A repeated-measures study with a sample of n 16 participants produces a mean difference of Mp...
A random sample of n = 12 individuals is selected from a population with µ = 70, and a treatment is administered to each individual in the sample. After treatment, the sample mean is found to be M = 74.5 with SS = 297. Use the Distributions tool to help answer the questions that follow. t Distribution Degrees of Freedom = 21 -3.0-2.0-1.00.01.02.03.0x.5000.50000.000 QUESTION: How much difference is there between the mean for the treated sample and the mean for...
For either independent-measures or repeated-measures designs comparing two treatments, the mean difference can be evaluated with either at test or an ANOVA. The two tests are related by the equation F=12. The following data are from a repeated-measures study: Person Difference Scores 3 I 4 2 3 7 M = 4.00 T = 16 SS = 14 Treatment II 7 11 6 10 M 8.50 T-34 SS = 17 3 3 Mo 4.50 SS = 27.00 Use a repeated-measures t...
A random sample of n - 16 scores is selecdted from a normal population with a mean of p - 50. After atreatment is administered to the individuals in the sample, the sample mean is found to be M -54 If the population standard deviation is σ-8, is the sample mean sufficient to conclude that the treatment has a significant effect? Use a two-tailed test with α-.05. (Hint: Recall that the critical value for a two-tailed test with α-.05 is...
A researcher obtains t = 2.25 for a repeated-measures study using a sample of n = 10 participants. Based on this t value, what is the correct decision for a two-tailed test? Reject the null hypothesis with a -.05 Reject the null hypothesis with a -01 Fail to reject the null hypothesis with a - .05 Cannot determine without additional information
To test the effectiveness of a treatment, a sample of n = 36 people is selected from a normal population with mean of μ = 60. After the treatment is administered to the individuals in the sample, the sample mean is found to be M = 55. (a) If the population standard deviation is σ = 13, can you conclude that the treatment has a significant effect? Use a two-tailed test with α = 0.05. (Round your answers to two...
An independent-measures research study uses two samples, each with n = 10 participants. If the data produce at statistic of t = 2.095, which of the following is the correct decision for a two-tailed hypothesis test? Reject the null hypothesis with a = .05 Reject the null hypothesis with a - .01 O Fail to reject the null hypothesis with a - .05 Cannot answer
Which of the following statements describe a Type II error? astion 11 yet swered rked out of Flag estion Select one: a. Stating that there was an effect when actually there was no effect. O b. Stating that there was no effect when in fact there was an effect. c. Saying that a person is guilty as charged when in fact the person is innocent O d. A researcher rejects a true null hypothesis. RE ion 12 Confidence intervals are...
Attempts:Keep the Highests 4. Sample size, statistical significance, and practical importance Cities across the country are passing higher minimum wages, increasing the discrepancy between the wages in the dity and those in the suburbs. Suppose you are interested in the relationship between unemployment duration in the city and the surrounding suburbs in areas where the dites have minimum wages that are at least $3 higher than the minimum wages of the surrounding suburbs. The results are shown in the following...
Capter question 17 Aa Aa A random sample of n 8 scores is obtained from a population with a mean of μ administered to the individuals in the sample, the sample mean is found to be M 50. After a treatment is 55. t Distribution Degrees of Freedom 21 ,250 2500 -3.0 -2.0 0.0 1.0 2.0 3.0 0:686 0.686 Assuming that the sample variance is s2 32, use a two-tailed hypothesis test with α = .05 to deter mine whether...
In hypothesis testing for a population mean, the term "significant difference" implies a: A) difference between the sample mean and the hypothesized population mean that leads to the rejection of the null hypothesis. B) difference between the test statistic and the critical region. C) difference between the one-sided test and the two-sided test. D) difference between the sample standard deviation and the population standard deviation.