6. A researcher examines the short-term effects of a single treatment with acupuncture on cigarette smoking. Participants smoke approximately a pack of cigarettes a day are assigned to one of two groups. One group receives the treatment with acupuncture needles. The second group of participants serves as the control group and is given relaxation instructions while on the examining table but no acupuncture treatment. The number of cigarettes smoked the next day is recorded for all participants. ``{r} t.test(control, acupuncture, alternative = "two.sided", conf.level = 0.95, var.equal = TRUE, paired = FALSE) Two Sample t-test data: control and acupuncture t = 2.7627, df = 14, p-value = 0.01526 alternative hypothesis: true difference in means is not equal to 0 95 percent confidence interval: 2.096735 16.653265 sample estimates: mean of x mean of y 20.500 11.125 *** {r} sd control) sd(acupuncture) [1] 5.8554 [1] 7.605214 Answer the following items (a) - (k) based on the study description and the R output given above: (a) What is the independent variable? (b) What are the levels of the independent variable? (c) What is the level of measurement of the independent variable? (d) What is the dependent variable?

6. A researcher examines the short-term effects of a single treatment with acupuncture on cigarette smoking. Participants smoke approximately a pack of cigarettes a day are assigned to one of two groups. One group receives the treatment with acupuncture needles. The second group of participants serves as the control group and is given relaxation instructions while on the examining table but no acupuncture treatment. The number of cigarettes smoked the next day is recorded for all participants. ``{r} t.test(control, acupuncture, alternative = "two.sided", conf.level = 0.95, var.equal = TRUE, paired = FALSE) Two Sample t-test data: control and acupuncture t = 2.7627, df = 14, p-value = 0.01526 alternative hypothesis: true difference in means is not equal to 0 95 percent confidence interval: 2.096735 16.653265 sample estimates: mean of x mean of y 20.500 11.125 *** {r} sd control) sd(acupuncture) [1] 5.8554 [1] 7.605214 Answer the following items (a) - (k) based on the study description and the R output given above: (a) What is the independent variable? (b) What are the levels of the independent variable? (c) What is the level of measurement of the independent variable? (d) What is the dependent variable?

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Description: 6. A researcher examines the short-term effects of a single treatment with acupuncture oncigarette smoking. Participants smoke approximately a pack of cigarettes a day areassigned to one of two groups. One group receives the treatment with acupunctu

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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Concept explainers

Contingency Table

A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.

Binomial Distribution

Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.

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Question

6. A researcher examines the short-term effects of a single treatment with acupuncture on
cigarette smoking. Participants smoke approximately a pack of cigarettes a day are
assigned to one of two groups. One group receives the treatment with acupuncture
needles. The second group of participants serves as the control group and is given
relaxation instructions while on the examining table but no acupuncture treatment. The
number of cigarettes smoked the next day is recorded for all participants.
{r}
t.test(control, acupuncture, alternative = "two.sided", conf.level = 0.95, var.equal = TRUE, paired = FALSE)
Two Sample t-test
data:
control and acupuncture
t = 2.7627, df = 14, p-value = 0.01526
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
2.096735 16.653265
sample estimates:
mean of x mean of y
20.500
11.125
{r}
sd(control)
sd acupuncture)
[1] 5.8554
[1] 7.605214
Answer the following items (a) – (k) based on the study description and the R output given
above:
(a) What is the independent variable?
(b) What are the levels of the independent variable?
(c) What is the level of measurement of the independent variable?
(d) What is the dependent variable?

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