Paired Samples StatisticsStd. ErrorMeanStd. DeviationMeanErrors after 8 hours sleepdeprivationPair 16.75202.124.475Errors after 24 hours13.90202.024.452sleep deprivationPaired Samples CorrelationsSignificanceNCorrelationOne-Sided pTwo-Sided pPair 1Errors after 8 hours sleep20-.263.131.262deprivation & Errors after24 hours sleepdeprivationPaired Samples TestPaired DifferencesSignificance95% Confidence Interval of theDifferenceStd. ErrorMeanStd. DeviationMeanLowerUppertdfOne-Sided p Two-Sided pErrors after 8 hours sleepdeprivation - Errors after24 hours sleepdeprivationPair 1-7.1503.297.737-8.693-5.607-9.69819<.001<.001Paired Samples Effect Sizes95% Confidence IntervalPointStandardizerEstimateLowerUpperErrors after 8 hours sleepdeprivation - Errors after24 hours sleepPair 1Cohen's d3.297-2.169-2.972-1.348Hedges' correction3.364-2.125-2.913-1.321deprivationa. The denominator used in estimating the effect sizes.Cohen's d uses the sample standard deviation of the mean difference.Hedges' correction uses the sample standard deviation of the mean difference, plus a correction factor. From these results, what might you conclude?Based on these results, would you recommend people be depriveSleep deprivation decreased the number of errorsof sleep?O Sleep deprivation had no effect on the number of errorsYesSleep deprivation increased the number of errorsNoO None of the above

The hypothesis test is a statistical method in which one using the sample data try to check the…

Answered: Paired Samples Statistics Std. Error…

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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Question Help The data below shows the sugar content in grams of several brands of children's and adults' cereals. Create and interpret a 95% confidence interval for the difference in the mean sugar content, Hc -Ha. Be sure to check the necessary assumptions and conditions. (Note: Do not assume that the variances of the two data sets are equal.) Full data set D Children's cereal: 44.8, 55.3, 48.4, 41.5, 50.7, 49.1, 50.2, 42.5, 42.2, 44.7, 48, 44.4, 37.1, 59.1, 45.9, 54.9, 35.6, 56.3, 42.3, 32.3 Adults' cereal: 20.2, 25.2, 4, 8.4, 2.8, 21.2, 19.9, 13.5, 22.9, 6.9, 7.2, 12, 17.3, 10.9, 0.5, 17.1, 4.5, 4.5, 3.5, 9.6, 14.6, 0.8, 3.2, 4.8, 8.7, 0.4, 19.6, 5.6, 16.5, 11.1 The confidence interval is ( D- (Round to two decimal places as needed.) Interpret the confidence interval. Select the correct choice below and fill in the answer boxes to complete your choice. (Round to two decimal places as needed.) O A. Based on these samples, with 95% confidence, adult's cereals average between the…
Question Help v The data below shows the sugar content in grams of several brands of children's and adults' cereals. Create and interpret a 95% confidence interval for the difference in the mean sugar content, uC-HA. Be sure to check the necessary assumptions and conditions. (Note: Do not assume that the variances of the two data sets are equal.) Full data set Children's cereal: 43.3, 56.1, 49.6, 42.2, 54, 47.6, 54.1, 42.9, 42.2, 43, 48.7, 40.4, 37.5, 57.6, 49.4, 50.5, 38.3, 57.1, 40.6, 32 Adults' cereal: 21.5, 28.5, 0.1, 6.1, 4.2, 24.8, 15.4, 12.5, 20.9, 8.3, 7.5, 11.2, 15.9, 11.5, 0.1, 16.9, 0.7, 0.2, 1.5, 6.4, 13.8, The confidence interval is ). (Round to two decimal places as needed.) Enter your answer in the edit fields and then click Check Answer. 1 1 part remaining Clear All
Cost of Building a Home According to the National Association of Home Builders, the average cost of building a home in the Northeast is $117.91 per square foot. A random sample of 34 new homes indicated that the mean cost was $120.61and the standard deviation was $17. Can it be concluded that the mean cost differs from $117.91, using the 0.10level of significance? Use the P-value method. Use a graphing calculator. (b) Find the P-value. Round the answer to at least four decimal places. P-value=
A real estate agent believes that the mean home price in the northern part of a county is higher than the mean price in the southern part of the county and would like to test the claim. A simple random sample of housing prices is taken from each region. The results are shown below. Mean Variance Observations Southern Northern 155.056 168.889 345.938 560.928 18 Pooled Variance 453.433 Hypothesized Mean Difference df 34 1949 t Stat P(T<=t) one-tail p= Ex: 1.234 0.030 2.441 0.060 t Critical one-tail P(T<=t) two-tail t Critical two-tail 2.728 2. Confidence Level 99% t = Ex: 1.234 n= Ex: 9 Degrees of freedom: df = Point estimate for the southern part of the county: 1 Ex: 1.234 Point estimate for the northern part of the county: 2 0耳_ 国 23 72°F
-What does it mean if two samples are significantly different from each other? What does it mean if they are not significantly different? -Economists say women make less than men in the United States by a wide margin. Do we find the same thing? What about income differences between White and Black Americans in the U.S.? How does our data fit with our understanding of pay discrepancies? in reference to t tests use graph to answer questoins
What is the correlation between number of citations and instructor quality? (in APA format)
Exhibit 10-32 The following information was obtained from matched samples. (Hint: to calculate differences use After - Before.) Individual 1 2 3 4 5 1.776 to 3.776 0.1796 to 5.02021 -2.776 to 2.776 Before 0 to 3.776 2 4 7 6 3 After 4 10 Refer to Exhibit 10-32. The 95% confidence interval for the mean of the population of differences is 9 7 5
SLICE NAME Confidence Intervals and Hypothesis Testing TOPIC NAME Hypothesis test for the difference of population means: t test for populations with equal variances
Question: Does the age distribution of laying hens varies between different species? Find the variables used to answer the question above information to help you: variable used: depending on the choice of analysis, write down the variables linked to the question confidence interval for a mean: indicate the quantitative variable linked the the confidence interval hypothesis test on two means: indicate what the qualitative variable is used to create the groups and indicate the quantitative variable used during the test (group variable & measured variable) Chi-Square Test: indicate what are the two qualitative variables used to create the two factors during the test (categorical variable 1 & categorical variable 2) linear regression: indicate what is the independent quantitative variable (honrizontal axis) and indicate what is the dependent quantitative variable (vertical axis)
WALKING RUNNING Mean 7.181818182 7.3636364 Variance 4.563636364 6.4545455 Observations 11 11 Pooled Variance 5.509090909 Hypothesized Mean Difference 0 df 20 t Stat -0.181668105 P(T<=t) one-tail 0.428835886 t Critical one-tail 1.724718243 P(T<=t) two-tail 0.857671772 t Critical two-tail 2.085963447 If the t-Stat value is less than the t Critical two-tail value I can reject the null, right? I am still a little confused on what a few numbers represent.

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