A manufacturer of colored candies states that 13% of the candies in a bag should be brown, 14% yellow, 13% red, 24% blue, 20% orange, and 16% green. A student randomly selected a bag of colored candies. He counted thenumber of candies of each color and obtained the results shown in the table. Test whether the bag of colored candies follows the distribution stated above at a = 0.05 level of significance. Using the level of significance a = 0.05,test whether the color distribution is the same.Click here to view the table, Click here to view the table of critical values of the chi-square distribution.O B. H,: The distribution of colors is at most as uniform as stated by the manufacturer.H,: The distribution of colors is more uniform than stated by the manufacturer.C. Ha: The distribution of colors is the same as stated by the manufacturer.H,: The distribution of colors is not the same as stated by the manufacturer.O D. H,: The distribution of colors is not the same as stated by the manufacturer.H,: The distribution of colors is the same as stated by the manufacturer.Compute the expected counts for each color.ColorFrequencyExpected CountBrown63Yellow67Red53Blue63Orange95Green64(Round to two decimal places as needed.)

Hypothesis : H0 : The distribution of colors is the same as stated by the manufacturer. H1 : The…

Answered: A manufacturer of colored candies…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Four factors are thought to influence the taste of the dietary product: A - type of sweetener; B – fruit content; C – percentage fat matter; D - temperature. A full factorial experiment was conducted with these 4 factors. At each run in the design, samples of the dietary product were tested by panel of experts who rated the taste on a scale from 1 to 10, the response variable taken being the sum of individual ratings. The results are listed in the table below, in the standard order of runs. Generate the design for this experiment, analyse the results by producing main effects and interactions plots and discuss the most significant factors that can be used to find a formulation that maximises the total score. Run (std order) 1 2 4 7 8 10 11 12 13 14 15 16 Total score 169 178 168 176 185 189 183 189 174 197 173 195 178 207 180 204
What is the t statistic for the top 3% for a sample size of 19.
Determine the sample in this research scenario: Dr. Eglovitch wants to know whether type of exercise, running or yoga, improves post-partum depression. One hundred women are recruited from obstetricians’ offices in the Richmond area. Group of answer choices A.100 postpartum women whose depression was measured B.Type of exercise C. Postpartum depression D. All postpartum women
A study compared the felt intensity of unrequited love among three groups - individuals who were currently experiencing unrequited love, those who had previously experienced unrequited love and described their experiences retrospectively, and those who had never experienced unrequited love but described how they thought they would feel if they were to experience it. The results of the study are summarized in the accompanying table. Determine the significance of the difference among groups, using the 5% level. N 40 40 40 M 3.5 3.3 3.7 S2 5.3 5.8 4.8 1. What is th null hyp? 2.The comparison distribution will be an F distribution with df= ? and df=? 3.Determine the cutoff sample score on the comparison distribution at which the null hypothesis should be rejected for the data. At 0.05 the cutoff for F=? 4. Determine the sample's score on the comparison distribution for the data. F=?
Bank of America's Consumer Spending Survey collected data on annual credit card charges in seven different categories of expenditures: transportation, groceries, dining out, household expenses, home furnishings, apparel, and entertainment. Using data from a sample of 42 credit card accounts, assume that each account was used to identify the annual credit card charges for groceries (population 1) and the annual credit card charges for dining out (population 2). Using the difference data, the sample mean difference was d = $850, and the sample standard deviation was Sd = $1,123. a. Formulate the null and alternative hypotheses to test for no difference between the population mean credit card charges for groceries and the population mean credit card charges for dining out. Hoμd Haμd - Select your answer - - Select your answer - b. Use a 0.05 level of significance. Can you conclude that the population means differ? - Select your answer - ✓ What is the p-value? (to 6 decimals) c. Which…
Cloud seeding, a process in which chemicals such as silver iodide and frozen carbon dioxide are introduced by aircraft into clouds to promote rainfall was widely used in many years. Recent research has questioned its effectiveness. An experiment as performed by randomly assigning 52 clouds to be seeded or not. The amount of rain generated was then measured in acre-feet. The box plot of the data for the seeded and unseeded clouds are shown in the figure. Which statement best interprets the box plot. Boxplot of Seeded, Unseeded 3000 f 2500어 2000 - 1500 - 1000 - 500- Seeded Unseeded a. Cloud seeding is somewhat effective in promoting rainfall because of the greater mean b. Outliers for both seeded and unseeded data may prove data on the effectiveness of cloud seeding is insufficient c. Extreme outliers are evident in the seeded data and has greater variance O d. There's a greater mean and greater dispersion in the seeded data. Both plots show outliers Data
A sample of students involved in laboratory accidents was categorized by age. The results appear as: Find the median score
Help. a. About what percent of women in North Arerica are between 58 and 68.5 inches tall? b. About what percent of women in North America are less than 65 inches tall? c. In what range do the middle 99.7% of women's height lie? d. About what percent of women in North America are at least 61.5 inches tal?
A real estate agent wishes to determine whether tax assessors and real estate appraisers agree on the values of homes. A random sample of the two groups appraised 10 homes. Is there a significant difference in the values of the homes for each group? Assume the data are from normally distributed populations. Real Estate Appraisers Tax Assessors: X1 = $83,256; s1 = $3256; n1 = 10 X2 = $88,354; s2 = $2341; n2 = 10
dults aged 18 years old and older were randomly selected for a survey on obesity. Adults are considered obese if their body mass index (BMI) is at least 30. The researchers wanted to determine if the proportion of southern women who are obese is less than the proportion of southern men who are obese. The results are shown in the table below. Test at the 1% level of significance. Number who are obese Sample size Men 42,773 155,525 Women 67,176 248,775 a.State the distribution to use for the test. (Round your answers to five decimal places. b. What is the test statistic c. Conduct a Hypothesis Test
A professor wants to know which type of instructional mode students had more satisfaction. The professor randomly selected n = 5 students from each of the following types of classes: online only, hybrid, and face-to face only. Student were given a satisfaction survey. Are their differences in student satisfaction among the different instructional modes. The data are below: Online Hybrid Face-to-Face 3 3 4 3 3 1 3 1 3 2 2 2 2 1 3 Using the table in the back of the book, find the critical value for F (Fcrit) with α = .05.
A consumer group wanted to determine if there was a difference in customer perceptions about prices for a specific type of toy depending on where the toy was purchased. In the local area there are three main retailers: W-Mart, Tag, and URToy. For each retailer, the consumer group randomly selected 5 customers, and asked them to rate how expensive they thought the toy was on a 1-to-10 scale (1= not expensive, to 10 = very expensive). The toy was priced the same at all retail stores. 1. What kind of statistical test should be used to test the consumer group's research goal, assuming that the researcher wanted to use the 1-to-10 scale as a numerical interval measure? A. Repeated-measures t-test B. One-way Independent Measures ANOVA C. Repeated-measures ANOVA D. Independent-measures t-test 2. State the hypothesis that aims to test the consumer group’s research goal (i.e., what is H0 and HA).

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS