LIGHT AT NIGHT MAKES FAT MICEStudies have shown that exposure to light at night is harmful to human health. A study in mice shows that light at night has an effect onweight gain after just three weeks. In the study, mice were randomly assigned to live in one of three light conditions: LD had a standardlight/dark cycle, LL had bright light all the time, and DM had dim light when there normally would have been darkness.Body Mass GainThe mice in the study had body mass measured throughout the study. Computer output showing an analysis of variance table to testfor a difference in mean body mass gain (in grams) after four weeks between mice in the three different light conditions is shownbelow. The conditions for ANOVA are met. The null hypothesis is that the amount of light at night does not affect how much weight isgained. The alternative hypothesis is that the amount of light at night has some effect on mean weight gain.Level NMeanStDevPart 1(a) What is the F-statistic?The F-statistic is iWhat is the p-value?The p-value is iDMLDLL10SourceLightErrorTotal87.8595.9269 11.0103.00924 161.84 6.7426 274.921.899One-way ANOVA: BM Gain versus LightDF SSMS FP2 113.08 56.54 8.38 0.0022.624

From the given output. The F-Statistic is =8.38 The p value is =0.002

Answered: GHT AT NIGHT MAKES FAT MICE Studies…

Linear Algebra: A Modern Introduction

4th Edition

ISBN:9781285463247

Author:David Poole

Publisher:David Poole

Chapter7: Distance And Approximation

Section7.3: Least Squares Approximation

Problem 31EQ

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LIGHT AT NIGHT MAKES FAT MICEStudies have shown that exposure to light at night is harmful to human health. A study in mice shows that light at night has an effect on weight gain after just three weeks. In the study, mice were randomly assigned to live in one of three light conditions: LD had a standard light/dark cycle, LL had bright light all the time, and DM had dim light when there normally would have been darkness.Activity LevelsPerhaps the mice with light at night gain more weight because they are exercising less. The conditions for an ANOVA test are met and computer output is shown for testing the average activity level for each of the three light conditions. The null hypothesis is that mean activity level is not related to light condition, while the alternative hypothesis is that the mean activity level is related to light condition. Is there a significant difference in mean activity level? Level N Mean StDev DM 10 2503 1999 LD 8 2433 2266 LL 9 2862 2418 One-way…
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Recent research has demonstrated that music-based physical training for elderly people can improve balance, walking efficiency, and reduce the risk of falls (Trombetti et al., 2011). As part of the training, participants walked in time to music and responded to changes in the music's rhythm during a 1-hour per week exercise program. After 6 months, participants in the training group increased their walking speed and their stride length compared to individuals in the control group. The following data are similar to the results obtained in the study. Do the results indicate a significant difference in the stride length for the two groups? Use a two-tailed test with α = 0.05. (do with spss and give an explanation) thank you
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Recent research has demonstrated that music-based physical training for elderly people can improve balance, walking efficiency, and reduce the risk of falls (Trombetti et al., 2011). As part of the training participants walked in time to music and responded to changes in the music's rhythm during a 1-hour per week exercise program. After 6 months, participants in the training group increased their walking speed and their stride length compared to individuals in the control group. The following data are similar to the results obtained in the study. Exercise Group Stride Length Control Group Stride Length 24 26 25 23 22 20 24 23 26 20 17 16 21 21 22 17 22 18 19 23 24 16 23 20 23 25 28 19 25 17 23 16 Do the results indicate a significant difference in the stride length for the two groups? Use a two-tailed test with ?=.05 (By hand and with SPSS)
An important issue is whether there are racial differences in hypertension among children. We define hypertension as being above the 95th percentile for either systolic blood pressure (SBP) or diastolic blood pressure (DBP) among children of the same age, height, and sex. Since some of the children were observed at multiple visits, a GEE model was run of hypertension on ethnic group. There were three ethnic groups considered: Caucasian, African American, and Hispanic. One issue is that BMI, which may vary among ethnic groups, is positively related to hypertension. Hence, a logistic regression model was run, as shown in Table 13.55. 13.89 What is the estimated OR for hypertension comparing Hispanic boys vs. Caucasian boys based on the results in Table 13.55? (Call this OR2 .) Provide a 95% CI for this estimate. 13.90 Suppose the average BMI of Hispanic boys is higher than that for Caucasian boys. Is BMI a confounder of the association between ethnic group and hypertension? If so, is it…
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