The data table contains waiting times of customers at a bank, where customers enter a single waiting line that feeds three teller windows. Test the claim that the standard deviation of waiting times is less than 1.9 minutes, which is the standarddeviation of waiting times at the same bank when separate waiting lines are used at each teller window. Use a significance level of 0.05. Complete parts (a) through (d) below.EE Click on the icon to view the data.a. Identify the null and alternative hypotheses. Choose the correct answer below.Customer waiting timesA. Ho: 0=1.9 minutesHA:O<1.9 minutesO B. Ho: o<1.9 minutesHA: o = 1.9 minutesCustomer Waiting Times(in minutes)7.9OC. Ho g=1.9 minutesHA O 1.9 minutesO D. Ho: o2 1.9 minutesHA o<1.9 minutes6.87.26.39.26.97.96.27.87.66.57.8b. Compute the test statistic.6.27.911.96.97.27.47.77.35.37.76.56.513.2(Round to two decimal places as needed.)8.97.17.36.97.47.56.46.914.96.77.76.66.47.87.48.66.710.28.16.46.97.17.34.36.98.86.27.56.86.38.66.47.86.77.6

The data shows the waiting times of customers at a bank where customers enter a single line that…

Answered: The data table contains waiting times…

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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Please answer and explain #7
Using PivotTables, find the mean and standard deviation of sales by region in the data provided. LOADING... Click the icon to view the data. Question content area bottom Part 1 Complete the table below. (Type integers or decimals rounded to two decimal places as needed.) Average of Amount StdDev of Amount East enter your response here enter your response here North enter your response here enter your response here South enter your response here enter your response here West enter your response here enter your response here Grand Total enter your response here enter your response here
Use the Empirical Rule. The mean speed of a sample of vehicles along a stretch of highway is 68 miles per hour, with a standard deviation of 3 miles per hour. Estimate the percent of vehicles whose speeds are between 65 miles per hour and 71 miles per hour. (Assume the data set has a bell-shaped distribution.) Approximately nothing% of vehicles travel between 65 miles per hour and 71 miles per hour.
A data set lists weights (lb) of plastic discarded by households. The highest weight is 5.63 lb, the mean of all of the weights is x = 2.316 lb, and the standard deviation of the weights is s = 1.087 lb. a. What is the difference between the weight of 5.63 lb and the mean of the weights? b. How many standard deviations is that [the difference found in part (a)]? c. Convert the weight of 5.63 lb to a z score. d. If we consider weights that convert to z scores between 2 and 2 to be neither significantly low nor significantly high, is the weight of 5.63 lb significant? a. The difference is lb. (Type an integer or a decimal. Do not round.) Clear all Check awer
You wish to determine if there is a linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.01 and round all values to 4 decimal places. Driver Age 65 69 48 37 49 27 62 64 Ho: p = 0 Ha: p = 0 r= Find the p-value p-value= Number of Driver Deaths per 100,000 22 22 34 Find the Linear Correlation Coefficient The p-value is Greater than a Less than (or equal to) a 23 28 20 The p-value leads to a decision to O Do Not Reject Ho O Accept Ho O Reject Ho 33 33 The conclusion is O There is a significant negative linear correlation between driver age and number of driver deaths. There is a significant linear correlation between driver age and number of driver deaths. O There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths. O There is a significant positive linear correlation…
Refer to the data set in the accompanying table. Assume that the paired sample data is a simple random sample and the differences have a distribution that is approximately normal. Use a significance level of 0.05 to test for a difference between the weights of discarded paper (in pounds) and weights of discarded plastic (in pounds). LOADING... Click the icon to view the data. In this example, μd is the mean value of the differences d for the population of all pairs of data, where each individual difference d is defined as the weight of discarded paper minus the weight of discarded plastic for a household. What are the null and alternative hypotheses for the hypothesis test? A. H0: μd≠0 H1: μd>0 B. H0: μd=0 H1: μd<0 C. H0: μd=0 H1: μd≠0 D. H0: μd≠0 H1: μd=0 Household Paper Plastic 1 6.44 8.40 2 7.72 3.86 3 3.27 0.63 4 9.19 3.74 5 14.33 6.43 6 11.08 12.47 7…
The histogram for data is attached: Does it form a bell shaped curve? explain what this means and how it applies.
The amount of calories in a slice of cheese pizza follows a Normal Distribution with a mean of 264 calories and a standard deviation of 24 calories. For each question sketch a graph of the distribution demonstrating the value you are asked to find. A. What amount of calories represent the 67th percentile? i.e what amount of caloris is larger than 67% of slices? B.What amount of calories represents the top 1% of calories C. What amounts of calories represent the middle 41% of calorie?
ent will 3. The average price of a personal computer is $949. If the computer prices are approximately normally distributed with a standard deviation of $100... a. the top 20% of personal computers cost more than what amount? b. the least expensive 10% of personal computers cost less than what amount?
1. Using a calculator, solve for the mean and the standard deviation of the given set of data. a. 15,18, 16, 17, 21 b. 21,24, 31, 19, 25 C. 84,85, 94, 76, 89 d. 54,66, 51, 37,49
The following data represents the number of children in each household on Wisteria Lane. 1, 3, 4, 0, 0, 1, 2, 3, 2, 2 Match the correct value with the correct measure of spread. 1.04 1. Range 4 2. Interquartile Range 1.32 3. Mean Absolute Deviation 4. Standard Deviation
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