Use the Sprint data, given again below, to test whether or not women talk for at least 10 more minutes on average permonth than men do at the 5% significance level. Assume unequal variances. Report the p-value of the test. Round youranswer to three decimal places.MenType your answer here314324288561295299319367207333Women492803476370525317625373263367

Given the data as Men Women 314 492 324 803 288 476 561 370 295 525 299 317 319 625…

Answered: Use the Sprint data, given again below,…

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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A social researcher wishes to know if there is a relationship between gender and perspective on the death penalty. Data has been collected on 228 persons and the results are displayed in the table below. Is there evidence of a relationship between gender and perspective on the death penalty? Gender Favor Oppose Total Male 70 42 112 Female 68 48 116 Total 138 90 228 Copy Data Step 4 of 8 : Find the value of the test statistic. Round your answer to three decimal places.
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Researchers wondered whether the size of a person's brain was related to the individual's mental capacity. They selected a sample of 5 females and 5 males and measured their MRI image pixel counts and IQ scores. Females Males MRI IQ MRI IG The data is reported to the right. Complete parts (a) through (d) below 139 858,472 140 955,003 935,494 924,059 1.079.550 1,001.121 Click the icon to view the critical values table. 991,305 138 141 857,782 833,868 790,619 133 135 132 141 135 140 AMRI 1,080,000- AIO 145 AIO 145- AMRI 1,080,000 780,000 130 130 780,000 130 780,000 780,000 130 1,080,000 145 1,080,000 MRI 145 MRI (b) Compute the linear correlation coefficient between MRI count and IQ. Are MRI count and IQ linearly related? Select the correct choice below and, if necessary, fill in the answer box to complete your choice. (Round to three decimal places as needed.) A. Yes, MRI count and IQ are linearly related since the linear correlation coefficient is O B. No. MRI count and IQ are not…
A study was conducted to examine the impact of speaking in public on college students. A class of 15 statistics students participated in the study. At the beginning of a lecture the students recorded their systolic blood pressure. During the lecture the instructor called on each student to stand and answer questions about topics in the lecture. After speaking the students once again recorded their blood pressure. The resulting values are given below along with summary statistics. before 100 123 128 125 136 108 130 113 105 136 146 138 108 149 132 after 141 142 146 136 144 111 132 114 103 133 140 130 100 133 113 difference -41 -19 -18 -11 -8 -3 -2 -1 2 3 6 8 8 16 19 before after difference mean 125.1 127.9 -2.733 st dev 15.26 15.45 15.23 Does this information indicate that blood pressure increased because of speaking? Conduct an appropriate hypothesis test and show appropriate steps. Let μ1 mean systolic blood pressure before speaking in public, and μ2 mean…
The authors of a paper were interested in how the distance a deer mouse will travel for food is related to the distance from the food to the nearest pile of debris. Distances were measured in meters. The data and computer output are given below. Distance from Debris Distance Traveled 6.94 0.00 5.23 6.13 5.21 11.29 7.10 14.35 8.16 12.03 5.50 22.72 9.19 20.11 9.05 26.16 9.36 30.65 Simple Linear Regression Results: Dependent Variable: Traveled Independent Variable: Debris Sample size: 9 R (correlation coefficient) = 0.5657 R-sq = 0.32002088 Estimate of error standard deviation 8.670711 Parameter estimates: Parameter Estimate Std. Err. Alternative DF T-Stat P-Value Intercept -7.6854587 13.332196 ≠ 0 7 -0.5764586 0.5824 Slope 3.2340908 1.7818117 ≠ 0 7 1.8150575 0.1124 a)What is the least squares regression line for the output given above? b) what is the predicted traveled distance given the distance from debris is 6.5 meters?
C2. Using the information listed below, explore the educational attainment of GSS 2018 respondents. Frequencies and percentages are reported by sex of respondent. a. Calculate the IQR for both groups. What do the IQRS reveal about the degree of diversity for males and females? b. What is the limitation to applying IQR to ordinal data? Highest Educational Degree Males Females Less than high school 63 80 12.9% 12.7% High school graduate 256 296 52.5% 47.1% Junior college 30 72 6.1% 11.4% Bachelor's degree 90 111 18.4% 17.6% Graduate degree 49 70 10% 11.1% 488 629 Total 100% 100% CHAPTER 4 MEASURES C
The arm span and foot length were measured (in centimeters) for each of the 19 students in a statistics class and displayed in the scatterplot. An analysis was completed and the computer output is shown. Using the computer output, what is the predicted foot length for a student with an arm span of 160 cm? 5.79 cm 22.15 cm 29.76 cm Arm Span vs. Foot Length 29.80 cm 29 27 19 155 160 165 170 175 180 185 190 195 Foot Length (cm) 21
In a survey of1153 senior citizens in Virginia, 50% said that they wash their hands after attending a sporting event. a. Identify the sample and the population. b. Is the value of 50% a statistic or a parameter?

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Use the Sprint data, given again below, to test whet month than men do at the 5% significance level. As answer to three decimal places. Men