OV w [QMail - Rachel Rubio... D2L BrightspaceABсmylearning.suny.edu/d2l/le/content/460881/viewContent/15362845/ViewD2414619hiCloud Mail15.815.8The p-value is...15.815.8Home - sunysuffolk...What are the degrees of freedom for this test?d.f.=CEFE1615.8Report all answers accurate to three decimal places. But retain unrounded numbers for futurecalculations.O less than (or equal to) aYouTube [as] Adult SwimWhat is the chi-square test-statistic for this data? (Report answer accurate to three decimal places,and remember to use the unrounded Pearson residuals in your calculations.)What is the p-value for this sample? (Report answer accurate to four decimal places.)p-value =EXiCloud Im HBO Maxhs 49 +M GmailN Netflix

In the chi-square test, the Pearson residuals are used to check the independence between the…

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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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Make a chi square and evaluate the data statistically. Also breifly explain the results.
there enough evidence to show that there is a difference in mean commute times for male and female working residents of this town? (Use ?males − ?females. Round your test statistic to one decimal place, your df down to the nearest whole number, and your P-value to three decimal places.) Males Females Samplesize x s Samplesize x s 237 30.6 24.0 273 28.3 24.3 t = df = P-value =
Data was collected on the average number of yards of a golfer’s length of drive and game score. Excel returned the following analysis. Regression Statistics Multiple R 0.856 R Square 0.733 Adjusted R Square 0.643 Standard Error 1.657 Observations 5 Coefficients Std Error Intercept 93.399 7.918 X Variable 1 -0.089 0.031 How many data pairs formed the sample State the value of the coefficient of determination State the value of the correlation coefficient Write the regression equation in the form What percent of variation in score is NOT explained by the golfer's drive length in the regression equation
Heights for group of people normally distributed with mean = 63 inches and standard deviation 2.9 inches. ЛUSE SALT Find the height, h such that about 20% of people in the group are shorter than that height. (Round the answer to the nearest tenth.) h = ✓ in. What is the percentile, p ranking for that height? p = × %
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Part of an R output relating X (independent variable) and Y (dependent variable) is shown below. This analysis is based on 11 observations. Using what you know about how all of these values are related, fill in the remaining blanks. Round your answers to 4 decimals in Model Summary box. Round your answers to 2 decimals in the ANOVA table and beyond. Model Summary (4 decimal places each) R R-Squared Adj. R-Squared Pred. R-Squared Source Regression Residual Total ANOVA (2 decimal places each, where necessary) Sum of Squares X Model (Intercept) 0.3632 0.515 1000 RMSE Parameter Estimates (2 decimal places each) Beta Coef. Var. df 29.48 5.7871 Std. Error Std. Beta 0.699 Mean Square -0.72 t F Sig. 3.79 0.0043 -3.091 0.0129 Sig 0.0129
26% 1:38 PM 4. Test the claim that the proportio... bartleby.com partle / Statistic est the 4. Test the claim that the proportion of college students taking Math 13 is the same as it was 10 years ago. Today: n x-40, n-100 10 years ago: x-50, n3125. Let @=.05 estiol •..
A knewton.com Question The following data was calculated during a study on customer experience. Use the following information to find the test statistic and p-value at a 10% level of significance: • The claim is that the percent of companies that view customer experience as the most vital component of a growing business is different than 50%. Sample size = 50 companies • Sample proportion = 0.40 Use the table or the curve below to find the test statistic and p-value. For the curve select the appropriate test by dragging the blue point to a right-, left- or two-tailed diagram, then set the sliders. Use the purple slider to set the significance level. Use the black sliders to set the information from the study described above. z 0.00 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 |-1.5 0.067 0.0660.064 0.063 0.062 0.061 0.059 o.058 0.057 0.056 -1.40.081 0.0790.078 0.076 0.075 0.074 0.072 0.071 0.069 0.068 |-1.3 0.097 0.095 0.093 0.092 0.090 0.089 0.087 0.085 0.084 0.082 -1.2 0.115…
Question 5 You want to obtain a sample to estimate a population mean. Based on previous evidence, you believe the population standard deviation is approximately o = 68.1. You would like to be 99% confident that your estimate is within 4 of the true population mean. How large of a sample size is required? Round up to nearest whole number. n = Question Help: Video Written Example Message instructor Submit Question
Consider the following data set. (Round your answers to four decimal places.) n = 10 measurements: 6, 3, 4, 7, 3, 3, 5, 7, 2, 5 USE SALT Use the range to approximate the value of s. (Use R = 3s.) Calculate the actual value of s. Is the actual value close to the estimate? O The actual value is very close to the estimate, since the difference is within 0.2. The actual value is close to the estimate, since the difference is between 0.2 and 0.5. The actual value is not markedly different from the estimate, since the difference is between 0.5 and 1. The actual value is not close to the estimate, since the difference is more than 1.
Using the given data, find the following. 28 3 15 14 11 22 Identify the five-number summary. Round your answers to one decimal place as needed. Lo=, Q1=, MD=, Q3=, High= Find the interquartile range. Round your answer to one decimal place as needed. IQR=

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