an experiment on immunization cattle from tuberculosis the following results were obtained. Affected Not affected Inoculated 12 28 Not inoculated 13 7 Examine the effect of vaccine in controlling the incidence of the disease. (Chi

an experiment on immunization cattle from tuberculosis the following results were obtained. Affected Not affected Inoculated 12 28 Not inoculated 13 7 Examine the effect of vaccine in controlling the incidence of the disease. (Chi

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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An independent-measures study comparing two treatment conditions with n = 6 in each sample produces t = 4.00. What is the value of r2 for this study?
comparison of the precisions of two machines developed for extracting juice from oranges is to be made using the following data. Is there sufficient evidence to indicate that there is a difference in the precision of the two machines at the 5% level of significance? Machine A Machine B s2 = 1.4 ounces2 s2 = 3.1 ounces2 n=25 n=20
The following data were obtained from a repeated-measures study comparing two treatment conditions. Use a repeated-measures ANOVA with α = .05 to determine whether there are significant mean differences between the two treatments. Treatments Person I II Person Totals A 3 5 P = 8 B 5 9 P = 14 N = 16 C 1 5 P = 6 G = 80 D 1 7 P = 8 ΣX2 = 500 E 5 9 P = 14 F 3 7 P = 10 G 2 6 P = 8 H 4 8 P = 12 M = 3 M = 7 T = 24 T = 56 SS = 18 SS = 18
The Influence of Color Priming and Forewarning on Anagram Performance Colors are an essential part of life, from warning us of poisonous creatures to describing our emotions, they have proven their worth. Certain colors can be perceived in specific situations or attributed to a particular emotion. For instance, priming of sadness can lead to perception of the color blue, whereas priming of anger can lead to perception of the color red (Fetterman, Robinson, Gordon, & Elliot, 2011). The central aim of our study is to explore the effect priming with a specific color has on anagram performance. Priming is defined as the unconscious influence that a stimulus has on the agility or accuracy in performing a task (Schacter & Rajendra, 2001). According to Jefferis and Fazio (2008), priming impacts behaviors by informing the person if they have met the demands of the situation. The influence priming has on behavior is shaped by what one perceives in a particular situation. For example,…
A doctor is researching side effects with a new pain medication. A clinical trial including random sample of 340 people who took a new pain relief medication reveals that 23 suffered some side effects. At the .05 level of significance(α), is there evidence that greater than 10% of all patients who take the medication will experience side effects? a. 0.0468 b. 0.977 c. 0.0234 d. 0.0678
A geneticist was curious about the relationship between gender and dominant hand. They surveyed a random sample of 500 people. Here is a summary of the responses and the results from a chi-squared test: Chi-square test: Dominant hand vs. gender Men Women Right 207 227 Expected 208.32 225.68 Left 21 27 Expected 23.04 24.96 Ambidextrous 12 - Expected 8.64 9.36 X%3D2.876, DF 2, P-value 0.237 Assume that all conditions for inference were met. At the a = 0.05 significance level, what is the most appropriate conclusion to draw from this test? O This is convincing evidence that the distribution of dominant hand differs between the genders. O This isn't enough evidence to say that the distribution of dominant hand differs between the genders. O This is convincing evidence that dominant hand and gender are not independent. OThey lack evidence to say that dominant hand and gender are not independent. O Gender causes people to be more likely to be left- or right-handed.
The data below are from a study comparing three different treatment conditions: Treatment 1 Treatment 2 Treatment 3 0 1 6 1 4 5 0 1 6 3 2 3 T = 4 T = 8 T = 20 SS = 6 SS = 6 SS = 6    N = 12     G = 32 ƩX2= 138 Conduct a single-factor independent-measures ANOVA to test the hypothesis that there are significant differences in the mean scores among the three treatment conditions. Use α = .01. a. The alternative hypothesis is
A newly installed automatic gate system was being tested to see if the number of failures in 1,000 entry attempts was the same as the number of failures in 1,000 exit attempts. A random sample of eight delivery trucks was selected for data collection. Do these sample results show that there is a significant difference between entry and exit gate failures? Use α = 0.05. Truck 1 Truck 2 Truck 3 Truck 4 Truck 5 Truck 6 Truck 7 Truck 8 Entry failures 44 42 53 56 62 53 48 43 Exit failures 48 50 55 60 57 48 50 48 Click here for the Excel Data File (b) Find the test statistic tcalc. (Round your answer to 3 decimal places. A negative value should be indicated by a minus sign.)   (c) Find the critical value tcrit for α = 0.05. (Round your answer to 3 decimal places. A negative value should be indicated by a minus sign.)   (d) Find the p-value. (Round your answer to 4 decimal places.)   (e) State your conclusion.   Automated Gate: Number of…
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For a repeated-measures study comparing two treatment conditions, a researcher obtains a sample of n = 10 difference scores with a mean of MD = 6 and a variance of s2 = 90. What is the value for the repeated-measures t statistic for these data? Select one: a. 7 b. 6 c. 2 d. 15
A newly installed automatic gate system was being tested to see if the number of failures in 1,000 entry attempts was the same as the number of failures in 1,000 exit attempts. A random sample of eight delivery trucks was selected for data collection. Do these sample results show that there is a significant difference between entry and exit gate failures? Use α = 0.05. Truck 1 Truck 2 Truck 3 Truck 4 Truck 5 Truck 6 Truck 7 Truck 8 Entry failures 40 45 53 55 64 54 49 44 Exit failures 50 53 58 60 59 46 54 45 Click here for the Excel Data File (a) Choose the appropriate hypotheses. Define the difference as Entry − Exit. H0: μd = 0 versus H1: μd ≠ 0 H0: μd ≥ 0 versus H1: μd < 0 H0: μd ≤ 0 versus H1: μd > 0 (b) Find the test statistic tcalc. (Round your answer to 3 decimal places. A negative value should be indicated by a minus sign.) tcalc (c) Find the critical value tcrit for α = 0.05. (Round your answer to 3 decimal places. A…
For a repeated –measures study comparing three treatment conditions with a sample n =4 participants, the participant totals or P values are 4, 6, 9 and 7. What is the value for SS between subjects? Accept the F ratio at .05 but reject it at .01