\[\begin{array} { | c | c | } \hline \text { Weight (pounds) } & \text { Frequency } \\ \hline 6 & 1 \\ \hline 7 & 2 \\ \hline 8 & 2 \\ \hline 9 & 5 \\ \hline 10 & 3 \\ \hline 11 & 2 \\ \hline 12 & 1 \\ \hline \end{array}\] Which of the following is true about the weight of mutant cats?

A) The weight of mutant cats is normally distributed. B) The weight of mutant cats is positively skewed. C) The weight of mutant cats is negatively skewed. D) The weight of mutant cats is a continuous uniform distribution. A) The weight of mutant cats is normally distributed. B) The weight of mutant cats is positively skewed. C) The weight of mutant cats is negatively skewed. D) The weight of mutant cats is a continuous uniform distribution.

Exam 6: Where Am I Normal Distributions and Standard Scores

Length (inch) Frequency 0.1 2 0.2 3 0.3 3 0.4 5 0.5 4 0.6 2 0.7 2 Adele is studying a new species of insect that emits an odor perceived to be pleasant to humans. The known population consists of 21 insects. Adele has measured the length of each one. What is the population mean?

(Multiple Choice)

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Question 41

The difference in height between the tallest and shortest student in a class is a:

(Multiple Choice)

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Question 42

Length (inch) Frequency 0.1 2 0.2 3 0.3 3 0.4 5 0.5 4 0.6 2 0.7 2 Adele is studying a new species of insect that emits an odor perceived to be pleasant to humans. The known population consists of 21 insects. Adele has measured the length of each one. An insect that is 0.7 inches long would have a deviation score of:

(Multiple Choice)

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Question 43

Dean would like to compare the relative performance of his son, Andy, on two different tests of verbal fluency. Even though he has Andy's scores, and the typical score and standard deviation for both tests, Dean has insufficient information.

(True/False)

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Question 44

What is the difference in probability of getting a z-score of at least 0.3 and getting a z-score of at least 1.75? Show each step of your calculation.

(Short Answer)

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Question 45

Weight (pounds) Frequency 6 1 7 2 8 2 9 5 10 3 11 2 12 1 Which of the following is true about the weight of mutant cats?

(Multiple Choice)

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Question 46

Given that Jack's score on a test with a mean of 10 and standard deviation of 2 is 15, what is his z-score on the test?

(Multiple Choice)

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Question 47

A deviation score is obtained by subtracting the observed mean from the population mean.

(True/False)

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Question 48

In a normal distribution of scores from a test, the median is the score that occurs the most often.

(True/False)

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Question 49

What is the difference in probability of getting a z-score of at least 0 and getting a z-score of at least 0.5?

(Multiple Choice)

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Question 50

Length (inch) Frequency 0.1 2 0.2 3 0.3 3 0.4 5 0.5 4 0.6 2 0.7 2 Adele is studying a new species of insect that emits an odor perceived to be pleasant to humans. The known population consists of 21 insects. Adele has measured the length of each one. What is the population mean?

The difference in height between the tallest and shortest student in a class is a:

Dean would like to compare the relative performance of his son, Andy, on two different tests of verbal fluency. Even though he has Andy's scores, and the typical score and standard deviation for both tests, Dean has insufficient information.

What is the difference in probability of getting a z-score of at least 0.3 and getting a z-score of at least 1.75? Show each step of your calculation.

Weight (pounds) Frequency 6 1 7 2 8 2 9 5 10 3 11 2 12 1 Which of the following is true about the weight of mutant cats?

Given that Jack's score on a test with a mean of 10 and standard deviation of 2 is 15, what is his z-score on the test?

A deviation score is obtained by subtracting the observed mean from the population mean.

In a normal distribution of scores from a test, the median is the score that occurs the most often.

What is the difference in probability of getting a z-score of at least 0 and getting a z-score of at least 0.5?

Introduction: Statistics--Who Needs Them

Types of Data

A Picture Is Worth a Thousand Words: Creating and Interpreting Graphics

Measures of Central Tendency: Whats so Average About the Mean

Variability: the Law of Life

Basic Probability Theory

The Central Limit Theorem and Hypothesis Testing

The Z-Test

The T-Test

Analysis of Variance

Confidence Intervals and Effect Size: Building a Better Mousetrap

Correlation and Regression: Are We Related

The Chi-Square Test

Non-Parametric Tests

Which Test Should I Use and Why

Filters