A related samples t test is conducted when comparing ______. Group of answer choices a. means...
A related samples t test is conducted when comparing ______.
Group of answer choices a. means from two different samples b. your sample mean from the population mean c. means from same samples but in different situations d. means from three different samples
Homework Answers
A related sample t test is conducted when comparing c)MEANS FROM SAME SAMPLES BUT IN DIFFERENT SITUATIONS .
When we compare means of two sets of observations on same set of subjects , we use related sample t test
For example when we compare mean score of 10 students before and after special coaching given to them, we use related sample t test . Here different situations are before coaching and after coaching .
a) means from two different samples : independent sample t test
b) sample mean from population mean - one sample t test
d) means from three different samples - F test
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A related samples t test is conducted when comparing ______.
Group of answer choices a. means...
1. When do we use an independent groups t-test? a. b. c. d. When we are...
1. When do we use an independent groups t-test? a. b. c. d. When we are comparing means from one sample that has been measured twice. When we are comparing means from two different samples. When we are comparing a sample mean to a population mean. When we are comparing two population means. 2. Which of the following is true regarding the use of t-tests for true experiments versus quasi-experimental designs? a. b. We use the same t-test whether it...
When you conduct a t test for independent means, ____. Group of answer choices you reject...
When you conduct a t test for independent means, ____. Group of answer choices you reject the null hypothesis if the t score is more extreme than the cutoff (criterion) t score you need to make sure that the medians of the two populations are equal you need to make sure that the two sample sizes are exactly the same you should only use an alpha level of .01 because of the lower power of this test compared to dependent-means...
19) ANOVA F test was conducted to test whether the means of three groups are the...
19) ANOVA F test was conducted to test whether the means of three groups are the same against at least one group mean is different. The total number of subjects in three samples were 30. The Fratio (test statistics) was 4.25 a) What is the p-value? b) What is your conclusion at 5% significance level? Are all group means the same?
Question 14 2 pts Researchers conducted an independent samples t-test and then reported a Cohen's d...
Question 14 2 pts Researchers conducted an independent samples t-test and then reported a Cohen's d value for the test of 0.2. What is true of the two sample means? The distributions of the two sample means have a very small overlap. The two sample means are 0.2 standard deviations apart. The two samples means are not significantly different. The two samples do not likely come from the same distribution.
You are most likely to use an independent-samples t-test analysis when your study ____ A) none...
You are most likely to use an independent-samples t-test analysis when your study ____ A) none of the other alternatives are correct B) uses the same sample for the two different treatment conditions C) uses the data from one sample to evaluate a hypothesis about the population mean D) uses two different samples for two different treatment conditions being compared
19) ANOVA F test was conducted to test whether the means of five groups are the...
19) ANOVA F test was conducted to test whether the means of five groups are the same against at least one group mean is different. The total number of subjects in five samples were 25. The F ratio (test statistics) was 5.35 a) What is the p-value? (give four decimal places) b) What is your conclusion at 1% significance level? Are all group means the same? In a certain large state prison, the age of prison population is normally distributed with...
Test the indicated claim about the means of two populations. Assume that the two samples are...
Test the indicated claim about the means of two populations. Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal. Use the traditional method or P-value method as indicated. A researcher was interested in comparing the response times of two different cab companies. Companies A and B were each called at 50 randomly selected times. The calls to company A were made independently of the...
Pick the correct answer A-The key characteristic to distinguish between using a T test and a...
Pick the correct answer A-The key characteristic to distinguish between using a T test and a Z test is: Group of answer choices i)whether the sample is normally distributed ii)whether μ is known iii)sample size iv)whether σ is known B- A sampling distribution of means is: i)used for estimating a sample mean ii)tends to be skewed iii)sometimes based on different sized samples. iv)used for estimating population means C-Parameter is to population as statistic is to: i)sampling ii)inferential iii)sample iv) class...
comparing the means of twoindependent population when the population variances are known andunknown1....
Comparing the means of two
independent population when the population variances are known and
unknownSuppose you conduct a study and intend to use a hypothesis test to compare the means of two independent populations. Your null hypothesis is that the two means are equal. That is, \(\mathrm{H}_{0}: \mu_{1}=\mu_{2}\), or equivalently, \(\mathrm{H}_{0}: \mu_{1}-\mu_{2}=0\). Following is a table of the information you gather. Assume the populations from which your samples are drawn are both normally distributed.Sample SizeSample MeanSample VarianceSample 1n_(1)=41bar(x)_(1)=14.3s_(1)^(2)=67.24Sample 2n_(2)=21bar(x)_(2)=13.6s_(2)^(2)=46.24
In order to compare the means of two populations, independent random samples of 400 observations are...
In order to compare the means of two populations, independent random samples of 400 observations are selected from each population, with the results found in the table to the right. Complete parts a through e below. Sample 1 overbar x = 5,305 s1= 154 Sample 2 overbar x = 5,266 s2 = 199 a. Use a 95% confidence interval to estimate the difference between the population means (mu 1 - mu 2). Interpret the confidence interval. The confidence interval is...
1. When do we use an independent groups t-test? a. b. c. d. When we are comparing means from one sample that has been measured twice. When we are comparing means from two different samples. When we are comparing a sample mean to a population mean. When we are comparing two population means. 2. Which of the following is true regarding the use of t-tests for true experiments versus quasi-experimental designs? a. b. We use the same t-test whether it...
19) ANOVA F test was conducted to test whether the means of three groups are the same against at least one group mean is different. The total number of subjects in three samples were 30. The Fratio (test statistics) was 4.25 a) What is the p-value? b) What is your conclusion at 5% significance level? Are all group means the same?
Question 14 2 pts Researchers conducted an independent samples t-test and then reported a Cohen's d value for the test of 0.2. What is true of the two sample means? The distributions of the two sample means have a very small overlap. The two sample means are 0.2 standard deviations apart. The two samples means are not significantly different. The two samples do not likely come from the same distribution.
Comparing the means of two
independent population when the population variances are known and
unknownSuppose you conduct a study and intend to use a hypothesis test to compare the means of two independent populations. Your null hypothesis is that the two means are equal. That is, \(\mathrm{H}_{0}: \mu_{1}=\mu_{2}\), or equivalently, \(\mathrm{H}_{0}: \mu_{1}-\mu_{2}=0\). Following is a table of the information you gather. Assume the populations from which your samples are drawn are both normally distributed.Sample SizeSample MeanSample VarianceSample 1n_(1)=41bar(x)_(1)=14.3s_(1)^(2)=67.24Sample 2n_(2)=21bar(x)_(2)=13.6s_(2)^(2)=46.24
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