampling error or random difference:

**A. within group variance** **– correct**

B. total variance

C. random sample

D. between group variance

The mean sums of squares of the between group and within group sum of squares is calculated by dividing each by its respective degrees of freedom**A. True**

B. False

The null hypothesis in one-way analysis of variance is:

A. the group means are statistically significantly different from one another

B. the within group variance is significantly smaller than the between group variance

C. the total variance is greater than the within group variance**D. any difference in group means comes from a sampling error** **– correct**

he statistic reported in one-way ANOVA is:

**False**

In general, the greater the between group variance compared to the within group variance, the more likely you are to

**find statistical significance**

In one-way analysis of variance, the independent variable (also called the factor or grouping variable) is measured at the:

**nominal level**

In a one-way ANOVA, there are two degrees of freedom — n – 1 which refers to the number of subjects minus one (within groups) and k – 1 which:

**Is the number of groups minus one (between groups)**

Although the ANOVA is a very robust test, when the assumptions for the test are seriously violated, you should consider running:

**Kruskall-Wallis Test**

ANOVA is a statistical procedure used to analyze differences in group variances. True or False

**False**