independent-measures experiment comparing three different treatment conditions. Treatment 1 Treatment 2 Treatment 3 0 1 4 0 4 3 0 1 6 2 0 3 Your conclusion: choose a number. reject the null hypothesis (1) fail to reject the null hypothesis (2)
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The data below are from an independent-measures experiment comparing three different treatment conditions.
| Treatment 1 | Treatment 2 | Treatment 3 |
| 0 | 1 | 4 |
| 0 | 4 | 3 |
| 0 | 1 | 6 |
| 2 | 0 | 3 |
Your conclusion: choose a number.
reject the null hypothesis (1)
fail to reject the null hypothesis (2)
Step by step
Solved in 2 steps with 2 images
- What is meant by the sample space of an experiment?What is an experiment?The following data summarize the results from an independent-measures study comparing three treatment conditions. Treatment I II III N = 12 3 5 6 G = 60 5 5 10 ∑X2 = 392 3 1 10 1 5 6 x̅1 = 3 x̅2 = 4 x̅3 = 8 T1 = 12 T2 = 16 T3 =32…
- Given the information for experiment 1, what is the null hypothesis, standard error, z-critical, and z-observed?The following data summarize the results from an independent-measures study comparing three treatment conditions. Treatment I II III N = 12 4 3 8 G = 48 3 1 4 ∑X2 = 238 5 3 6 4 1 6 x̅1 = 4 x̅2 = 2 x̅3 = 6 T1 = 16 T2 = 8 T3 = 24…An independent-measures research study uses n = 15 participants in one group and n = 12 participants in a second group to compare two treatment conditions. What is the df value for the t statistic computed for the corresponding hypothesis test?
- Independent random samples of 32 people living on the west side of a city and 30 people living on the east side of a city were taken to determine if the income levels of west side residents are significantly different from the income levels of east side residents. Given the testing statistics below, determine if the data provides sufficient evidence to conclude that the income levels of west side residents are significantly different from the income levels of east side residents, at the 2% significance level. H0:μw=μeHa:μw≠μe t0=2.364 t0.01=±2.099 Select the correct answer below: No; the test statistic is not between the critical values. No; the test statistic is between the critical values. Yes; the test statistic is not between the critical values. Yes; the test statistic is between the critical values.Independent random samples of 31 people living on the west side of a city and 25 people living on the east side of a city were taken to determine if the income levels of west side residents are greater than the income levels of east side residents. Given the testing statistics below, determine if the data provides sufficient evidence to conclude that the income levels of west side residents are greater than the income levels of east side residents, at the 2% significance level. H0:μw≤μeHa:μw>μe t0=0.511 t0.02=2.104 Select the correct answer below: Yes; the test statistic is greater than the critical value. No; the test statistic is greater than the critical value. No; the test statistic is less than the critical value. Yes; the test statistic is less than the critical value.The folowing data are from an independent-measures experiment comparing two treatment conditions. Use an alpha of .05 to test the hypothesis. treatment 1 treatment 2 13 9 9 5 7 5 11 9
- An automobile mileage study tested the following hypotheses. Hypothesis Conclusion H0: µ 25 mpg Manufacturer’s claim supported Ha: µ 25 mpg Manufacturer’s claim rejected; average mileage per gallon less than stated For σ 3 and a .02 level of significance, what sample size would be recommended if the researcher wants an 80% chance of detecting that µ is less than 25 miles per gallon when it is actually 24?For the given value of α and observed significance level (p -value), indicate whether the null hypothesis would be rejected.α = 0.01, p- value = 0.09 Reject H0 Fail to reject H0Use the following table to determine whether or not there is a significant difference between the average hourly wages at two manufacturing companies. Assume a level of significance of 0.05. Manufacturer 1 Manufacturer 2 n1 = 81 n2 = 64 X⎯⎯⎯1=$15.80X¯1=$15.80 X⎯⎯⎯2=$15.00X¯2=$15.00 σ1 = $3.00 σ2 = $2.25 What conclusion should we draw based on the sample evidence? Multiple Choice Fail to reject the null hypothesis and conclude the means are equal. Reject the null hypothesis and conclude the means are different. Reject the alternate hypothesis and conclude the means are equal. Fail to reject the null hypothesis.
