AP Stats Data Exploration Assessment Quiz

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1. What type of sampling method is used when you select every 10th item from a list to create a sample?

Explanation

Systematic sampling involves selecting items at regular intervals (in this case, every 10th item) from a list or population.

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About This Quiz
AP Stats Data Exploration Assessment Quiz - Quiz

Prepare for success in your AP Statistics journey with our meticulously crafted AP Stats Unit 2 Practice Test: Data Exploration Assessment. This comprehensive assessment is specifically designed... see moreto test your understanding of the key concepts covered in Unit 2 of the AP Statistics curriculum.
Explore the fascinating world of data exploration as you tackle a range of situational questions. You'll navigate through topics such as data types, study design, measures of central tendency, and statistical analysis. Each question is thoughtfully constructed to challenge your knowledge and analytical skills.
Whether you're a dedicated student striving for excellence or an educator seeking valuable assessment tools, this quiz provides an ideal platform for self-evaluation and targeted improvement. It's an essential resource to gauge your readiness and grasp of the fundamentals required to excel in AP Statistics. Sharpen your statistical insights and embark on a successful AP Stats journey today! see less

2. A television station broadcast a court trial in its entirety. During a news program, viewers were asked to go to the TV station's website and state whether they thought the defendant was guilty or not guilty. Of the 1,840 viewers who gave their opinion, 1,521 felt that the defendant was not guilty. The viewers who registered their opinions constitute  

Explanation

B, the only participants are the people who choose to respond. Usually end up with biased results because it attracts people with a strong opinion about a particular topic

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3. You want to determine if there's a relationship between the amount of exercise people do and their cholesterol levels. What type of statistical test is most suitable for this analysis?

Explanation

Correlation analysis is used to determine the strength and direction of the relationship between two continuous variables, such as exercise and cholesterol levels. It assesses if there's a statistical association between these variables.

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4. You want to do a survey of members of the senior class at your school and want to select a simple random sample.  You intend to include 40 students in your sample.  Which is the following approaches will generate a simple random sample?

Explanation

A - in order for this to be an SRS, all samples of size 40 must be equally likely. None of te other choices do this, and choice D isn't even random!

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5. A recent study showed that tea drinkers have lower stress levels than coffee drinkers. Tea drinkers are known to have a higher proportion of yoga practitioners than coffee drinkers, and they exercise on average two hours per week more than their coffee-drinking counterparts. What is the term used to describe these additional factors that might have an effect on the stress levels of tea drinkers?  

Explanation

C- The first sentence may lead one to believe that drinking tea leads to lower stress than drinking coffee. However, the additional data shows inherent differences between tea drinkers and coffee drinkers, which could contribute to the lower stress levels of tea drinkers. Thus, these additional variables may confound the relationship between drinking tea and drinking coffee.

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6. You want to investigate the relationship between the amount of rainfall and crop yield in a farming community. What kind of study is this?

Explanation

This is an observational study because you're observing and collecting data on the existing conditions (rainfall and crop yield) without manipulating any variables.

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7. Which of the following measures of central tendency is most appropriate for skewed data?

Explanation

The median is the most appropriate measure for skewed data because it is not affected by extreme values and provides a better representation of the central value in such cases.

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8. A student organization wants to assess the attitudes of students towards a proposed change in the hours the library is open. They randomly select 50 freshmen, 50 sophomores, 50 juniors, and 50 seniors to survey. This situation is described as  

Explanation

A- since students are divided into strata by grade, this is a stratified random sample

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9. Melanie bakes two identical batches of cookies from a recipe, except one batch is made with sugar and the other batch is made with a sugar substitute. She puts the two batches of cookies into identical jars labeled "A" and "B." She invites her friends to sample each type of cookie and to choose which cookie tastes best. What type of experimental design has she used?  

Explanation

B, Melanie knows which type of cookie is in each jar, but her friends do not. This is the definition of a single-blind experiment: the researcher knows who is getting which treatment, but the subjects do not know.

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10. You collect data on the number of hours your classmates spend on social media daily and find that the data forms a bell-shaped curve. What can you infer about the data distribution?

Explanation

If the data forms a bell-shaped curve, you can infer that "the data is normally distributed." A bell-shaped curve, also known as a Gaussian or normal distribution, is symmetrical, with the mean, median, and mode all located at the center. The normal distribution has the following characteristics:

Symmetry: The left and right halves of the curve are mirror images of each other, indicating that the data is not skewed to the left or right.
Central tendency: The mean, median, and mode are all located at the center of the distribution.
Variability: The standard deviation determines the width of the bell curve, with a smaller standard deviation resulting in a narrower curve and a larger standard deviation resulting in a wider curve.

In a normal distribution, approximately 68% of the data points lie within one standard deviation from the mean, 95% lie within two standard deviations, and 99.7% lie within three standard deviations. This characteristic makes the normal distribution a common model in statistics and data analysis.
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11. In a survey, students were asked to report the number of hours they study each week. What type of data is this?

Explanation

The number of hours students study each week is a continuous variable because it can take on any value within a range (e.g., 0.5 hours, 3.2 hours, 7.8 hours), and it can have decimal places, indicating continuity.

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12. In a survey, respondents were asked to rate a new product on a scale from 1 (poor) to 5 (excellent). What type of data is this?

Explanation

The data is ordinal because the categories (poor, fair, good, very good, excellent) have a clear order, but the intervals between them are not consistent or meaningful.

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13. Your company has developed a new treatment for acne.  You think men and women might react differently to the medication, so you separate them into two groups.  Then the men are randomly assigned to two groups and the women are randomly assigned to two groups.  One of the two groups is given the medication and the other is given a placebo. The basic design of this study is  

Explanation

B - you block men and women into different groups because you are concerned that differential reactions to the medication may confound the results. It is not completely randomized because it is blocked.

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14. A group of 420 college students are enrolled in a blind test. The schools food service wants to see if they can improve the taste of their lattes. They decide to try two types of coffee beans (Aracabia and Robusta); three types of syrup (vanilla, hazelnut, and mocha); and two types of milk (soy and low fat). The best combination of ingredients is sought. The latte experiment will have

Explanation

E- The correct answer is E because three factors (coffee, syrup, milk), 7 levels (2 choices of coffee, 3 choices of syrup, 2 choices of milk), and 2x3x2= 12 combinations

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15. Data were collected in 20 cities on the percentage of women in the workforce.  Data were collected in 1990 and again in 1994.  Gains, or losses, in this percentage were the measurement upon which the studies conclusions were to be based.  What kind of design was this?   I. A matched pairs design II. An observational study III. An experiment using a block design

Explanation

E - the data are paired because there are two measurements on each city so the data are not independent. There is no treatment being applied, so this is an observational study. Matched pairs is one type of block drain, but this is NOT an experiment, so III is false.

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What type of sampling method is used when you select every 10th item...
A television station broadcast a court trial in its entirety. During a...
You want to determine if there's a relationship between the amount...
You want to do a survey of members of the senior class at your school...
A recent study showed that tea drinkers have lower stress levels than...
You want to investigate the relationship between the amount of...
Which of the following measures of central tendency is most...
A student organization wants to assess the attitudes of students...
Melanie bakes two identical batches of cookies from a recipe, except...
You collect data on the number of hours your classmates spend on...
In a survey, students were asked to report the number of hours they...
In a survey, respondents were asked to rate a new product on a scale...
Your company has developed a new treatment for acne.  You think...
A group of 420 college students are enrolled in a blind test. The...
Data were collected in 20 cities on the percentage of women in the...
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