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?

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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Chapter10: Statistics
Section10.6: Summarizing Categorical Data
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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?
Transcribed Image Text: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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