2. The lifetimes of two types of LEDs were compared, two samples were collected and the following are the results (in 1000 hours) n mean Type I st.dev. 25 56.8 4.3 Type II 18 54.6 3.6 Find a 95% confidence interval for the difference of the two means. Using the CI, test the hypothesis that the means are equal.
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- 100 adults from Coachella were randomly selected to participate in a study on the correlation between height in cm and weight in kg. Their heights had a range of 133 to 194 cm and their weights had a range from 38 to 150 kg. the 100 paired measurements had an average height of x bar= 167.87 and a weight average of ybar = 81.57. Also, relevant values between the two were r= 0.292, the p-value was 0.003 and y hat was 102+1.05x. Find the best predicted value y hat for the weight of someone who is 180cm all. Use a 0.1 significance level. We Can or cant use the regression equation ere? What would that estimate their weight to be?A data set includes weights of garbage discarded in one week from 62 The paired weights of paper and glass were used to obtain the results shown to the right. Is there sufficient evidence to support the claim that there is a linear correlation between weights of discarded paper and glass? Use a significance level of a = 0.05. iniont ?A physical therapist wanted to know whether the mean step pulse of men was less than the mean step pulse of women. She randomly selected 54 men and 70 women to participate in the study. Each subject was required to step up and down a 6-inch platform. The pulse of each subject was then recorded. The following results were obtained. Two sample T for Men vs Women N Mean StDev SE Mean Men Women 98% CI for mu Men - mu Women (- 12.20, - 1.00) T-Test mu Men = mu Women (vs H2 O C. Ho: H1 = H2; Ha: H1 #H2 (b) Identify the P-value and state the researcher's conclusion if the level of significance was a = 0.01. What is the P-value? P-value =
- A study was conducted of 90 adult male patients following a new treatment for congestive heart failure. One of the variables measured on the patients was the increase in exercise capacity (in minutes) over a 4-week treatment The previous treatment regime had produced an average increase of μ = 2 minutes. The researchers wanted to evaluate whether the new treatment had increased the value of μ in comparison to the previous treatment. The sample data yielded ?̅ = 2.17 and ? = 1.05: Using α = 05, what conclusions can you draw about the research hypothesis?Above Answer is Wrong, Please Help!A physical therapist wanted to know whether the mean step pulse of men was less than the mean step pulse of women. She randomly selected 50 men and 74 women to participate in the study. Each subject was required to step up and down a 6-inch platform. The pulse of each subject was then recorded. The following results were obtained. Two sample T for Men vs Women Mean N StDev SE Mean Men Women 95% Cl for mu Men - mu Women (- 10.67, - 1.13) T-Test mu Men = mu Women (vs H2 B. Ho: H1 = H2;Which of the following can cause OLS estimators to be biased? PLEASE EXPLAINA physical therapist wanted to know whether the mean step pulse of men was less than the mean step pulse of women. She randomly selected 51 men and 71 women to participate in the study. Each subject was required to step up and down a 6-inch platform. The pulse of each subject was then recorded. The following results were obtained. Two sample T for Men vs Women Mean StDev SE Mean Men Women 95% Cl for mu Men - mu Women (- 11.44, - 1.96) T-Test mu Men = mu Women (vs H2 OC. Ho: H1 = H2i Hại Hy # H2A clinical study was conducted on a medicine and the data obtained as follows: calculate Sensitivity Diseased •True Positive: 1000 •True negative: 50 Non diseased •True positive: 100 •True negative: 80010.33 Soil pH is an important variable in the design of structures that will contact the soil. The pH at a potential construction site was said to average 6.5. Nine test samples of soil from the site gave readings of 7.3, 6.5, 6.4, 6.1, 6.0, 6.5, 6.2, 5.8, 6.7 Do these readings cast doubt upon the claimed average? (Test at the 5% significance level.) What assumptions are necessary for this test to be valid? S PhotoGridThe type of alloy used in manufacturing electric wire is important in reducing resistance. It has been suggested that the use of one type of alloy can reduce the wire resistance by more than 0.05 ohm. An experiment was conducted two types of wire, one with the alloy added and a second without the allow added. The mean resistances of 32 samples of each type of wire resulted in a mean resistance of the wire with alloy added being 0.136 ohm and the resistance of the wire without the allow added was 0.083 ohm. The standard deviation associated with this type of experiment is known to be 0.0045 ohm. a) Test the claim that resistance of electric wire can be reduced by more than 0.05 ohm by adding an alloy to the wire. Use a significance value of 0.05. b) Verify the conclusion in part a) with the p-value c) Verify the conclusion in part a) with the appropriate confidence interval Note that in this problem, populations variances are KNOWN. Samples are large enough (greater than 30) that no…A2.2SEE MORE QUESTIONS