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Texts: Dykstra et al. (A-34) studied 15 female patients with urinary frequency with or without incontinence. The women were treated with botulinum toxin type B (BTX-B). A t-test of the pre/post difference in frequency indicated that these 15 patients experienced an average of 5.27 fewer frequency episodes per day after treatment with BTX-B. The p-value for the test was less than 0.001. (a) What is the variable of interest? (b) Is the parameter of interest a mean, the difference between two means (independent samples), a mean difference (paired data), a proportion, or the difference between two proportions (independent samples)? (c) What is the sampled population? (d) What is the target population? (e) What are the null and alternative hypotheses? (f) Is the alternative one-sided (left tail), one-sided (right tail), or two-sided? (g) What type I and type II errors are possible? (h) Do you think the null hypothesis was rejected? Explain why or why not.

          Texts: Dykstra et al. (A-34) studied 15 female patients with urinary frequency with or without incontinence. The women were treated with botulinum toxin type B (BTX-B). A t-test of the pre/post difference in frequency indicated that these 15 patients experienced an average of 5.27 fewer frequency episodes per day after treatment with BTX-B. The p-value for the test was less than 0.001. 

(a) What is the variable of interest? 
(b) Is the parameter of interest a mean, the difference between two means (independent samples), a mean difference (paired data), a proportion, or the difference between two proportions (independent samples)? 
(c) What is the sampled population? 
(d) What is the target population? 
(e) What are the null and alternative hypotheses? 
(f) Is the alternative one-sided (left tail), one-sided (right tail), or two-sided? 
(g) What type I and type II errors are possible? 
(h) Do you think the null hypothesis was rejected? Explain why or why not.

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Added by Victoria M.

Elementary Statistics a Step by Step Approach

Allan G. Bluman 9th Edition

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Solved by Expert Paul A.

05/15/2022

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The variable of interest in this study is the number of urinary frequency episodes per day. Show more…

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Texts: Dykstra et al. (A-34) studied 15 female patients with urinary frequency with or without incontinence. The women were treated with botulinum toxin type B (BTX-B). A t-test of the pre/post difference in frequency indicated that these 15 patients experienced an average of 5.27 fewer frequency episodes per day after treatment with BTX-B. The p-value for the test was less than 0.001. (a) What is the variable of interest? (b) Is the parameter of interest a mean, the difference between two means (independent samples), a mean difference (paired data), a proportion, or the difference between two proportions (independent samples)? (c) What is the sampled population? (d) What is the target population? (e) What are the null and alternative hypotheses? (f) Is the alternative one-sided (left tail), one-sided (right tail), or two-sided? (g) What type I and type II errors are possible? (h) Do you think the null hypothesis was rejected? Explain why or why not.

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Transcript

00:01 Once again, welcome to a new problem.

00:05 This time we're dealing with descriptive statistics.

00:10 We're dealing with descriptive statistics.

00:12 And when it comes to descriptive statistics, we have graphs, we also have tables and we also have numbers.

00:25 More so in descriptive statistics, we always think about a population and within the population, we can always take samples and then from the samples, we can run hypothesis testing using sample data.

01:00 On the basis of sample variables to explain or predict population aspects.

01:10 To explain or predict population aspects.

01:22 We have a new problem and in this particular problem we're looking at studies, we're looking at studies on urinary epidermal, urinary epidermal growth factor.

01:48 So we're looking at urinary epidermal growth factor.

01:56 And that's the egf.

02:00 So egf.

02:02 And we're looking at the excretion.

02:05 We're looking at the excretion in the excretion in normal children.

02:18 So we're looking at the excruition in normal children.

02:23 And those with acute renal failure.

02:33 So acute renal failure is going to be the same as arf.

02:39 So we take random samples, we take random samples and all these are random urine samples and these are followed by followed by 24 hour urine collection obtained from 25 children.

03:11 It's obtained from 25 children.

03:18 The subjects happen to be between 1 and 15 years.

03:25 And so urinary egf and egf stands for epidermal growth factor...

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