For #22 - #27:The following are measurements of the heat-producing capacity (in millions of calories per ton) ofrandom samples of five specimens each of coal from two mines:8380 8210 8360 7840 79107540 7720 7750 8100 7690Mine 1:Mine 2:Below are the EXCEL outputs of the data at 95% confidence level:t-Test: Two-Sample Assuming Equal Varit-Test: Paired Two Sample for MeansMINE 2MINE 1MINE 1MINE 2Mean81407760Mean81407760VarianceObservationsPooled VarianceHypothesized Medf63450426506345042650VarianceObservationsPearson Correlation-0.69059Hypothesized Meardf5305048t Stat2.014279t Stat2.608621P(T<-t) one-tailt Critical one-tailP(T<-t) two-tailt Critical two-tailP(T<=t) one-tailt Critical one-tailP(T<-t) two-tailt Critical two-tail0.0155990.057122.1318470.114242.7764451.8595480.031197A.B.2.30600422. Which of the two excel output above is the correct result of the data.A. Choice AB. Choice BC. BothD. None

The given data is, Mine 1 Mine 2 8380 7540 8210 7720 8360 7750 7840 8100 7910 7690

For #22 - #27: The following are measurements of the heat-producing capacity (in millions of calories per ton) of random samples of five specimens each of coal from two mines: 8380 8210 8360 7840 7910 7540 7720 7750 8100 7690 Mine 1: Mine 2: Below are the EXCEL outputs of the data at 95% confidence level: t-Test: Two-Sample Assuming Equal Vari t-Test: Paired Two Sample for Means MINE 2 MINE 1 MINE 1 MINE 2 7760 Mean 8140 7760 8140 63450 Mean Variance Observations Pearson Correlation -0.69059 Hypothesized Mear df 63450 42650 Variance Observations Pooled Variance 42650 53050 Hypothesized Me df 4 8 t Stat 2.014279 t Stat 2.608621 P(T<-t) one-tail t Critical one-tail P(T<-t) two-tail t Critical two-tail P(T<=t) one-tail t Critical one-tail P(T<=t) two-tail B. t Critical two-tail 0.015599 1.859548 0.031197 2.306004 0.05712 2.131847 0.11424 A. 2.776445 22. Which of the two excel output above is the correct result of the data. B. Choice B A. Choice A C. Both D. None

For #22 - #27: The following are measurements of the heat-producing capacity (in millions of calories per ton) of random samples of five specimens each of coal from two mines: 8380 8210 8360 7840 7910 7540 7720 7750 8100 7690 Mine 1: Mine 2: Below are the EXCEL outputs of the data at 95% confidence level: t-Test: Two-Sample Assuming Equal Vari t-Test: Paired Two Sample for Means MINE 2 MINE 1 MINE 1 MINE 2 7760 Mean 8140 7760 8140 63450 Mean Variance Observations Pearson Correlation -0.69059 Hypothesized Mear df 63450 42650 Variance Observations Pooled Variance 42650 53050 Hypothesized Me df 4 8 t Stat 2.014279 t Stat 2.608621 P(T<-t) one-tail t Critical one-tail P(T<-t) two-tail t Critical two-tail P(T<=t) one-tail t Critical one-tail P(T<=t) two-tail B. t Critical two-tail 0.015599 1.859548 0.031197 2.306004 0.05712 2.131847 0.11424 A. 2.776445 22. Which of the two excel output above is the correct result of the data. B. Choice B A. Choice A C. Both D. None

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

A series of sodium chloride samples are analyzed and the following results were recorded: Sample # 1 2 3 4 % chloride 23.02 23.41 23.15 23.12 Calculate: The deviation of each result
A physical therapist wanted to know whether the mean step pulse of men was less than the mean step pulse of women. She randomly selected 54 men and 70 women to participate in the study. Each subject was required to step up and down a 6-inch platform. The pulse of each subject was then recorded. The following results were obtained. Two sample T for Men vs Women N Mean StDev SE Mean Men Women 98% CI for mu Men - mu Women (- 12.20, - 1.00) T-Test mu Men = mu Women (vs H2 O C. Ho: H1 = H2; Ha: H1 #H2 (b) Identify the P-value and state the researcher's conclusion if the level of significance was a = 0.01. What is the P-value? P-value =
Choose the letter that corresponds to your answer. Choose letter E if the answer is not among the choices.
The researchers used a 3-item 7-point scale to measure consumers' attitudes toward the company. The researchers most likely used the .as the indicator of the scale's quality/reliability. none of the above/below O coefficient alpha coefficient beta coefficient p
Managers of an outdoor coffee stand in Coast City are examining the relationship between (hot) coffee sales and daily temperature, hoping to be able to predict a day's total coffee sales from the maximum temperature that day. The bivariate data values for the coffee sales (denoted by y , in dollars) and the maximum temperature (denoted by x , in degrees Fahrenheit) for each of fifteen randomly selected days during the past year are given below. These data are plotted in the scatter plot in Figure 1. Temperature, x(in degrees Fahrenheit) Coffee sales, y(in dollars) 53.1 2215.5 76.6 1982.7 70.1 1937.3 39.7 2251.1 72.5 1603.9 48.4 2024.2 46.7 2135.3 83.9 1536.5 58.4 1965.6 38.5 1944.3 68.2 1746.1 75.4 1472.1 65.6 1819.5 53.9 1627.4 45.1 1782.3 Send data to calculator Send data to Excel Coffee sales(in dollars) y 1200 1400 1600 1800 2000 2200 2400 x 40 50 60 70 80 90…
A company manufactures an electrical cooling fan. When the fans are performing properly, samples of 200 fans average 12.5 watts with an average range of 1.2 watts. A 3σ control chart program is being used to monitor the performance of the fans, and these data from the 10 most recent samples were collected: Sample Number Sample Mean Sample Range 1 12.5 1.1 2 12.45 1.2 3 12.55 0.9 4 12.50 0.8 5 12.45 0.9 6 12.60 1.0 7 12.48 1.4 8 12.46 1.1 9 12.56 0.9 10 12.48 0.8 Compute the 3σ control limits and center line for an ⁻x chart. Compute the 3σ control limits and center line for an R chart. Plot the sample data on the ⁻x and R charts and decide if the performance of the fan is in control.
Managers of an outdoor coffee stand in Coast City are examining the relationship between (hot) coffee sales and daily temperature, hoping to be able to predict a day's total coffee sales from the maximum temperature that day. The bivariate data values for the coffee sales (denoted by y, in dollars) and the maximum temperature (denoted by x, in degrees Fahrenheit) for each of fifteen randomly selected days during the past year are given below. These data are plotted in the scatter plot in Figure 1. Also given is the product of the temperature and the coffee sales for each of the fifteen days. (These products, written in the column labelled "xy", may aid in calculations.) Temperature, X 10 Coffee sales, y (in dollars) (in degrees Fahrenheit) 37.2 51.3 59.7 53.7 63.1 44.5 47.5 75.9 82.2 40.0 74.8 70.6 69.0 48.3 74.7 Send data to calculator V 2000.4 2205.9 1944.8 1579.3 1846.3 1797.3 2016.5 1563.3 1556.5 2249.4 1653.9 1923.0 1747.9 2154.6 1979.7 74,414.88 113,162.67 116,104.56 84,808.41…
Managers of an outdoor coffee stand in Coast City are examining the relationship between (hot) coffee sales and daily temperature, hoping to be able to predict a day's total coffee sales from the maximum temperature that day. The bivariate data values for the coffee sales (denoted by y, in dollars) and the maximum temperature (denoted by x, in degrees Fahrenheit) for each of sixteen randomly selected days during the past year are given below. These data are plotted in the scatter plot in Figure 1. Temperature, x (in degrees Fahrenheit) Coffee sales, y (in dollars) 71.5 1970.9 58.7 1953.9 53.7 1791.1 2400+ 83.0 1570.3 2200+ 62.8 1852.7 74.6 1633.6 2000- ** 40.4 1973.9 1800- 51.5 2250.9 44.6 1808.5 1600- 45.5 1977.3 1400- 45.6 2190.5 1200 69.4 1789.1 55.0 1598.2 50 70 80 90 40.6 2272.0 74.0 1937.0 Figure 1 76.6 1547.1 Send data to Excel Continue Submit Assignment O 2021 McGraw-Hill Education. All Rights Reserved. Terms of Use Privacy Accessibility here to search 99+ 5 4.
Devise a hypotheses for the research question: Is there singificant correlation between students height and typical amount of sleep a student gets per night? Identify the appropriate statistical test using alpha = 0.05. Perform the statistical test. Use descriptive statistics to describe the variables both numerically and graphically. Height (whole inches) Sleep (minutes) 60 360 62 400 66 420 68 440 68 540 70 480 72 320 75 440 66 360 63 420 69 420 75 390 69 360 67 480 69 360 73 360 69 480 70 420 68 360 63 480 69 270 68 360 71 420 71 360 62 420
Data for fuel economy ratings in mi/gal for different cars are listed below. Each pair of data represents the rating using the Old test and the New test. Old (x) 31 22 23 33 27 21 22 19 31 16 New (y) 25 17 26 26 23 18 19 16 28 19 Find the best predicted value for the New test method given that the Old test method rating was 26. Use a significance level of 0.05.Round your answer to 1 decimal place, if needed.
Need help
If other factors are held constant which of the following sets of data is most likely to produce a significant value for the repeated measures t statistics? n=15 and MD= 4 n=30 and MD =2 n=15 and MD= 2 n=30 and MD=4