Which of the following research situations would be most likely to use an independent sample t

Which of the following research situations is most likely to use an independent-samples design?

  1. Evaluate the effectiveness of a diet program by measuring how much weight is lost during 4 weeks of dieting
  2.   evaluate the  development of verbal skills from each 22 H3 for a sample of girls measured over time
  3.  evaluate the difference in verbal skills between 3 year old girls and 3 year old boys
  4.  evaluate the effectiveness of cholesterol medication by comparing cholesterol levels before and after the medication

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t Test, Independent Samples

An independent samples t test is a hypothesis test for determining whether the population means of two independent groups are the same. The researcher begins by selecting a sample of observations and estimates the population mean of each group from the sample means. The researcher then compares these two sample means via the formula

where

1 is the sample mean of group 1,
2 is the sample mean of group 2, s2p is the pooled estimate of variance (formula given in the example problem), n1 is the sample size of group 1, and n2 is the sample size of group 2. This t value can then be used to determine the likelihood that any difference between the two sample means is real versus caused by chance.

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1A) For which of the following scenarios would it be appropriate to use a one-sample z-test? - Comparing the number of packs of cigarettes smoked per day by a sample of residents of rural areas with the number of cigarettes smoked per day by all persons in the USA - Comparing the results of Likert scale patient satisfaction scores of patients at the VA against the Likert scale patient satisfaction scores of the overall population of patients - Comparing political affiliation scores (ranging from 0-20) of ASU students against the political affiliation scores of all college students - Comparing the average weight of newborns in Hospital A to the average weight of newborns in Hospital B 1B) Which of the following is not true about measures of effect? -You can compare measures of effects from different studies with the same outcome measure -They are affected by sample size -there are many different types of measures of effect -they aid in the interpretation of statistical results 1C) The purpose of the one-sample test is: (choose one or more) - Determine the probability that two groups are the same with respect to a particular variable -To examine the difference between one group and a population -To compare a test statistic to alpha -Compare two groups on a variable that is interval/ratio in measure 1C) Which of the following are assumptions of a one-sample test? (choose one or more) - ordinal or nominal scale of measurement - Interval or ratio scale of measurement - normal distribution of data - random sampling or selection 1D) How do we interpret Cohen's D of .61? - medium effect - small effect - No answer text provided. - large effect 1E) Which of the following is/are true about the standard error of the mean? (choose one or more) - It is a measure of variance - It is larger than the standard deviation of the population - It gets larger as sample size gets smaller - =population standard deviation divided by the square root of sample size

Which of the following research situations would be most likely to use an independent sample t test?

Uses. The independent samples t test is appropriate whenever the researcher wants to know whether two population group means are different and when the observations in each of the groups are independent of the observations in the other group.

Which of the following research situations would be most likely to use an independent

Which of the following research situations would be most likely to use an independent-measures design? Compare the blood-pressure readings before medication and after medication for a group of patients with high blood pressure.

Which of the following is the correct null hypothesis for an independent samples t test?

Independent samples t tests have the following hypotheses: Null hypothesis: The means for the two populations are equal. Alternative hypothesis: The means for the two populations are not equal.

When the sample sizes are equal the pooled variance of the two samples is the weighted average of the two sample variances?

The answer is True. When the sample sizes are equal the pooled variance is the average of the two sample variances.

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