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Statistics Chapter 1 Practice Test Questions And Answers Verified 100% Correct

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Statistics Chapter 1 Practice Test Questions And Answers Verified 100% Correct Was this a controlled experiment or an observational study? Explain why. From studies like these, can we conclude a cause-and-effect relationship between the drug type and the survival percentage? Why or why not? - answer This is a controlled experiment because the researchers randomly determined the groups. We can conclude a causeand-effect relationship because the women were randomly assigned to the treatment and control groups, which controls for other variables. A study was done to see whether a smaller dose of flu vaccine could be used successfully. In this study, the usual amount of vaccine was injected into half the patients, and the other half of the patients had only a small amount of vaccine injected. The response was measured by looking at the production of antibodies. In the end, the lower dose of vaccine was just as effective as a higher dose for those under 65 years old. What more do we need to know to be able to conclude that the lower dose of vaccine was equally effective at preventing the flu for those under 65? A. This is a controlled experiment and causation cannot be inferred. B. The sample size must be at least 500 to ensure the sample size is large enough to infer causation. C. This is an observational study and causation cannot be inferred. D. The patients need to be randomly assigned the full or lower dose. Without randomization there could be bias, however, with randomization we can infer causation. - answer D. The patients need to be randomly assigned the full or lower dose. Without randomization there could be bias, however, with randomization we can infer causation. A study looked at the effects of light on female mice. Fifty mice were randomly assigned to a regimen of 12 hours of light and 12 hours of dark (LD), while another fifty mice were assigned to 24 hours of light (LL). Researchers observed the mice for two years. Three of the LD mice and 15 of the LL mice developed tumors. Determine the percentage of mice that developed tumors from each group (LL and LD). Compare them and comment - answer In the LD mice, 6% developed tumors. In the LL mice, 30% developed tumors. The LD mice developed tumors at a lower rate than the LL mice. A study looked at the effects of light on female mice. Fifty mice were randomly assigned to a regimen of 12 hours of light and 12 hours of dark (LD), while another fifty mice were assigned to 24 hours of light (LL). Researchers observed the mice for two years. Three of the LD mice and 15 of the LL mice developed tumors. Was this a controlled experiment or an observational study? How do you know? - answer This was a controlled experiment because there were two groups that were assigned by the researchers. A study looked at the effects of light on female mice. Fifty mice were randomly assigned to a regimen of 12 hours of light and 12 hours of dark (LD), while another fifty mice were assigned to 24 hours of light (LL). Researchers observed the mice for two years. Three of the LD mice and 15 of the LL mice developed tumors. Can we conclude that light for 24 hours a day causes an increase in tumors in mice? Why or why not? - answer Because it was a controlled experiment, it can be concluded that light for 24 hours a day causes an increase in tumors in mice. Questions about causality are usually phrased in the form of ___ questions. - answer Questions about causality are usually phrased in the form of "What if...?" questions. The outcome variable in a question about causality is also referred to as what? - answer The response variable In an experiment studying the association between a treatment variable and an outcome variable, the group of people who do NOT receive the treatment are called what? - answer The control group Of the following, which is the only method of data collection suitable for making conclusions about causal relationships? - answer Controlled experiments Which of the following is an identifying mark of an observational study? - answer Subjects in the study are put into the treatment group or the control group either by their own actions or by the decision of someone not involved in the research study. A difference between two groups in an observational study that can explain why the outcomes were very different between the groups is called what? - answer A confounding variable Which of the following is a reason we can never draw cause-and-effect conclusions from observational studies? - answer Potential confounding variables may explain the differences between groups rather than the treatment variable. Why is random assignment used to assign people to treatment groups and control groups in a controlled experiment? - answer To make the groups as similar as possible, minimizing bias. Which of the following is NOT one of the criteria for the "gold standard" for experiments? - answer Equal sample sizes for control and treatment group The study of statistics rests on what two major concepts? - answer Variation and data The circles shown to the right are similar, but not exactly the same. This is an example of _______. - answer The circles shown to the right are similar, but not exactly the same. This is an example of variation. Data are more than just numbers, because data have _____. - answer Data are more than just numbers, because data have context. In statistics, variables are _____. - answer In statistics, variables are characteristics of people or things. In statistics, the data we work with is just one part of a bigger picture called the ____. - answer In statistics, the data we work with is just one part of a bigger picture called the population. Which of the following questions should be asked when developing an understanding of data? A. Who collected the data? B. What variables were measured? C. How were the variables measured? D. All of these questions are important. - answer All of these questions are important. What are two basic types of variables in statistics? Numerical and algebraic Numerical and categorical Contextual and categorical Numerical and contextual - answer Numerical and categorical The variable "eye color" is an example of what type of variable? - answer Categorical Categorical variables are also referred to as ______ variables. - answer Categorical variables are also referred to as qualitative variables. The process of representing categorical variables with numbers (such as letting a 1 represent "smoker" and a 0 represent "non-smoker") is called _______. - answer The process of representing categorical variables with numbers (such as letting a 1 represent "smoker" and a 0 represent "non-smoker") is called coding. A statistics class is made up of 18 men and 17 women. What percentage of the class is male? - answer The statistics class is 51.4% male. A different class has 268 students, and 57.5% of them are men. How many men are in the class? - answer b. There are 154 males in the class. A different class is made up of 66% women and has 17 women in it. What is the total number of students in the class? - answer The class consists of 26 students. A hospital employs 353 nurses and 34% of them are male. How many male nurses are there? - answer There are 120 male nurses. An engineering firm employs 170 engineers and 108 of them are male. What percentage of these engineers are female? - answer 36.5% of the engineers are female. A large law firm is made up of 60% male lawyers, or 165 male lawyers. What is the total number of lawyers at the firm? - answer There are 275 lawyers at the firm. It was predicted that a country will have an elderly population (65 and older) of 7,147,000 in the year 2050 and that this will be 18.4% of the population. What is the total predicted population of this country in 2050? - answer The total predicted population of the country in 2050 is people

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Subido en
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Statistics Chapter 1 Practice Test
Questions And Answers Verified 100%
Correct
Was this a controlled experiment or an observational study? Explain why. From studies
like these, can we conclude a cause-and-effect relationship between the drug type and
the survival percentage? Why or why not? - answer This is a controlled experiment
because the researchers randomly determined the groups. We can conclude a
causeand-effect relationship because the women were randomly assigned to the
treatment and control groups, which controls for other variables.
A study was done to see whether a smaller dose of flu vaccine could be used
successfully. In this study, the usual amount of vaccine was injected into half the
patients, and the other half of the patients had only a small amount of vaccine injected.
The response was measured by looking at the production of antibodies. In the end, the
lower dose of vaccine was just as effective as a higher dose for those under 65 years
old. What more do we need to know to be able to conclude that the lower dose of
vaccine was equally effective at preventing the flu for those under 65?

A. This is a controlled experiment and causation cannot be inferred.

B. The sample size must be at least 500 to ensure the sample size is large enough to
infer causation.

C. This is an observational study and causation cannot be inferred.

D. The patients need to be randomly assigned the full or lower dose. Without
randomization there could be bias, however, with randomization we can infer
causation. - answer D. The patients need to be randomly assigned the full or lower
dose. Without randomization there could be bias, however, with randomization we
can infer causation. A study looked at the effects of light on female mice. Fifty mice
were randomly assigned to a regimen of 12 hours of light and 12 hours of dark (LD),
while another fifty mice were assigned to 24 hours of light (LL). Researchers
observed the mice for two years. Three of the LD mice and 15 of the LL mice
developed tumors.

Determine the percentage of mice that developed tumors from each group (LL and LD).
Compare them and comment - answer In the LD mice, 6% developed tumors. In the LL
mice, 30% developed tumors. The LD mice developed tumors at a lower rate than the
LL mice.

, A study looked at the effects of light on female mice. Fifty mice were randomly assigned
to a regimen of 12 hours of light and 12 hours of dark (LD), while another fifty mice were
assigned to 24 hours of light (LL). Researchers observed the mice for two years. Three
of the LD mice and 15 of the LL mice developed tumors.

Was this a controlled experiment or an observational study? How do you know? -
answer This was a controlled experiment because there were two groups that were
assigned by the researchers.
A study looked at the effects of light on female mice. Fifty mice were randomly assigned
to a regimen of 12 hours of light and 12 hours of dark (LD), while another fifty mice were
assigned to 24 hours of light (LL). Researchers observed the mice for two years. Three
of the LD mice and 15 of the LL mice developed tumors.

Can we conclude that light for 24 hours a day causes an increase in tumors in mice?
Why or why not? - answer Because it was a controlled experiment, it can be concluded
that light for 24 hours a day causes an increase in tumors in mice.
Questions about causality are usually phrased in the form of ___ questions. - answer
Questions about causality are usually phrased in the form of "What if...?" questions.
The outcome variable in a question about causality is also referred to as what? -
answer The response variable
In an experiment studying the association between a treatment variable and an
outcome variable, the group of people who do NOT receive the treatment are called
what? - answer The control group
Of the following, which is the only method of data collection suitable for making
conclusions about causal relationships? - answer Controlled experiments Which of the
following is an identifying mark of an observational study? - answer Subjects in the
study are put into the treatment group or the control group either by their own actions or
by the decision of someone not involved in the research study. A difference between
two groups in an observational study that can explain why the outcomes were very
different between the groups is called what? - answer A confounding variable
Which of the following is a reason we can never draw cause-and-effect conclusions
from observational studies? - answer Potential confounding variables may explain the
differences between groups rather than the treatment variable.
Why is random assignment used to assign people to treatment groups and control
groups in a controlled experiment? - answer To make the groups as similar as possible,
minimizing bias.
Which of the following is NOT one of the criteria for the "gold standard" for experiments?
- answer Equal sample sizes for control and treatment group

The study of statistics rests on what two major concepts? - answer Variation and data
The circles shown to the right are similar, but not exactly the same. This is an example
of _______. - answer The circles shown to the right are similar, but not exactly the
same. This is an example of variation.
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