Example 10.5.7 In random samples of 600 and 1000 . men from two cities,400 and 600 men are respectively found to be illiterate. Does the dataindicate (at 5% level of significance) that the population of the two cities is20251significantly different in its percentage of literacy?re2 du = 0.0252T1.96

Answered: Image /qna-images/answer/58114ad3-99af-4e43-926d-887ffacec9f1.jpg

Answered: Xxample 10.5.7 In random samples of 600…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A test of Ho:mu-3 vs Ha: mu not-3 resulted in a p-value of 0.13. We can predict that, using the same data set: • the 90% CI for mu • the 95% CI for mu [Select] . [Select] the 99% CI for mu [ Select] include 3 include 3 ✓include 3
An article about “Relative Controllability of Dissimilar Cars” reported a study in which 14 subjects were asked to parallel-park two cars having very different wheel bases and turning diameter. The time (in seconds) for each subject was recorded and found that the sample mean and sample variance of the difference were 1.21 seconds and 160.7824, respectively. The researcher claims that the population mean difference of time taken is (4.79,7.21) seconds. With what level of confidence can this statement be made?
The recommended daily dietary allowance for zinc among males older than age 50 years is 15 mg/day. An article reports the following summary data on intake for a sample of males age 65-74 years: n = 117, x = 12.2, and s = 6.60. Does this data indicate that average daily zinc intake in the population of all males age 65-74 falls below the recommended allowance? (Use a = 0.05.) State the appropriate null and alternative hypotheses. Ο H, μ 15 Ha: u > 15 Ho:H = 15 Ha: u < 15 Ο H: μ= 15 H: u + 15 Ο H: μ= 15 H3: Hs 15 Calculate the test statistic and determine the P-value. (Round your test statistic to two decimal places and your P-value to four decimal places.) P-value =
7.12 Auto exhaust and lead exposure. Researchers interested in lead exposure due to car exhaust sampled the blood of 52 police officers subjected to constant inhalation of automobile exhaust fumes while working traffic enforcement in a primarily urban environment. The blood samples of these officers had an average lead concentration of 124.32 µg/l and a SD of 37.74 µg/l; a previous study of individuals from a nearby suburb, with no history of exposure, found an average blood level concentration of 35 µg/1.⁹ (a) Write down the hypotheses that would be appropriate for testing if the police officers appear to have been exposed to a different concentration of lead. (b) Explicitly state and check all conditions necessary for inference on these data. (c) Regardless of your answers in part (b), test the hypothesis that the downtown police officers have a higher lead exposure than the group in the previous study. Interpret your results in context.
1
The recommended daily dietary allowance for zinc among males older than age 50 years is 15 mg/day. An article reports the following summary data on intake for a sample of males age 65-74 years: n = 113, x = 12.4, and s = 6.63. Does this data indicate that average daily zinc intake in the population of all males age 65-74 falls below the recommended allowance? (Use a = 0.05.) State the appropriate null and alternative hypotheses. O Ho: H = 15 H: u > 15 O Ho: H = 15 H: u < 15 Ο H: μ15 H:us 15 Ο Η: μ- 15 H: u = 15 Calculate the test statistic and determine the P-value. (Round your test statistic to two decimal places and your P-value to four decimal places.) z = p-value = State the conclusion in the problem context. O Reject the null hypothesis. There is sufficient evidence that average daily zinc intake falls below 15 mg/day. O Do not reject the null hypothesis. There is sufficient evidence that average daily zinc intake falls below 15 mg/day. O Do not reject the null hypothesis. There…
5 c.)
A two-way ANOVA experiment with interaction was conducted. Factor A had three levels (columns), factor B had five levels (rows), and six observations were obtained for each combination. Assume normality in the underlying populations. The results include the following sum of squares terms: SST=1542 SSA= 1042 SSB = 358 SSAB = 39 a. Construct an ANOVA table. (Round "MS" to 4 decimal places and "F" to 3 decimal places.) ANOVA Source of Variation Rows Columns Interaction Error Total SS 0 df Answer is not complete. 0 MS F p- value 0.000 0.000 0.002
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A researcher randomly assigns college freshmen to either of two experimental conditions. Because both groups consist of college freshmen, someone claims that it is appropriate to use a t test for the two related samples. Comments?
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Plz answer both questions 01) 3. In a larger-scale replication study, 60 subjects were randomly assigned to one of 3 treatment conditions (0 ml., 5 ml., or 10 ml. of melatonin). After treatment, the total sum of squares was found to be 6504.75. In addition, 32% of the variance between the groups' measured depression could be accounted for by the different dosages of melatonin they had been administered. Does this study show significant differences between the groups' mean depression scores (α ≤ .025) 4. Forty eight subjects were randomly assigned to one of 4 treatment conditions in a study of different methods of coping with statistics exam anxiety. After the experiment, 12 subjects remained in group 1, 8 in group 2, 10 in group 3, and 10 in group 4. The mean anxiety score of group 1 was found to be 5.5 points higher than the mean of group 2, 3.5 points higher than the mean of group 3, 5.3 points higher than the mean of group 4, and 3.3 points higher than the grand mean.…

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