Purchase Solution

Confidence Interval and Normality Assumption for Number of Unpopped Popcorn Kernels

Not what you're looking for?

Ask Custom Question

Biting an unpopped kernel of popcorn hurts! As an experiment, a self-confessed connoisseur of cheap popcorn carefully counted 773 kernels and put them in a popper. After popping, the unpopped kernels were counted. There were 86.

a) Construct a 90% confidence interval for the proportion of all kernels that would not pop.
b) Check the normality assumption
c) Try the Very Quick Rule. Does it work well here? Why or why not?
d) Why might this sample not be typical?

Please show all steps.

Purchase this Solution
Solution Summary

Excel spreadsheet attached shows how to construct a 90% confidence interval, check normality assumption, execute the Very Quick Rule and decide if a sample is typical.

Purchase this Solution
Free BrainMass Quizzes
Terms and Definitions for Statistics

This quiz covers basic terms and definitions of statistics.

Know Your Statistical Concepts

Each question is a choice-summary multiple choice question that presents you with a statistical concept and then 4 numbered statements. You must decide which (if any) of the numbered statements is/are true as they relate to the statistical concept.

Measures of Central Tendency

This quiz evaluates the students understanding of the measures of central tendency seen in statistics. This quiz is specifically designed to incorporate the measures of central tendency as they relate to psychological research.

Measures of Central Tendency

Tests knowledge of the three main measures of central tendency, including some simple calculation questions.

View More Free Quizzes
Related BrainMass Solutions

  • Confidence Intervals for Number of Unpopped Popcorn Kernels

    177448 Confidence Intervals for Number of Unpopped Popcorn Kernels Biting an unpopped kernel of popcorn hurts! As an experiment, a self-confessed connoisseur of cheap popcorn carefully counted 773 kernels and put them in a popper.

  • Confidence Interval - Biting an unpopped kernel of popcorn

    202445 Confidence Interval - Biting an unpopped kernel of popcorn Biting an unpopped kernel of popcorn hurts! As an experiment,a self confessed connoisseur of cheap popcorn carefully counted 773 kernels and put them in a popper.

  • Confidence Interval, Normality Assumption & Very Quick Rule

    223699 Confidence Interval, Normality Assumption & Very Quick Rule Biting an unpopped kernel of popcorn hurts! As an experiment, a self-confessed connoisseur of cheap popcorn carefully counted 773 kernels and put them in a popper.

  • Applied Statistics: Phone Directory Samples and Popcorn Kernels

    Biting an unpopped kernel of popcorn hurts! As an experiment, a self-confessed connoisseur of cheap popcorn carefully counted 773 kernels and put them in a popper. After popping, the unpopped kernels were counted. There were 86.

  • Statistics - Confidence Interval

    (a) Construct a 90 percent confidence interval for the proportion of all kernels that would not pop. (b) Check the normality assumption. (c) Try the Very Quick Rule. Does it work well here? Why, or why not? (d) Why might this sample not be typical?

  • Confidence interval

    After popping, the unpopped kernels were counted. There were 86. (a) Construct a 90 percent confidence interval for the proportion of all kernels that would not pop. (b) Check the normality assumption. (c) Try the Very Quick Rule.

  • Statistics - Confidence Intervals

    (a) Construct a 90 percent confidence interval for the proportion of all kernels that would not pop. (b) Check the normality assumption. (c) Try the Very Quick Rule. Does it work well here? Why, or why not? (d) Why might this sample not be typical?

  • Statistics - Biting an unpopped kernel of popcorn hurts

    After popping, the unpopped kernels were counted. There were 86. (a) construct a 90 percent confidence interval for the proportion of all kernels that would not pop. (b) check the normality assumption (c) Try the very quick rule.

  • As an experiment, a self-confessed connoisseur of cheap popc

    (a) Construct a 90 percent confidence interval for the proportion of all kernels that would not pop. (b) Check the normality assumption. The sample proportion is p = x/n = 86/773 = 0.1113 The z-value corresponding to a = 0.10 is 1.645 a.

View More Related Solutions