The production manager wants to test whether there is a significant difference in the mean number of defectivebulbs per 100 bulbs among the three production shifts. A sample of production recors showed the following:6 a.m. - 2 pm. Shift 2 p.m. -10 Shift162120221817ES 19 OLA19 RUNI 20ERSI 282318252010 p.m. - 6 a.m.ShiftUsing a = 0.05 significance level.19257303227

The question is based on ANOVA Given : To find : To test whether there is signif. difference…

Answered: The production manager wants to test…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Which of these scenarios means that a pretest-posttest design with a non-equivalent control group is not suitable? Select all that apply. O a. All of the available participants will be receiving the intervention at the same time. O b. Authors want to examine for any trends in the data over time. O c. The participants were placed into the experimental and control groups by natural circumstances rather than random assignment. O d. Authors want to compare averages between two groups before and after the intervention using an ANOVA.
. The term sample usually refers to a sample that ___ - Consists of people with chemical dependency problems - Uses the same group of individuals with a before/after measurement - Requires a dependent variable for hypothesis testing - Is randomly selected from two dependent populations
In a random sample of 925 plain M&M's, 19% were blue. Use a 0.01 significance level to test the claim of Mars, Inc. that 24% of its plain M&M candies are blue. a. Define the parameter A. p = The proportion of all M&M's that are blue B. mu = The proportion of all M&M's that are blue C. mu = The mean number of all M&M's that are blue D. p = The proportion of all M&M's that are not blue b. State the null and alternative hypotheses A. Upper H 0 : p greater than 0.24 Upper H 1 : p equals 0.24 B. Upper H 0 : p equals 0.19 Upper H 1 : p not equals 0.19 C. Upper H 0 : p equals 0.24 Upper H 1 : p not equals 0.24 D. Upper H 0 : mu not equals 0.24 Upper H 1 : mu equals 0.24 c. Calculate the test statistic. Which of these options is closest to the test statistic? A. negative 4.00 B. negative 3.65 C.…
A random sample of 89 tourists in British Columbia showed that they spent an average of $2860 (in a week) with an assumed population standard deviation of $126; and a sample of 64 tourists in Alberta showed that they spent an average of $2935 (in a week) with an assumed population standard deviation of $138. We are interested in determining if there is any significant difference between the average expenditures of all the tourists who visited the two provinces.a. At a significance level of 0.05, are the two average expenditures significantly different? b. Calculate the 99% confidence interval and interpret your results?
A research poll was conducted to investigate opinions about global warming. The respondent who answered yes when asked if there is solid evidence that the earth is getting warmer were then asked to select a cause of global warming. The results for two age brackets are given in the table below. Human Activity Natural Patterns Don't know Under 30 108 41 7 65 and over 121 71 43 a. At the 1% significance level, test the claim that age bracket is independent of the choice for global warming. State the null and alternate hypothesis, find the test statistic and p-value, and state the decision. b. Do respondents from both age brackets appearto agree, or is there a substantial difference? What distribution is used to do the hypothesis testing? What is different about this C. distribution?
When students use the bus from their dorms, they have an average commute time of 8.263 minutes with standard deviation 2.9321 minutes. Approximately 75.67% of students reported a commute time greater than how many minutes? Assume the distribution is approximately normal. Question 10 options: 1) 6.22 2) 2.28 3) 14.24 4) 10.3 5) We do not have enough information to calculate the value.
bcd.
Determine if there is a significant negative correlation between the sets of data at a 10% significance level. 41 39 52 33 39 47 58 61 60 y 28 33 14 41 32 21 8 4 5 Critical Value, tcrit = [three decimal accuracy] Test Statistic, ttest = [three decimal accuracy] Test Condusion: O Fail to Reject Họ. There is not enough evidence to suggest a negative significant linear correlation between the data sets. O Reject Ho. There is enough evidence to suggest a negative significant linear correlation between the data sets.
A study is done to determine if students in the California state university (CSU) system take longer to graduate, on average, than students enrolled in private universities using the significant level of 5%. One hundred students from both the California state university system and private universities are surveyed. Suppose that from years of research, it is known that the population standard deviations are 1.5811 years for CSU and 1 year for private universities. The following data are collected. The California state university system students took on average 4.5 years with a standard deviation of 0.8. The private university students took on average 4.1 years with a standard deviation of 0.3. What is the decision rule of rejecting the null hypothesis
Suppose two samples of subjects yield the following results : Sample1 Age 28 Mean weight 66.2 kg Standard 5 kg deviation Sample 2 Age 13 Mean weight 37.2 kg Standard Deviation 5kg Which has a greater dispersion (variability) the weight of the 28 years old or the weight of 13 years old?
The number of days between the receipt of a customer complaint and the resolution of the complaint, for a carpet installation company was collected. This data was used to generate the following boxplot and summary data. Days Mean 43.0 5 Number Summary Standard Error 5.9 Minimum 1 Median 28.5 Q1 15.25 Mode 5.0 Median 28.5 Standard Deviation 41.9 Q3 53.5 Sample Variance 1757.8 Maximum 165 Kurtosis 1.3 Skewness 1.5 Range 164.0 Minimum 1.0 Maximum 165.0 Sum 2152.0 Count 50.0 (a) Interpret the measures of central tendency. (b) Interpret the measures of variability. (c) Describe the shape of the data. (d) What can you conclude about how long a customer should expect to wait to have a complaint resolved?

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