Questions and Answers
Which of the following is NOT a descriptor of a normal distribution of a random variable?
Which of the following groups of terms can be used interchangeably when working with normal distributions?
A continuous random variable has a _______ distribution if its values are spread evenly over the range of possibilities.
uniform
Which of the following is NOT a requirement for a density curve?
Signup and view all the answers
Which of the following does NOT describe the standard normal distribution?
Signup and view all the answers
Finding probabilities associated with distributions that are standard normal distributions is equivalent to _______.
Signup and view all the answers
The notation P(z) is denoting that the population distribution is _______.
Signup and view all the answers
Which of the following is NOT a procedure for determining whether it is reasonable to assume that sample data are from a normally distributed population?
Signup and view all the answers
A _____________ is a graph of points (x,y) where each x-value is from the original set of sample data, and each y-value is the corresponding z-score that is a quantile value expected from the standard normal distribution.
Signup and view all the answers
Which of the following is NOT true in regards to using a normal quantile plot to determine whether or not a distribution is normal?
Signup and view all the answers
If you select a simple random sample of M&M plain candies and construct a normal quantile plot of their weights, what pattern would you expect in the graphs?
Signup and view all the answers
Determine whether the arrival delay times of airlines flights appear to be from a population with a normal distribution.
Signup and view all the answers
A critical value, z Subscript alpha, denotes the _______.
Signup and view all the answers
Which concept below is NOT a main idea of estimating a population proportion?
Signup and view all the answers
Which of the following groups has terms that can be used interchangeably with the others?
Signup and view all the answers
A _______ is a single value used to approximate a population parameter.
Signup and view all the answers
Which of the following is NOT true of the confidence level of a confidence interval?
Signup and view all the answers
Which of the following is NOT an observation about critical values?
Signup and view all the answers
Which of the following is NOT a requirement for constructing a confidence interval for estimating the population proportion?
Signup and view all the answers
When analyzing polls, which of the following is NOT a consideration?
Signup and view all the answers
Which of the following is NOT needed to determine the minimum sample size required to estimate a population proportion?
Signup and view all the answers
What important feature of the poll was omitted in a newspaper illustration showing that 26% of professionals identified a certain interview turnoff?
Signup and view all the answers
The number of _______ for a collection of sample data is the number of sample values that can vary after certain restrictions have been imposed on all data values.
Signup and view all the answers
Which of the following is NOT a property of the Student t distribution?
Signup and view all the answers
The _______ is the best point estimate of the population mean.
Signup and view all the answers
Which of the following calculations is NOT derived from the confidence interval?
Signup and view all the answers
Study Notes
Normal Distribution
- Normal distributions are symmetric, centered around the mean, which can be zero but is not a requirement.
- Common interchangeable terms in normal distributions include areas, probability, and relative frequencies.
- A uniform distribution has values spread evenly across its range.
Density Curves
- Density curves must adhere to specific requirements; being centered around zero is not one of them.
- A critical property of the standard normal distribution is that its graph is not uniform.
Probability and Standardization
- To find probabilities related to standard normal distributions, one must calculate the area of the shaded region in the graph.
- The notation P(z) indicates probabilities where z values correspond to standard normal distributions.
Normal Quantile Plots
- A normal quantile plot displays (x,y) points representing sample data against corresponding z-scores from the standard normal distribution.
- A normal quantile plot revealing a bell-shaped graph does not guarantee that the population distribution is normal.
Sample Data Analysis
- A histogram displaying non-bell-shaped data with multiple outliers indicates that the data does not follow a normal distribution.
- The critical value, zα, represents a z-score where an area of alpha exists to its right.
Confidence Intervals
- Estimating a population proportion utilizes a point estimate, which approximates a parameter with a single value.
- Confidence intervals have associated confidence levels; the concept that the true value of p will fall within the interval is important yet can be misunderstood.
- To determine minimum sample size for estimating a population proportion, the standard deviation is typically not needed.
Polling and Statistics
- Polling considerations should avoid voluntary response or convenience samples due to potential biases.
- Key features of polls include the margin of error, but the confidence level may sometimes be omitted despite its importance.
Student t Distribution and Degrees of Freedom
- The Student t distribution's standard deviation is not fixed at 1; it varies with sample size.
- Degrees of freedom represent the number of sample values that can differ based on imposed restrictions on data values.
Confidence Interval Interpretation
- A 99% confidence interval represents the degree of certainty that the population parameter lies within the specified range, reflecting statistical reliability.
Studying That Suits You
Use AI to generate personalized quizzes and flashcards to suit your learning preferences.
Description
This quiz explores the fundamentals of normal distribution, including properties of density curves, probability calculations, and normal quantile plots. Test your understanding of essential terms and concepts related to standard normal distributions. Perfect for anyone looking to deepen their knowledge of probability theory.