A survey found that the average hotel room rates and standard deviations for the state ofMinnesota and the state of West Virginia. Assume that the data were obtained from twosamples were normally distributed. At a=0.1 level of significance, can it be concluded thatthere is a significant difference in the rates? Use the data table below. Report only the valuerequired from the question below make sure to express your final answers in 4 decimalplaces.WestParameter MinnesotaVirginiaSamplesize92.0090.00samplemean349.43360.89populationstandarddeviation30.0731.99a. p-value:

We have given that Sample sizes n1=92 , n2= 90 Sample means X̄1= 349.44 , X̄2= 360.89…

Answered: A survey found that the average hotel…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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Use the given data values (a sample of female arm circumferences in centimeters) to identify the corresponding z scores that are used for a normal quantile plot, then identify the coordinates of each point in the normal quantile plot. Construct the normal quantile plot, then determine whether the data appear to be from a population with a normal distribution. 33.9, 37.9, 43.8, 32.8, 40.1 Question content area bottom Part 1 List the z scores for the normal quantile plot. Part A -List the z scores for the normal quantile plot. Part B- Identify the coordinates of each point in the normal quantile plot. Use ordered pairs for the form (x,y), where x is the sorted arm circumferences in ascending order, and y is the corresponding z score. Part C- Do the data come from a normally distributed population?
Find the range, the standard deviation, and the variance for the given samples. Round non-integer results to the nearest tenth. 74, 47, 85, 50, 62, 93, 56, 57, 75 range standard deviation variance
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 0.10 to test for a difference between the weights of discarded paper (in pounds) and weights of discarded plastic (in pounds). Click the icon to view the data In this example, Hg 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? O A. H9: Ha =0 H1: Ha 0
INSTRUCTION: Perform an appropriate statistical test using the dataset (Sheet name: Cholesterol) if a researcher would like to determine if there is a significant difference in the "Cholesterol" level before ("Pre") and after ("Post") the treatment or therapy? Dataset for this can be retrieved on the given Excel. 1. What is the computed p-value for the given data on the "Cholesterol" level before ("Pre") and after ("Post") the treatment or therapy? Round it off to two decimal places. Then, answer (YES or NO) if there is a significant difference in the "Cholesterol" level before ("Pre") and after ("Post") the treatment or therapy? 2. What is the computed Mean of "Post" on the given data for Cholesterol? Round it off to two decimal places. 3. What is the computed Standard Deviation of "Pre" on the given data for Cholesterol? Round it off to two decimal places.
The ages in years of a random sample of shoppers at a gaming store are shown. Determine the range, mean, variance, and standard deviation of the sample data set 12,17,23,14,17,16,20,17,13,15
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
The data is in the height column. Answer 7 to 10
I vacuum cleaners. The weights are classified according to vacuum cleaner type. At a=0.10, can you conclude that at least one mean vacuum cleaner weight is different The table available below shows the weights (in pounds) for a sample from the others? E Click the icon to view the vacuum cleaner weight data. Let Hgu. PBLU and PTC represent the mean weights for bagged upright, bagless upright, and top canister vacuums respectively. What are the hypotheses for this test? O A. Ho: Heu * PBLU HTC H PBU PBLU =HTC Weight of Vacuum Cleaners by Type O B. Ho: At least one of the means is different. H PBu = HBLUu =PTC &c. Họ: PBU = HBLU =HTC Bagged upright 22 19 Bagless upright Top canister 21 22 23 25 H: At least one of the means different. 17 20 15 18 18 19 O D. Ho: PBU = PBLU "HTC 23 20 26 25 22| 23 Ha: Peu * PBLU *HTC What is the test statistic? Print Done F= (Round to two decimal places as needed.)
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1. Measure your height and find how many standard deviations you are from 50th percentile using the Anthropometry table in slide 17 in the Anthropometry slides. My height is 5 feet 7 inches. 2. Using this measured stature, estimate the lengths of your forearm, foot, and hand (https://exrx.net/Kinesiology/Segments). 3. Measure your forearm, foot, and hand using a tape measure (or some other device).( forearm= 7inches; foot=10inches; hand=22inches). 4. Indicate the error in %s for each segment (compare measured vs table value), and indicate which if your 3 segments was the furthest off.
All of the data is in the two pictures
Find the range, the standard deviation, and the variance for the given samples. Round noninteger results to the nearest tenth. 91, 78, 89, 70, 90, 75, 84, 98, 96, 79, 77 range standard deviation variance

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