An assembly operation in a manufacturing plant requires a one-month training period for a newemployee to reach maximum efficiency. A new method of training was suggested and a testwas conducted to compare the new method with the standard procedure. Two groups of 36new employees were trained, one group using the new method and the other using thestandard procedure. The length of time in minutes required for each employee to assemble adevice was recorded. After the hypothesis testing to see whether the mean time to assemble isless for the new training procedure at a = 0.05, we obtained part of output from the excel.Standard Procedure New ProcedureMeanVarianceObservationsPooled VarianceHypothesized Mean Differencedft StatP(T<=t) one-tailt Critical one-tailP(T<=t) two-tailt Critical two-tail33.2783.521365.9250.000??1.6671.99432.1118.33036a. What is the df?b. What is the t statistic?C. Which critical value should be used in this question, and what is the conclusion?

Given The value of pooled-standard deviation has been shown in the output of excel which means…

Answered: An assembly operation in a…

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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A clinical trial is planned to compare an experimental medication designed to lower blood pressure to a placebo. Before starting the trial, a pilot study is conducted involving eight participants. The objective of the study is to assess how systolic blood pressure changes over time untreated. Systolic blood pressures are measured at baseline and again 4 weeks later Is there a statistically significant difference in blood pressures over time? Run the test at a 5% level of significance. Give each of the following to receive full credit: 1) the appropriate null and alternative hypotheses; 2) the appropriate test; 3) the decision rule; 4) the calculation of the test statistic; and 5) your conclusion including a comparison to alpha or the critical value. You MUST show all your work to receive full credit. Partial credit is available. Baseline 4 weeks 135 136 150 142 143 135 160 158 152 155 143 140 133 128 146 129
Why would the null hypothesis not be the mean lifespan of sexually inactive males (62.5)?
Acne is a common skin disease that affects most adolescents and can continue into adulthood. A study compared the effectiveness of three acne treatments and a placebo, all in gel form, applied twice daily for 12 weeks. The study's 517 teenage volunteers were randomly assigned to one of the four treatments. Success was assessed as clear or almost clear skin at the end of the 12 week period. The results of the study can be seen in the table below. Using the appropriate statistical test, determine if there is significant evidence that the four treatments perform differently. If so, how do they compare.
A company that manufactures baseball bats believes that its new bat will allow players to hit the ball 30 feet farther than its current model. The owner hires a professional baseball player known for hitting home runs to hit ten balls with each bat and he measures the distance each ball is hit to test the company's claim. The results of the batting experiment are shown in the following table. Construct a 90 % confidence interval for the true difference between the mean distance hit with the new model and the mean distance hit with the older model. Assume that the variances of the two populations are the same. Let Population 1 be the distances of balls hit with the new model baseball bat and Population 2 be the distances of balls hit with the old model. Round the endpoints of the interval to one decimal place, if necessary. Hitting Distance (in Feet) New Model Old Model 215 234 202 298 224 294 211 246 215 268 248 211 255 226 228 284 247 221 214 259
Please show workings to obtain answer.
A bank conducts a survey in which it randomly samples 400 of its customers. The survey asks the customers which way they use the bank the most: (1) interacting with a teller at the bank, (2) using ATM's or (3) using the bank's online banking service. It also asks their level of satisfaction with the service they most often use (on a scale of 0-10 with 0= very poor and 10=excellent). Does mean satisfaction differ according to how they most use the bank? a) Identifying notation, state the null hypothesis and alternative hypothesis for conducting an ANOVA with data from the survey. b) Report the df values for this ANOVA. Above what F statistic values give a P=value below 0.05? c) For the data, F=0.46 and the P-value equals 0.63. what can you conclude? d)What were the assumptions on which the ANOVA was based? Which assumption is the most important? e) based on answer C, do you think it is necessary to conduct Tukey's multiple comparisons? Why or why not?
In a science fair project, Emily conducted an experiment in which she tested professional touch therapists to see if they could sense her energy field. She flipped a coin to select either her right hand or her left hand, and then she asked the therapists to identify the selected hand by placing their hand just under Emily's hand without seeing it and without touching it. Among 337 trials, the touch therapists were correct 163 times. Using Emily's sample results, construct a 95% confidence interval estimate of the proportion of correct responses made by touch therapists. (round to 3 decimal places)
You read an online article that claims that 62% of 8-year-olds have social media accounts. You want to investigate that specific claim, so you set up a one-way chi square analysis and recruit 130 8-year-old participants for your sample. What is the expected frequency for the number of 8-year-olds in your sample who have social media accounts? mard Next
A company that manufactures baseball bats believes that its new bat will allow players to hit the ball 30 feet farther than its current model. The owner hires a professional baseball player known for hitting home runs to hit ten balls with each bat and he measures the distance each ball is hit to test the company's claim. The results of the batting experiment are shown in the following table. Construct a 90 % confidence interval for the true difference between the mean distance hit with the new model and the mean distance hit with the older model. Assume that the variances of the two populations are the same. Let Population 1 be the distances of balls hit with the new model baseball bat and Population 2 be the distances of balls hit with the old model. Round the endpoints of the interval to one decimal place, if necessary. Hitting Distance (in Feet) New Model 246 240 272 262 237 250 247 235 261 216 Old Model 293 232 299 279 239 228 256 292 272 298
A company that manufactures baseball bats believes that its new bat will allow players to hit the ball 3030 feet farther than its current model. The owner hires a professional baseball player known for hitting home runs to hit ten balls with each bat and he measures the distance each ball is hit to test the company’s claim. The results of the batting experiment are shown in the following table. Construct a 90%90% confidence interval for the true difference between the mean distance hit with the new model and the mean distance hit with the older model. Assume that the variances of the two populations are the same. Let Population 1 be the distances of balls hit with the new model baseball bat and Population 2 be the distances of balls hit with the old model. Round the endpoints of the interval to one decimal place, if necessary. Hitting Distance (in Feet) New Model Old Model 264264 271271 232232 264264 261261 275275 251251 258258 205205 249249 293293 235235 207207…
Define the Independent t Test for Two Samples and explain what why the word "independence" is used. In addition, come up with two hypothetical examples demonstrating this strategy or come up with "real-world" application using your professional life (i.e. how could you apply this in your work).
What is the critical value? What is the p value?

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