Statistics and Experimental Design Quiz
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Statistics and Experimental Design Quiz

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Questions and Answers

What type of analysis should Mike use to compare the GPA between freshmen, sophomores, juniors, and seniors?

one-way ANOVA

What type of analysis should Mike use after regrouping his participants into upperclassmen and lowerclassmen?

t-test

Moa's experiment on employee productivity is a ___ design.

between participant, quasi-experimental design

What is the median and mode of your last test with an average of 70 and a normal distribution?

<p>70</p> Signup and view all the answers

What was your grade if your z-score was +2 with an average of 70 and standard deviation of 10?

<p>90</p> Signup and view all the answers

What percentage of your class scored between 60 and 80 if the standard deviation is 10 and the average is 70?

<p>0.6826</p> Signup and view all the answers

What is your friend's z-score if they scored 55 with an average of 50 and a standard deviation of 10?

<p>+0.5</p> Signup and view all the answers

What score does a z of 0 correspond to if the average is 50?

<p>50</p> Signup and view all the answers

95% of the people get between ___ and ___ dates based on an average of 5 with a standard deviation of 1.

<p>3:7</p> Signup and view all the answers

What happens to the interval when changing from a 95% confidence interval to a 99% confidence interval?

<p>gets wider</p> Signup and view all the answers

What happens to the 95% confidence interval when increasing the sample size from n=50 to n=5000?

<p>gets narrower</p> Signup and view all the answers

According to the Central Limit Theorem, what happens to the mean of the sample as the sample size increases?

<p>the mean of the sample approaches the population mean</p> Signup and view all the answers

What happens to the variability of the distribution of sample means if the sample size increases?

<p>variability goes down</p> Signup and view all the answers

According to the Central Limit Theorem, what happens to the shape of the sample as the sample size increases?

<p>the distribution of sample means becomes normal</p> Signup and view all the answers

What can be expected about the shape of the sampling distribution of sample means if the sample size goes from 5 to 10,000?

<p>your distribution becomes normal</p> Signup and view all the answers

How are the variance and the standard deviation different?

<p>the variance is usually bigger than the standard deviation</p> Signup and view all the answers

How are the variance and the standard deviation related?

<p>the standard deviation is the square root of the variance</p> Signup and view all the answers

If you scored an IQ of 130, what would your z-score be if the mean is 100 and standard deviation is 15?

<p>2</p> Signup and view all the answers

What z-score best corresponds to a test score at the 50th percentile?

<p>0</p> Signup and view all the answers

Which analysis should your professor use to predict your GPA based on the number of classes you take?

<p>regression</p> Signup and view all the answers

What analysis is used in a study comparing the tip percentage between two groups?

<p>t-test</p> Signup and view all the answers

68% of all pizza delivery times range between ___ and ___.

<p>25 and 35</p> Signup and view all the answers

If you scored an IQ of 122.5, what would your z-score be?

<p>1.5</p> Signup and view all the answers

What does the graph show regarding the central limit theorem?

<p>the central limit theorem</p> Signup and view all the answers

What is a z-score?

<p>is basically a deviation score just expressed in terms of standard deviations</p> Signup and view all the answers

Study Notes

Analysis Types

  • One-way ANOVA is used to compare the GPA across multiple groups, such as freshmen, sophomores, juniors, and seniors.
  • A t-test is appropriate for comparing the GPA between two groups, like upperclassmen and lowerclassmen.

Experimental Design

  • A between-participant, quasi-experimental design measures productivity differences between employees working different schedules (10 hour days vs. 8 hour days).

Statistical Data

  • In a normally distributed test scoring, both the median and mode are equal to the average score, which is 70.
  • A z-score of +2 corresponds to a grade of 90 when the test mean is 70 and the standard deviation is 10.

Percentile and Standard Deviation

  • Approximately 68.26% of scores fall within one standard deviation (60-80) from the mean in a normal distribution.
  • A z-score calculates the position of a score in relation to the mean, with a +0.5 indicating a score of 55 in a test with a mean of 50.

Confidence Intervals

  • Changing a confidence interval from 95% to 99% results in a wider range due to increased uncertainty.
  • Increasing sample size from n=50 to n=5000 narrows the confidence interval, improving precision.

Central Limit Theorem

  • With an increased sample size, the sample mean tends closer to the population mean, and the variability of sample means decreases.
  • As sample size grows, the distribution of sample means approaches a normal shape, even if the parent population is skewed.

Variance and Standard Deviation

  • Variance represents the average of squared deviations from the mean and is typically larger than standard deviation.
  • Standard deviation is the square root of the variance.

IQ Scores and Percentiles

  • An IQ of 130 corresponds to a z-score of 2, while an IQ of 122.5 corresponds to a z-score of 1.5.
  • Scoring at the 50th percentile corresponds to a z-score of 0, indicating an average performance.

Predictive Analysis

  • Regression analysis is used to predict outcomes, such as GPA based on the number of classes taken.

Testing and Percentages

  • A study comparing tip percentages between groups receiving chocolate versus those who don't is analyzed with a t-test.
  • In a pizza delivery time distribution with a mean of 30 minutes and standard deviation of 5 minutes, 68% of delivery times fall between 25 and 35 minutes.

Z-score Definition

  • A z-score measures how many standard deviations a score deviates from the mean, providing context for an individual score within a distribution.

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Description

Test your knowledge on various statistical analysis types, including ANOVA, t-tests, and z-scores. This quiz covers experimental design and key concepts such as confidence intervals and standard deviations. Ideal for students looking to solidify their understanding of statistics.

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