Use MyLab Statistics to answer question regarding statistical measures, shapes of statistical distributions, normal distributions, the central limit theorem, and probabilities. You may wish to complete the practice homework before completing the assessment to practice the skills needed.
In your professional life, using mathematical tools to help you create data visualizations can build your problem-solving skills and deliver results that meet high standards. Let’s say, for example, that you manage a doughnut shop, and the owner is considering investing in an expensive doughnut-making machine to keep up with increasing orders. For the most part, the machine makes all doughnuts a certain width, but customer reviews indicate that the machine doesn’t always work as expected.
You’re concerned that if the machine makes doughnuts too big, too often, the shop will end up losing money on wasted dough. You buy the machine and then using Microsoft Excel, you decide to record the widths of doughnuts made by the machine over time. Then, you plot the data into a simple graph to visualize the distribution (all the possible values) of those widths so you can see how often the machine is making donuts that are too big or too small.
Probability is also an important concept. A wide variety of occupations such as advertising, marketing, public relations, and sales regularly use probability to make crucial decisions in their lines of work. Before a product ever reaches the assembly line, for example, there are professionals making predictions about how much the company will probably sell, and gathering the data on the people who will probably buy it. You can use the same techniques as these professionals to gather reliable data, make predictions, and identify potential solutions about the problems you encounter in this course and beyond.
Preparation
You have read about and practiced problems dealing with the mean, median, and mode, measures of variation, normal distribution, probability, and the law of large numbers. You now have an opportunity to test your skills on these concepts.
You can prepare by following these suggestions:
You have two chances to take the quiz (the higher score counts).
Allocate sufficient time to ensure you will be able to complete the quiz within the allotted time. There is a 120-minute time limit for the quiz.
Remember that you cannot stop and restart the test. You must answer all of the questions within one session; you cannot log out of the quiz in the middle of taking it and then go back in later to finish it.
If you have any issues or questions, contact your faculty.
To access the quiz:
Sign into MyLab, and click the Homework and Tests link.
Select Quiz 2, which is located in the middle of the page.
Prior to starting, make sure you read the instructions and reminders located on the “Are you ready to start” page.
Once you are ready to actually start the quiz, click I am ready to start, which is located on the right-hand side of the page.
Complete questions 1–20.
Once you have submitted the quiz, your grade is recorded. You will be brought to a screen on which you can see your grade and the results of each quiz question.
Competencies Measured
By successfully completing this assessment, you will demonstrate your proficiency in the course competencies through the following assessment scoring guide criteria:
Competency 2: Solve mathematical problems using statistical methods and tools to draw conclusions.
Calculate measures of center and make conclusions using measures of center
Compare variability for different samples.
Determine and interpret the shape of a distribution.
Calculate measures of variability.
Use standard deviation as a measure of risk.
Define normal distribution.
Explain features of a normal distribution.
Identify a normal distribution from a histogram.
Use a normal distribution curve to find relative frequencies.
Use a normal distribution to find percentages.
Use a normal distribution table to find percentages.
State the central limit theorem.
Calculate mean and standard deviation for sample means.
Evaluate a probability experiment.
Identify statistically significant outcomes.
Estimate probabilities.
Determine the probability of an event.
Determine the probability of an event.
Determine the probability of an event.
Determine the expected value of a variable
