Warning: foreach() argument must be of type array|object, bool given in /var/www/html/web/app/themes/studypress-core-theme/template-parts/header/mobile-offcanvas.php on line 20

Does Mars, Incorporated use the same proportion of red candies in its plain and peanut varieties? A random sample of 56 plain M\&M'S contained 12 red candies, and another random sample of 32 peanut M\&M'S contained 8 red candies. a. Construct a \(95 \%\) confidence interval for the difference in the proportions of red candies for the plain and peanut varieties. b. Based on the confidence interval in part a, can you conclude that there is a difference in the proportions of red candies for the plain and peanut varieties? Explain.

Short Answer

Expert verified
Short Answer: The 95% confidence interval for the difference in proportions of red candies in plain and peanut M&M's is calculated using the sample proportions, the standard error, and a critical value (z = 1.96). By analyzing the confidence interval, we can determine if there is a significant difference in the proportions of red candies for the two varieties.

Step by step solution

01

Calculate sample proportions

Calculate the sample proportions for the plain M&M's (d₁) and the peanut M&M's (d₂) by dividing the number of red candies by the total number of candies in each sample: \(d₁ = \frac{12}{56}\), \(d₂ = \frac{8}{32}\)
02

Calculate difference in proportions

Calculate the difference of the sample proportions: \(\overset{\ \ }{p} = d₁ - d₂ = \frac{12}{56} - \frac{8}{32}\)
03

Calculate the standard error of the difference in proportions

Calculate the standard error of the difference in proportions using the formula: \(\overset{\ \ }{SE}(d₁ - d₂) = \sqrt{\frac{d₁(1-d₁)}{n₁} + \frac{d₂(1-d₂)}{n₂}}\) Plug in the values: \(\overset{\ \ }{SE}(\overset{\ \ }{p})= \sqrt{\frac{\left( \frac{12}{56}\right) \left( 1 - \frac{12}{56}\right)}{56} + \frac{\left( \frac{8}{32}\right) \left( 1 - \frac{8}{32}\right)}{32}}\)
04

Construct the 95% confidence interval

Use the standard error and a critical value (z = 1.96 for a 95% confidence interval) to construct the confidence interval: \(\overset{\ \ }{p} \pm z * \overset{\ \ }{SE}(\overset{\ \ }{p})\) Plug in the values: \(\left( \frac{12}{56} - \frac{8}{32} \right) \pm 1.96 * \sqrt{\frac{\left( \frac{12}{56}\right) \left( 1 - \frac{12}{56}\right)}{56} + \frac{\left( \frac{8}{32}\right) \left( 1 - \frac{8}{32}\right)}{32}}\)
05

Draw conclusions based on the confidence interval

Calculate the confidence interval and observe if it includes zero. If it does, we cannot conclude that there's a significant difference in the proportions of red candies for the plain and peanut varieties. If it doesn't include zero, we can conclude that there's a significant difference. Based on the calculated confidence interval, we can determine whether there is a difference in the proportions of red candies for the plain and peanut varieties.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with Vaia!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Do our children spend as much time enjoying the outdoors and playing with family and friends as previous generations did? Or are our children spending more and more time glued to the television, computer, and other multimedia equipment? A random sample of 250 children between the ages of 8 and 18 showed that 170 children had a TV in their bedroom and that 120 of them had a video game player in their bedroom. a. Estimate the proportion of all 8 - to 18 -year-olds who have a TV in their bedroom, and calculate the margin of error for your estimate. b. Estimate the proportion of all 8 - to 18 -year-olds who have a video game player in their bedroom, and calculate the margin of error for your estimate.

An experiment was conducted to compare two diets \(\mathrm{A}\) and \(\mathrm{B}\) designed for weight reduction. Two groups of 30 overweight dieters each were randomly selected. One group was placed on diet \(\mathrm{A}\) and the other on diet \(\mathrm{B},\) and their weight losses were recorded over a 30 -day period. The means and standard deviations of the weight-loss measurements for the two groups are shown in the table. Find a \(95 \%\) confidence interval for the difference in mean weight loss for the two diets. Interpret your confidence interval. $$\begin{array}{ll}\text { Diet } A & \text { Diet B } \\\\\hline \bar{x}_{A}=21.3 & \bar{x}_{B}=13.4 \\\s_{A}=2.6 & s_{B}=1.9\end{array}$$

A study was conducted to compare the mean numbers of police emergency calls per 8 -hour shift in two districts of a large city. Samples of 100 8-hour shifts were randomly selected from the police records for each of the two regions, and the number of emergency calls was recorded for each shift. The sample statistics are listed here: $$\begin{array}{lcc} & \multicolumn{2}{c} {\text { Region }} \\\\\cline { 2 - 3 } & 1 & 2 \\\\\hline \text { Sample Size } & 100 & 100 \\\\\text { Sample Mean } & 2.4 & 3.1 \\\\\text { Sample Variance } & 1.44 & 2.64\end{array}$$ Find a \(90 \%\) confidence interval for the difference in the mean numbers of police emergency calls per shift between the two districts of the city. Interpret the interval.

In a study to compare the effects of two pain relievers it was found that of \(n_{1}=200\) randomly selectd individuals instructed to use the first pain reliever, \(93 \%\) indicated that it relieved their pain. Of \(n_{2}=450\) randomly selected individuals instructed to use the second pain reliever, \(96 \%\) indicated that it relieved their pain. a. Find a \(99 \%\) confidence interval for the difference in the proportions experiencing relief from pain for these two pain relievers. b. Based on the confidence interval in part a, is there sufficient evidence to indicate a difference in the proportions experiencing relief for the two pain relievers? Explain.

To compare the effect of stress in the form of noise on the ability to perform a simple task, 70 subjects were divided into two groups. The first group of 30 subjects acted as a control, while the second group of 40 were the experimental group. Although each subject performed the task in the same control room, each of the experimental group subjects had to perform the task while loud rock music was played. The time to finish the task was recorded for each subject and the following summary was obtained: $$\begin{array}{lll} & \text { Control } & \text { Experimental } \\\\\hline n & 30 & 40 \\\\\bar{x} & 15 \text { minutes } & 23 \text { minutes } \\ s & 4 \text { minutes } & 10 \text { minutes }\end{array}$$ a. Find a \(99 \%\) confidence interval for the difference in mean completion times for these two groups. b. Based on the confidence interval in part a, is there sufficient evidence to indicate a difference in the average time to completion for the two groups? Explain.

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.

Sign-up for free