* not completed

. Which of the following is not a point estimate.

the mean of the sample correct incorrect

the confidence interval of the mean of a sample correct incorrect

the eta-squared of an effect correct incorrect

the standard deviation of the sample correct incorrect

* not completed

. If the confidence interval has high precision, which of the following is most likely true?

the true population parameter lies within the confidence interval correct incorrect

the true population parameter lies outside the confidence interval correct incorrect

the confidence interval has a very narrow range correct incorrect

the confidence interval has a very wide range correct incorrect

* not completed

. Which of the following is true when comparing point estimates to confidence intervals?

Intervals can be more useful as point estimates can risk having low precision. correct incorrect

Confidence intervals and point estimates are used to estimate different parameters that do not overlap. correct incorrect

Point estimates are used for qualitative data and confidence interval are used for quantitative data. correct incorrect

Point estimates tend to have much higher precision, because confidence intervals are used only when precision is low. correct incorrect

* not completed

. Which of the following can the doctor conclude?

The true population difference likely lies between the confidence interval correct incorrect

The sample that was collected differs significant from expectation correct incorrect

There was no evidence to suggest that the sample differed significantly from the population mean correct incorrect

The population confidence interval is likely estimated by the sample confidence interval correct incorrect

* not completed

. In general, when you go from a 90% confidence interval to a 95% confidence interval, what happens?

The interval range becomes narrower because it is more precise. correct incorrect

The interval range becomes wider and it is less precise. correct incorrect

The interval because more precise but the range does not change. correct incorrect

The interval becomes more precise, but how the range changes cannot be known before hand. correct incorrect

* not completed

. A researcher calculates a 95% confidence interval for mean differences in her data. She finds the confidence interval does not contain 0. Which of the following is not true?

The mean difference is statistically significant at the .05 level correct incorrect

The mean difference is not statistically significant at the .05 level correct incorrect

The mean difference is significant might not be significant at the .01 level correct incorrect

The mean difference has a large effect correct incorrect

* not completed

. Cohen's d tells us...

the variability of the data correct incorrect

the size of the difference between two means correct incorrect

the strength of the relationship between two variables correct incorrect

the odds of the independent variable having an effect on the dependent variable, taking into account the size of the sample correct incorrect

* not completed

. Thinking about the formula between Cohen's d and the t-statistic, which of the following is true?

Cohen's d takes into account the standard error and the t-statistic does not correct incorrect

Cohen's d is not directly influenced by sample size but the t-statistic is correct incorrect

Cohen's d compares the difference in standard deviation between the two groups instead of means correct incorrect

Cohen's d must be large if the t-statistic is small correct incorrect

* not completed

. What is the Cohen's d?

2 correct incorrect

1 correct incorrect

.5 correct incorrect

-2 correct incorrect

* not completed

. How is eta-squared best defined?

It tells you whether a result is statistically significant. correct incorrect

It determines the size of the effect a dependent variable has on the independent variable. correct incorrect

It determines the proportion of variability explained by an independent variable on a dependent variable. correct incorrect

It an effect size for each level of your independent variable in an ANOVA. correct incorrect

* not completed

. Which of the following accurately describes effect sizes in relation to statistical significance?

Statistically significant results always have large effects. correct incorrect

Results that are not statistically significant cannot have large effects. correct incorrect

Large effects in reality are more likely to be statistically significant. correct incorrect

Statistical significance and effect sizes are not related at all. correct incorrect

* not completed

. Which of the following best describes the outcome of the ANOVA?

The effect is significant. correct incorrect

The effect is not significant and the effect size is small. correct incorrect

The effect is not significant but there is a large effect. correct incorrect

The effect is significant and the effect is small. correct incorrect

* not completed

.

Take a look at source table below.

Source	SS	df	MS	F
SSeffect	9982.1	2	4991.1
SSerror	39284.8	33	1190.4

What is the eta-squared?

.25 correct incorrect

3.77 correct incorrect

.75 correct incorrect

.01 correct incorrect

* not completed

.

Using the source table below to answer the next two questions.

Source	SS	df	MS	F
Factor 1	1129.3	1	1129.3	0.49
Factor 2	2841.9	2	1420.95	2.59
Factor 1*Factor 2	4237.5	2	2118.75	3.37
Error	19982.5	11	1816.59

How many partial eta-squared can you obtain for this data?

1 correct incorrect

2 correct incorrect

3 correct incorrect

4 correct incorrect

* not completed

. The partial eta squared for factor 1 is __________, for factor 2 it is __________,

.05; .12 correct incorrect

.05; .14 correct incorrect

.62; .78 correct incorrect

.49; 2.59 correct incorrect

* not completed

.

Using the source table below to answer the next two questions.

Source	SS	df	MS	F
Factor 1	1129	1
Factor 2	93421	2
Factor 1*Factor 2	17298	2
Error	469283	30

What is the partial eta-squared for each effect?

Factor 1: .02; Factor 2: .17; Interaction: .04 correct incorrect

Factor 1: .02; Factor 2: .20; interaction: .04 correct incorrect

Factor 1: .03; Factor 2: .06; Interaction: .06 correct incorrect

Insufficient information correct incorrect

* not completed

. If only one effect was statistically significant, which effect would it most likely be?

Main effect of Factor 1 correct incorrect

Main effect of Factor 2 correct incorrect

Interaction of Factor 1 and Factor 2 correct incorrect

All of the effects have equal probabilities of being significant, given the data provided. correct incorrect

* not completed

. Which of the following best describes the state of the current research practices with statistics?

Inclusion of confidence intervals and effect sizes have generally been found to confuse readers more correct incorrect

Inclusion of confidence intervals and effect sizes have become increasingly common correct incorrect

Inclusion of confidence intervals and effect sizes have replaced statistical significance completely correct incorrect

Inclusion of confidence intervals and effect sizes have been used as a way of decreasing the necessary sample sizes for researchers correct incorrect

* not completed

. Which of the following is not a point estimate.

the mean of the sample correct incorrect

the confidence interval of the mean of a sample correct incorrect

the eta-squared of an effect correct incorrect

the standard deviation of the sample correct incorrect

* not completed

. If the confidence interval has high precision, which of the following is most likely true?

the true population parameter lies within the confidence interval correct incorrect

the true population parameter lies outside the confidence interval correct incorrect

the confidence interval has a very narrow range correct incorrect

the confidence interval has a very wide range correct incorrect

* not completed

. Which of the following is true when comparing point estimates to confidence intervals?

Intervals can be more useful as point estimates can risk having low precision. correct incorrect

Confidence intervals and point estimates are used to estimate different parameters that do not overlap. correct incorrect

Point estimates are used for qualitative data and confidence interval are used for quantitative data. correct incorrect

Point estimates tend to have much higher precision, because confidence intervals are used only when precision is low. correct incorrect

* not completed

.

Using the description below to answer the next two questions.

A pediatrician collected data on the length of time children take to recover from the common cold. Suppose that µ = 4 and σ = 8. In a sample of 49 children, she found that the mean number of days spent recovering was 5.505.

Construct a 95% confidence interval around the estimation of the population mean.

3.5 – 7.5 correct incorrect

1.58 – 9.42 correct incorrect

3.26 – 7.75 correct incorrect

2 – 6 correct incorrect

* not completed

. Which of the following can the doctor conclude?

The true population difference likely lies between the confidence interval correct incorrect

The sample that was collected differs significant from expectation correct incorrect

There was no evidence to suggest that the sample differed significantly from the population mean correct incorrect

The population confidence interval is likely estimated by the sample confidence interval correct incorrect

* not completed

. In general, when you go from a 90% confidence interval to a 95% confidence interval, what happens?

The interval range becomes narrower because it is more precise. correct incorrect

The interval range becomes wider and it is less precise. correct incorrect

The interval because more precise but the range does not change. correct incorrect

The interval becomes more precise, but how the range changes cannot be known before hand. correct incorrect

* not completed

. A researcher calculates a 95% confidence interval for mean differences in her data. She finds the confidence interval does not contain 0. Which of the following is not true?

The mean difference is statistically significant at the .05 level correct incorrect

The mean difference is not statistically significant at the .05 level correct incorrect

The mean difference is significant might not be significant at the .01 level correct incorrect

The mean difference has a large effect correct incorrect

* not completed

. Cohen's d tells us...

the variability of the data correct incorrect

the size of the difference between two means correct incorrect

the strength of the relationship between two variables correct incorrect

the odds of the independent variable having an effect on the dependent variable, taking into account the size of the sample correct incorrect

* not completed

. Thinking about the formula between Cohen's d and the t-statistic, which of the following is true?

Cohen's d takes into account the standard error and the t-statistic does not correct incorrect

Cohen's d is not directly influenced by sample size but the t-statistic is correct incorrect

Cohen's d compares the difference in standard deviation between the two groups instead of means correct incorrect

Cohen's d must be large if the t-statistic is small correct incorrect

* not completed

. How is eta-squared best defined?

It tells you whether a result is statistically significant. correct incorrect

It determines the size of the effect a dependent variable has on the independent variable. correct incorrect

It determines the proportion of variability explained by an independent variable on a dependent variable. correct incorrect

It an effect size for each level of your independent variable in an ANOVA. correct incorrect

* not completed

. Which of the following accurately describes effect sizes in relation to statistical significance?

Statistically significant results always have large effects. correct incorrect

Results that are not statistically significant cannot have large effects. correct incorrect

Large effects in reality are more likely to be statistically significant. correct incorrect

Statistical significance and effect sizes are not related at all. correct incorrect

* not completed

. Which of the following best describes the outcome of the ANOVA?

The effect is significant. correct incorrect

The effect is not significant and the effect size is small. correct incorrect

The effect is not significant but there is a large effect. correct incorrect

The effect is significant and the effect is small. correct incorrect

* not completed

. What is the eta-squared?

.25 correct incorrect

3.77 correct incorrect

.75 correct incorrect

.01 correct incorrect

* not completed

. How many partial eta-squared can you obtain for this data?

1 correct incorrect

2 correct incorrect

3 correct incorrect

4 correct incorrect

* not completed

. The partial eta squared for factor 1 is __________, for factor 2 it is __________,

.05; .12 correct incorrect

.05; .14 correct incorrect

.62; .78 correct incorrect

.49; 2.59 correct incorrect

* not completed

. What is the partial eta-squared for each effect?

Factor 1: .02; Factor 2: .17; Interaction: .04 correct incorrect

Factor 1: .02; Factor 2: .20; interaction: .04 correct incorrect

Factor 1: .03; Factor 2: .06; Interaction: .06 correct incorrect

Insufficient information correct incorrect

* not completed

. If only one effect was statistically significant, which effect would it most likely be?

Main effect of Factor 1 correct incorrect

Main effect of Factor 2 correct incorrect

Interaction of Factor 1 and Factor 2 correct incorrect

All of the effects have equal probabilities of being significant, given the data provided. correct incorrect

* not completed

. How are confidence intervals and inferential tests like the t-test related?.

they are both used to tell the researcher the size of effects correct incorrect

they can both test for statistical significance correct incorrect

they are both used to measure the amount of variability there are in the population correct incorrect

they are both used to make estimates about the sample based on population data correct incorrect

* not completed

. Which of the following best describes the state of the current research practices with statistics?

Inclusion of confidence intervals and effect sizes have generally been found to confuse readers more correct incorrect

Inclusion of confidence intervals and effect sizes have become increasingly common correct incorrect

Inclusion of confidence intervals and effect sizes have replaced statistical significance completely correct incorrect

Inclusion of confidence intervals and effect sizes have been used as a way of decreasing the necessary sample sizes for researchers correct incorrect

* not completed

.

A scientist is examining how children in a special education program compare to age-matched peers. She collects information about their emotional adjustment. On this standardized measure, the population average is 8 with a standard deviation of 1. Higher scores indicate better adjustment. In the sample 25 special education students, she finds that the mean is 6.

What is Cohen's d?

2 correct incorrect

1 correct incorrect

.5 correct incorrect

.-2 correct incorrect