Test Ho: mu1=mu2 vs Ha mu1 does not equal mu2 with x bar = 15.3, S1 =11.6 with n1=100 and x bar 2 =18.4, S2 = 14.3 with n2=80
Test Ho: mu1=mu2 vs Ha mu1 does not equal mu2 with x bar = 15.3, S1...
a) Use the t-distribution to find a confidence interval for a difference in means μ1-μ2 given the relevant sample results. Give the best estimate for μ1-μ2, the margin of error, and the confidence interval. Assume the results come from random samples from populations that are approximately normally distributed. A 90% confidence interval for μ1-μ2 using the sample results x¯1=8.8, s1=2.7, n1=50 and x¯2=13.3, s2=6.0, n2=50 Enter the exact answer for the best estimate and round your answers for the margin...
4. Consider the hypothesis test Ho: o rož vs. Hı: 0 <ož. Suppose that the sample sizes are n1 = 5 and n2 = 10, and that S =23.2 and S2=28. Test this hypothesis using 5% significance.
Use the t-distribution and the given sample results to complete the test of the given hypotheses. Assume the results come from random samples, and if the sample sizes are small, assume the underlying distributions are relatively normal. Test Upper H Subscript 0 Baseline : mu Subscript 1 Baseline equals mu Subscript 2 vs Upper H Subscript a Baseline : mu Subscript 1 Baseline not-equals mu Subscript 2 using the sample results x Overscript bar EndScripts Subscript 1 Baseline equals 15.3,...
Perform the test of hypotheses indicated, using the data from independent samples given. Use the critical value approach. Compute the p-value of the test as well. 23@a = 0.05, a. Test Ho 1 -H23vs. Ha 25, s1 1 n1= 35,1 19, s2 = 2 n2 =45,2
2. Perform the following .05 level test: Ho: 6 = 2.5 vs. Ha: 0 < 2.5, given a random sample of 10 pieces of data had a mean of 13.6 and a standard deviation of 1.7. Ho: Test Statistic: Ha: p-value: Conclusion (Circle Answer): Fail to Reject Ho R eject Ho
Consider the following hypothesis test. H₀: μ₁-μ₂=0Ha: μ₁-μ₂ ≠ 0The following results are from independent samples taken from two populations. Sample 1 Sample 2n1 = 35n2 = 40x̅1 = 13.6x̅2 = 10.1s1 = 5.5s2 = 8.6a. What is the value of the test statistic (to 2 decimals)? b. What is the degrees of freedom for the t distribution (to 1 decimal)?
25. Researchers want to test Ho: j = 120 Vs. Ha: > 120, at a significance level of 0.04. A sample of size 64 yielded a sample standard deviation of 32. What values of X will cause them to reject Ho? (a) X > 116.5 (b) X > 120 I (c) X > 123.5 (d) X > 127 (e) X > 130.5
Assume you have a hypothesis test as follows. Ho : P1 – P2 = 0 (HA: P1 – P2 70 You also know based on two surveys that: Survey 1: n1 =81, p =0.40 Survey 2: n2 =84.2 =0.22. Find the Z test statistic. Note: 1- Only round your final answer to 2 decimal places. Enter your final answer with 2 decimal places.
A hypothesis test for a population proportion p is given below: Ho: p = 0.25 vs. Ha: p NE 0.25 (NE means not equal) For sample size n=100 and sample proportion p = 0.30, compute the value of the test statistic: 1.67 -1.12 0.04 1.15
Consider the following hypothesis test. H0: σ12 = σ22 Ha: σ12 ≠ σ22 a) what is your conclusion if n1=21 s1^2=2.2 ,n2=26 s2^2=1.0? use α = 0.05 and the p-value approach. find the p-value (round your answer to four decimal places) b) repeat the test during the critical value approach State the critical values for the rejection rule. (Round your answers to two decimal places. If you are only using one tail, enter NONE for the unused tail.) test statistic...