When is the null hypothesis rejected?

the p value is smaller than the p level chosen

the sample mean is smaller than the population mean

the sample mean is larger than the population mean

the p value is greater than the p level chosen

What does hypothesis testing tell us?

what results are significant, but no detail regarding significant results

what results are significant and gives us details regarding significant results

whether two distributions overlap

which group differences are of practical importance

As sample size increases...

the test statistic does not change

When comparing study results, why is the effect size used?

because effect sizes are not affected by sample mean and ensures a fair comparison

it's easier to average effect size than it is to average test statistic

because effect sizes account for sample size, which ensures an accurate comparison

because effect sizes are based on standard error while test statistics are based on standard deviation

What is statistical power?

the ability to reject the null hypothesis given that the null hypothesis is false

the ability to reject the null hypothesis given that the null hypothesis is true

the ability to fail to reject the null hypothesis given that the null hypothesis is true

the ability to fail to reject the null hypothesis given that the null hypothesis is false

What is a practical use of statistical power?

it informs the researchers how many participants are needed to conduct a study with findings they can trust

it informs the researchers whether they will find significant results

it informs whether they will find important results

it informs the researchers what effect size they can expect to find in conducting their study

When should you use the t statistic?

when the population mean is known but the population standard deviation is not know

when the population mean is not known but the population standard deviation is known

when sample mean is known but the population standard deviation is not know

when sample mean is not known but the population standard deviation is known

When estimating the population standard deviation, why do we divide by N – 1?

because the sample standard deviation is likely to be an imprecise estimate, we allow the error of the estimate (the standard deviation) to be larger by dividing the sum of squares by a smaller number

because the population is always smaller than the sample, we must divide by a smaller number

the sample standard deviation is a superior estimate of the variability in the population than is the population standard deviation

we typically have to throw out at least one data point in any given study, so the N - 1 allows us to account for that

What is true about the test statistic and few degrees of freedom?

the test statistic needs to be more extreme to reject the null hypothesis

the test statistic becomes more reliable

the test statistic should be z test rather than a t test

the test statistic needs to be less extreme to reject the null hypothesis

How can we know whether the results are likely to be accurate?

if we get the same results across different samples

if we get the different results across different samples

if we get the same results across the similar samples

if we get the different results across similar samples

In a paired-sample t test, the sample mean difference is compared to:

distribution of mean differences

In a paired-samples t test, the null hypothesis posits that the mean of the comparison distribution is what?

the same as whatever the mean of the population is

What would the decision be for the following paired-samples t test: t(30) = 3.52, p < 0.05

fail to reject the research hypothesis

fail to reject the null hypothesis

APA encourages reporting what information for a paired-samples t test?

effect sizes and confidence intervals

it doesn't matter which you report

What do we do if our data falls outside the confidence interval?

it depends on how big our data point is

we cannot make a decision based off the confidence interval

A paired-samples t test is reported as t(25) = 1.927, p > 0.05, d = 0.8. What is the effect size?

we cannot determine the effect size here

What is counterbalancing?

minimizes order effects by varying the order of exposing the way the condition is complete

increases order effects by varying the order of exposing the way the condition is complete

increase practice effects by varying the order of exposing the way the condition is complete

minimizes practices effects by varying the order of exposing the way the condition is complete

When should you use an paired-samples t test?

to analyze data from many studies and make before/after comparisons

when we know the population mean, but not the standard deviation

to compare two means in a between-groups design

when we want to know the distribution of means

You are doing chores to earn money. For each chore you complete, you earn $5. What is the dependent variable?

how long the chore takes you to complete

Square root of variance is equal to...

square root of standard deviation

square root of variance + standard deviation

Bayesian statistics help us...

take into account both prior beliefs and probabilities

calculate effect size for an independent-samples t test

Psyc 210 E2 Review

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Psyc 210 E2 Review

Quiz

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Mathematics

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University

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Practice Problem

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Easy

•

CCSS

HSS.ID.A.4, HSS.IC.B.4, 6.SP.B.5D

Standards-aligned

Makenzie Jacobson

Used 13+ times

FREE Resource

47 questions

Show all answers

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do you compute a person's percentile?

convert the person's raw score to a z score

convert the person's normalized score to a z score

convert the person's z score into a raw score

convert the person's z score into a normalized score

Tags

CCSS.HSS.ID.A.4

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A z score the mean will always be

below; positive

above; negative

equal to; zero

equal to; negative

OPEN ENDED QUESTION

5 mins • 1 pt

What proportion of a normal distribution corresponds to a z score less than 1.25?

Evaluate responses using AI:

OFF

Tags

CCSS.HSS.ID.A.4

OPEN ENDED QUESTION

5 mins • 1 pt

Suppose the average score on a standardized test for a population is 100 with a standard deviation of 15. A sample of 36 students takes the test, and their average score is 105. Calculate the z-statistic for this sample mean and determine the percentage of means that would fall below this sample mean

Evaluate responses using AI:

OFF

Tags

CCSS.HSS.ID.A.4

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

What is the difference between a z score and z statistic?

the z score compares the group mean to the population while the z statistic indicates how far away a data point deviates from the mean

the z score indicates how for away a data point deviates from the mean while the z statistic compares the group mean to a population

Tags

CCSS.HSS.ID.A.4

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

p level is also called...

alpha

beta

varaibility

central tendency

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

What does it mean for a hypothesis test to be robust?

when it produces fairly accurate results, even if the assumptions underlying the hypothesis test are violated

when it produces fairly inaccurate results because the assumptions underlying the hypothesis are violated

when it produces fairly accurate results, even if the assumptions underlying the hypothesis are not violated

when it produces fairly inaccurate results because the assumptions underlying the hypothesis are not violated

Tags

CCSS.6.SP.B.5D

CCSS.HSS.ID.A.2

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Psyc 210 E2 Review

47 questions

How do you compute a person's percentile?

A z score the mean will always be

What proportion of a normal distribution corresponds to a z score less than 1.25?

What is the difference between a z score and z statistic?

p level is also called...

What does it mean for a hypothesis test to be robust?

When is the null hypothesis rejected?

I hypothesize there will be a difference between in cold symptoms for two groups: A who took medicine and B who did not. Is this the research or null hypothesis?

The critical value(s) associated with a p level of 0.10 for a one tailed hypothesis test using the z statistic is (are):

Access all questions and much more by creating a free account

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Popular Resources on Wayground

Discover more resources for Mathematics

Psyc 210 E2 Review

47 questions

How do you compute a person's percentile?

A z score ____ the mean will always be ____

What proportion of a normal distribution corresponds to a z score less than 1.25?

What is the difference between a z score and z statistic?

p level is also called...

What does it mean for a hypothesis test to be robust?

When is the null hypothesis rejected?

I hypothesize there will be a difference between in cold symptoms for two groups: A who took medicine and B who did not. Is this the research or null hypothesis?

The critical value(s) associated with a p level of 0.10 for a one tailed hypothesis test using the z statistic is (are):

Access all questions and much more by creating a free account

Similar Resources on Wayground

Popular Resources on Wayground

Discover more resources for Mathematics

A z score the mean will always be