Prepare for your QTM 100 Exam 1 with confidence using this comprehensive set of 120 practice questions! These questions cover a wide range of topics essential for understanding basic statistical concepts, including data types, descriptive statistics, probability, sampling, hypothesis testing, confi...
Which of the following best describes the field of statistics? a) The science of collecting,
organizing, and interpreting data b) The study of probability and chance c) The use of data to
make informed decisions d) All of the above
A population is: a) A subset of a sample b) The entire group of individuals or objects of
interest c) A numerical characteristic of a sample d) A graphical representation of data
A sample is: a) The entire group of individuals or objects of interest b) A subset of the
population selected for study c) A numerical characteristic of a population d) A method of data
collection
Which of the following is an example of a categorical variable? a) Age b) Height c) Eye color d)
Temperature
Which of the following is an example of a quantitative variable? a) Gender b) Zip code c)
Weight d) Blood type
The median of a dataset is: a) The most frequent value b) The average value c) The middle
value when the data is sorted d) The difference between the largest and smallest values
The mean of a dataset is: a) The most frequent value b) The sum of all values divided by the
number of values c) The middle value when the data is sorted d) The difference between the
largest and smallest values
The standard deviation of a dataset measures: a) The center of the data b) The shape of the
data distribution c) The spread or variability of the data d) The relationship between two
variables
A histogram is used to display the distribution of: a) Categorical data b) Quantitative data c)
Both categorical and quantitative data d) Neither categorical nor quantitative data
A bar chart is used to display the distribution of: a) Categorical data b) Quantitative data c)
Both categorical and quantitative data d) Neither categorical nor quantitative data
A scatterplot is used to display the relationship between: a) One categorical variable and one
quantitative variable b) Two quantitative variables c) Two categorical variables d) None of the
above
The correlation coefficient measures: a) The strength and direction of the linear relationship
between two quantitative variables b) The center of the data c) The spread of the data d) The
shape of the data distribution
, A correlation coefficient of 0 indicates: a) A strong positive relationship b) A strong negative
relationship c) No linear relationship d) A perfect linear relationship
A simple random sample is a sample in which: a) Every individual has an equal chance of being
selected b) Every possible sample of the same size has an equal chance of being selected c) The
sample is representative of the population d) Both a and b
Which of the following is NOT a type of bias in sampling? a) Random sampling error b)
Nonresponse bias c) Response bias d) Undercoverage bias
An observational study is one in which: a) The researcher manipulates the explanatory variable
b) The researcher observes the response variable without influencing the explanatory variable
c) The researcher randomly assigns subjects to different treatments d) The researcher uses a
control group
An experiment is one in which: a) The researcher observes the response variable without
influencing the explanatory variable b) The researcher manipulates the explanatory variable
and observes the effect on the response variable c) The researcher uses a survey to collect
data d) The researcher studies the relationship between two variables without manipulating
either one
A confounding variable is one that: a) Is associated with both the explanatory and response
variables b) Can influence the outcome of an experiment c) Makes it difficult to determine the
true effect of the explanatory variable d) All of the above
The purpose of random assignment in an experiment is to: a) Ensure that the sample is
representative of the population b) Reduce bias in the results c) Create comparable treatment
groups d) All of the above
A placebo is: a) An active treatment b) A fake treatment that has no effect c) A treatment that
is harmful to the subjects d) A treatment that is given to the control group
21. A blind study is one in which: a) The subjects do not know which treatment they are
receiving b) The researchers do not know which treatment the subjects are receiving c)
Neither the subjects nor the researchers know which treatment the subjects are
receiving d) Both a and b
22. A double-blind study is designed to: a) Reduce bias in the results b) Prevent the placebo
effect c) Ensure that the researchers and subjects are unaware of the treatment
assignments d) All of the above
23. A statistically significant result means that: a) The observed effect is large b) The
observed effect is important c) The observed effect is unlikely to have occurred by
chance d) The observed effect is clinically significant
24. The p-value in a hypothesis test represents: a) The probability of observing a test
statistic as extreme as or more extreme than the one observed, assuming the null
, hypothesis is true b) The probability that the null hypothesis is true c) The probability
that the alternative hypothesis is true d) The strength of the evidence against the null
hypothesis
1. brainly.com
brainly.com
25. A Type I error in hypothesis testing occurs when: a) The null hypothesis is rejected when
it is actually true b) The null hypothesis is not rejected when it is actually false c) The
alternative hypothesis is rejected when it is actually true d) The alternative hypothesis is
not rejected when it is actually false
26. A Type II error in hypothesis testing occurs when: a) The null hypothesis is rejected
when it is actually true b) The null hypothesis is not rejected when it is actually false c)
The alternative hypothesis is rejected when it is actually true d) The alternative
hypothesis is not rejected when it is actually false
27. The confidence level in a confidence interval represents: a) The probability that the
interval contains the true population parameter b) The range of values that the
population parameter is likely to fall within c) The margin of error of the estimate d) The
sample size
28. A 95% confidence interval for the mean weight of a population is (150, 170). This means
that: a) We are 95% confident that the true mean weight of the population lies between
150 and 170 b) 95% of the individuals in the population have a weight between 150 and
170 c) The sample mean weight is 160 d) The margin of error is 10
29. The margin of error in a confidence interval: a) Decreases as the sample size increases b)
Increases as the confidence level increases c) Decreases as the population standard
deviation increases d) Both a and b
30. A hypothesis test is conducted to determine if a new drug is effective in reducing blood
pressure. The null hypothesis states that the drug has no effect. The alternative
hypothesis states that the drug is effective in reducing blood pressure. If the p-value is
0.03, which of the following conclusions is appropriate? a) The drug is not effective in
reducing blood pressure b) The drug is effective in reducing blood pressure c) There is
insufficient evidence to conclude that the drug is effective in reducing blood pressure d)
The results are inconclusive
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