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Comparing Research with Expected Score MCQ

One sample t test is an inferential statistic that compares a sample mean to a known population mean.

True

False

Answer

Correct Answer: True

Note: This Question is unanswered, help us to find answer for this one

A statistical test used to calculate the effect size for a one-sample t test is ______.

Adams d

Lawrence a

Cohen’s d

Alpha r

Answer

Correct Answer: Cohen’s d

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Assumptions of the one-sample t test include all except ______.

Ordinal or ratio data

Normally distributed population

Availability of the population mean (µ)

Sample size of 30 or less

Answer

Correct Answer: Ordinal or ratio data

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The 95% confidence interval tells the researcher ______.

The interval in which 95% of values for a variable fall

The interval in which you can expect the difference between the sample mean and population mean to fall 95% of the time

How confident the researcher can be that the results are true

95% of the time the researcher will find the same results

Answer

Correct Answer: The interval in which you can expect the difference between the sample mean and population mean to fall 95% of the time

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In a study comparing the anxiety scores of college athletes to the average for college students, you find h2 = .20. You interpret this to mean ______.

There is a significant difference between the anxiety scores of the athletes and those of most college students

There is not a significant difference between the anxiety scores of the athletes and those of most college students

The effect size is weak

Twenty percentage of the variability in the athletes’ anxiety scores are accounted for by their group membership

Answer

Correct Answer: Twenty percentage of the variability in the athletes’ anxiety scores are accounted for by their group membership

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A study compares the average salary for a sample of assistant professors at a small private college with the national average for assistant professors and finds t(30) = –5.16, p = .006, d = .32. The probability of a Type I error is ______.

.6%

32%

There is no probability of a Type I error.

Answer

Correct Answer: .6%

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The one-sample t test is computed by ______.

Subtracting the population mean from the sample mean and dividing by the standard deviation of the sample

Subtracting the sample mean from the population mean and dividing by the standard deviation of the sample

Subtracting the population mean from the sample mean and dividing by the estimated standard error of the means

Subtracting the population mean from the sample mean and dividing by the standard error of the means

Answer

Correct Answer: Subtracting the population mean from the sample mean and dividing by the estimated standard error of the means

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Suppose you compare the average time spent on household chores and childcare by a sample of single moms with preschoolers to the national average for all women with children. You find t(25) = 2.80, p = .01. What can you conclude?

Single moms with preschoolers spend significantly more time on household chores and childcare than the national average for all moms.

Single moms with preschoolers spend significantly less time on household chores and childcare than the national average for all moms.

There is no significant difference in the amount of time spent on household chores and childcare between single moms and the national average.

There is a significant difference between the amount of time single moms with preschoolers spend on household chores and childcare and the national average for all women with children.

Answer

Correct Answer: There is a significant difference between the amount of time single moms with preschoolers spend on household chores and childcare and the national average for all women with children.

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If a one-sample t test is significant, what information do you need to interpret whether a sample score is significantly higher or lower than an expected score or average?

Either Cohen’s d or eta square

The exact p value from the t test

The M of the sample and the expected score or value

The skewness value for the sample distribution

Answer

Correct Answer: The M of the sample and the expected score or value

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If the obtained t value is than the critical t value, you the null hypothesis.

Greater; reject

Less; reject

Greater; accept

Less; accept

Answer

Correct Answer: Greater; reject

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A study compares the average salary for a sample of assistant professors at a small private college with the national average for assistant professors and finds t(30) = –5.16, p = .006, d = .32. You can interpret this to mean ______.

There is a large effect size with the college accounting for 32% of the variability in assistant professors’ salaries

There is no significant difference between the sample’s salaries and the national average

There is a small effect size for the college

Assistant professors at small colleges are overpaid

Answer

Correct Answer: There is a small effect size for the college

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Standard error of means is standard deviation of the sampling distribution of means.

True

False

Answer

Correct Answer: True

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The percentage of variability in a measured variable which is accounted for by the grouping variable. It is used as a measure of effect size in studies analyzed with an ANOVA is called eta squared

True

False

Answer

Correct Answer: True

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Estimate standard error of the means is estimated standard deviation of the sampling distribution of means that is used to calculate the ___test.

Answer

Correct Answer: T

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Determined by the sample size; number of scores free to vary in a sample is called degree of ___

Position

Freedom

Time

All of these

Answer

Correct Answer: Freedom

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An estimation of the range of values within which the scores will fall (margin of error) is called

Confidence interval

Time interval

Cost interval

All of these

Answer

Correct Answer: Confidence interval

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Comparing Research with Expected Score MCQ

One sample t test is an inferential statistic that compares a sample mean to a known population mean.

A statistical test used to calculate the effect size for a one-sample t test is ______.

Assumptions of the one-sample t test include all except ______.

The 95% confidence interval tells the researcher ______.

In a study comparing the anxiety scores of college athletes to the average for college students, you find h2 = .20. You interpret this to mean ______.

A study compares the average salary for a sample of assistant professors at a small private college with the national average for assistant professors and finds t(30) = –5.16, p = .006, d = .32. The probability of a Type I error is ______.

The one-sample t test is computed by ______.

Suppose you compare the average time spent on household chores and childcare by a sample of single moms with preschoolers to the national average for all women with children. You find t(25) = 2.80, p = .01. What can you conclude?

If a one-sample t test is significant, what information do you need to interpret whether a sample score is significantly higher or lower than an expected score or average?

If the obtained t value is ______ than the critical t value, you ______ the null hypothesis.

A study compares the average salary for a sample of assistant professors at a small private college with the national average for assistant professors and finds t(30) = –5.16, p = .006, d = .32. You can interpret this to mean ______.

Standard error of means is standard deviation of the sampling distribution of means.

The percentage of variability in a measured variable which is accounted for by the grouping variable. It is used as a measure of effect size in studies analyzed with an ANOVA is called eta squared

Estimate standard error of the means is estimated standard deviation of the sampling distribution of means that is used to calculate the ___test.

Determined by the sample size; number of scores free to vary in a sample is called degree of ___

An estimation of the range of values within which the scores will fall (margin of error) is called

If the obtained t value is than the critical t value, you the null hypothesis.