An experiment was implemented to test the effectiveness of a new veterinarian product for dogs.Animals were randomly assigned to two treatments. Dogs on group treatment A received the newproduct and control dogs on group treatment B received a placebo. At the end of the experiment theconcentrations of a certain hormone (ng/ml) was measured and the following data was obtained:DATA:Observation123456Trt A13.711.713.412.712.410.8EvaluateHo: MA UB ---against--- HA: MA # MBTrt B13.814.612.313.810.71. What is the calculated "t" statistics? (round to the nearest hundredth; place the absolute value of "t"in the box below)2. Given your "t" calculated indicate if you are going to reject or fail to reject the null hypothesis usingan alpha=0.1 (reject/fail to reject; place your answer right beside the calculated "t" statistics. Do notleave a space between the two answers)

Answered: Image /qna-images/answer/bedb14fa-d267-4aa6-aa88-9b2b90f7d83e.jpg

Answered: An experiment was implemented to test…

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 experiment was designed to study oil additives that could reduce polluting the air. Two additives were considered in the study. The two additives X1 and X2 were controlled and the level of the pollution Y is observed. The data were as follows: Y X1 X2 3.9 1.5 2.2 7.5 1.5 4.5 4.4 1.7 2.2 8.7 1.8 4.4 9.6 5.5 4.3 8.5 5.5 4.5 Find the regression equation Is the model valid? Which independent variable is linearly related to Y?
We are testing whether a particular program of low impact exercise can improve the cholesterol level of stroke patients. We enroll a group of stroke patients in our study, and after six weeks we measure their serum cholesterol level in mmol/L, resulting in the following data: 6.1 9.3 6.3 4 9 5.5 6.3 4.2 4.7 7.8 4.3 7.5 9.1 4.2 6.9 8.1 5.6 9.4 8.3 8.8 7.2 5.7 6.5 3.8 3.8 9 9.4 4.5 8 7 4.5 9.4 6.6 4.1 6.6 9.1 3.9 5.3 (a) Construct a 95% confidence interval. _______< u < ______ From an existing study, we know that the average cholesterol level of all stroke patients is 7 mmol/L. We want to know if the level in our patients is significantly different from this. (b) What is our Test statistic? ______ (c) What is the two-tailed p-value of this result? ______
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 pharmaceutical company is running a test comparing two forms of advertising for the same product one which involved a television campaign and the other a print campaign. Market sectors are randomly assigned to receive a particular form of advertising and product sales are recorded during the month following ad campaigns. Using the data provided test if there is a significant difference in product sales by method of advertisement. Use (alpha) a=0.05
A research study has two samples, each with n = 6, and the two experimental treatments used in each sample are being compared using an independent-measures t statistic. What is the df value for the t statistic in this study? a. df = 14 b. df = 12 c. df = 11 d. df = 10
Which choice would be correct? Extraneous variables that are not directly studied but may influence the DV can be statistically controlled by: a. ANOVA b. ANCOVA c. Friedman's two-way ANOVA d. MANOVA
An independent-measures research study uses a total of 40 participants to compare two treatment conditions. What is the df value for the t statistic for this study? Question options: a. 39 b. 19 c. 38 d. 18
The director of student services at Oxnard College is interested in whether women are less likely to attend orientation than men before they begin their coursework. A random sample of freshmen at Oxnard College were asked what their gender is and whether they attended orientation. The results of the survey are shown below: Data for Gender vs. Orientation Attendance Women Men Yes 374 522 No 231 263 What can be concluded at the αα = 0.05 level of significance? For this study, we should use? Select an answer t-test for a population mean z-test for the difference between two population proportions? z-test for a population proportion? t-test for the difference between two dependent population means? t-test for the difference between two independent population means? The null and alternative hypotheses would be: H0:H0: Select an answer p1 or μ1 Select an answer > = ≠ < Select an answer p2 or μ2 (please enter a decimal) H1:H1: Select an answer μ1…
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The data below are from an independent-measures experiment comparing three different treatment conditions. Use an ANOVA with a = .05 to determine whether these data indicate any significant differences among the treatments Treatment 1 Treatment 2 Treatment 3 0 1 4 N = 12 0 4 3 G = 24 0 1 6 åX2 = 92 2 0 3 M = 0.5 T = 2 M = 1.5 T = 6 M = 4 T = 16 SS = 3 SS = 9 SS = 6
The contingency table shows the results of a random sample of patients from musculoskeletal injuries treated with acetaminophen or ibuprofen. At a=0.10, can you conclude that the treatment is related to the result? Result acetaminophen Ibuprofen Significant improvement 58 81 Slight improvement 42 19
What are the independent and dependent variables for the following examples? What statistical test would you use for each of the following scenarios? What would you set your alpha-level at? Sally wants to examine whether there is a difference in muscular strength between participants who engaged in an 8-week resistance training program and participants who engaged in an 8-week endurance training program. The participants only took part in one of the 8-week programs, not both. What test would she use to determine whether the differences in muscular strength are significant? Why?

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