The Sally Coffee Shop is considering closing one hour earlier in the evening through the week Sally obtained the following data froma study taken last week of the number of customers between the hours of 10 and 11 pm, and the dollar value spent. (Round the finalanswers to 3 decimal places.)15 11MI871713a. Determine the standard error of estimate.Standard errorb. Suppose a large sample is selected (instead of just five). About 68% of the predictions would be between what two values?Assuming that the Standard Error of Estimate does not change.

The question is about regression.Given :To find :a ) Standard error of the estimateb ) 68% of…

Answered: The Sally Coffee Shop is considering…

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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20. For the data in the following sample: 10, 6, 8, 6, a. Find the mean and the standard deviation. b. Now change the score of X = 10 to X = 0, and find the new mean and standard deviation. c. Describe how one extreme score influences the mean and standard deviation.
solve question 5d
Use the table to find the standard score and percentile of the following data values. a. A data value 3 standard deviations below the mean. b. A data value 1.4 standard deviations below the mean. c. A data value 1.6 standard deviations above the mean. Click the icon to view the standard scores and percentiles f a. The standard score is -3, and the percentile is 0.13. (Type integers or decimals.) b. The standard score is (Type integers or decimals.) and the percentile is Standard Scores and Percentiles Standard Scores and Percentiles for a Normal Distribution z-score Percentile z-score Percentile Z-score Percentile z-score -3.5 50.00 0.02 <-1.0 15.87 0.0 0.13 -0.95 0.05 51.99 0.19 0.10 53.98 55.98 0.26 0.15 0.20 57.93 0.25 59.87 61.79 63.68 65.54 67.38 60.15 <-3.0 -29 -28 -27 -26 -25 -24 -23 -22 -21 0.35 0.47 0.62 0.82 1.07 1.39 1.79 <-0.90 -0.85 <-0.80 -0.75 -0.70 -0.65 -0.60 -0.55 <-0.50 17.11 18.41 19.77 21.19 22.66 24.20 25.78 27.43 29.12 30.85 0.30 0.35 0.40 0.45 0.50 2-score…
A governmental agency computed the proportion of violent crimes in the United States in a particular year falling into each of four categories. A simple random sample of 500 violent crimes committed in California during thatyear were categorized in the same way. The following table presents the results. S'. Proportion Frequency California Category Murder 0.018 4 Forcible Rape 0.062 24 Robbery 0.350 200 Aggravated Assault 0.570 272 Send data to Excel Can you conclude that the proportions of crimes in the various categories in California differ from those in the United States as a whole? Use the 0.1 level of significance and the P-value method with the TI-84 Plus calculator.
Suppose that the weights of packages shipped by Atlas Shipping are normally distributed, with mean 11.9 lbs and standard deviation 0.7 lbs. How much would a package need to weigh to be in the top 4% of all packages? Round z-score to 2 decimal places and Round your answer to 2 decimal places. lbs
What is the mean and median of the data represented in this Stem and Leaf Display? Round answers to 1 decimal. Stem Leaves 1 6667 2359 3 0011 mean = 23.1 and median = 25.0 mean = 24.5 and median = 25.0 mean = 24.0 and median = 24.0 %3D mean = 23.8 and median = 24.0
A.Find critical value B. Compute test value C. Make decision D. Summarize
1: How do you solve?
a.130 b.126 c.122 d.134
1. On any given day in Minnesota, there are an average of 205 car accidents. From a sample of 7 car accidents, the likelihood of survival (in percentage) and the speed of the car during the crash and is given below. Car Speed (mph) 40 61 58 95 67 84 Likelihood of Survival 89.5 50.5 39 38. 52 95 44 (percentage) a) Create a scatterplot of this data by hand. What initial relationship do you see? b) Find the correlation coefficient between these variables. Interpret this value. c.) Determine if the correlation between the speed of a car during an accident and the likelihood of survival is significant. Use a significance level of 0.025, and the p-value method. d) Find the linear regression equation where the likelihood of survival (Y) is the dependent response variable, and the spee& of the car (X) is the independent variable. Interpret the slope and the intercept. e) Predict the likelihood of survival if during accident, the car was traveling at 75 miles per hour. Eridou To 30
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Source. 13. 8. Heights of 9-Year-Olds At age 9 the average weight (21.3 kg) and the average height (124.5 cm) for both boys and girls are exactly the same. A random sample of 9-year-olds yielded these results. At a = 0.05, do the data support the given claim that there is a difference in heights? Вoys Girls 50 Sample Mean height, cm 60 123.5 126.2 Population variance 98 120 Source: www.healthepic.com

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