Question 6An elementary school teacher is interested in knowing if there is a significant difference in the average reading speed of fifth-grade boys and girls.She randomly selects 36 fifth grades boys and 36 fifth grade girls for the study. Each student is given several pages of the same book to read andthe time it takes them to complete the reading is recorded in minutes.BoysGirls253636Sample SizeSample Mean reading speed (inminutes)Population Variance11123The standard error for the difference between the two means isa0.3727Ob.0.2067Oc0.2647Od.4.24Ouestionniof 19

We have given that, n1 = 36 , n2 = 36 and σ²1= 3, σ²2 = 2 x̄1 = 11 x̄2 = 12 Then, We will find…

Answered: Question 6 An elementary school teacher…

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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An elementary school teacher is interested in knowing if there is a significant difference in the average reading speed of fifth-grade boys and girls. She randomly selects 36 fifth grades boys and 36 fifth grade girls for the study. Each student is given several pages of the same book to read and the time it takes them to complete the reading is recorded in minutes. Boys Girls Sample Size 36 36 Sample Mean reading speed (in minutes) 11 12 Population Variance 3 2 The p-value is a. 0.156 b. 0.0037 c. 0.336 d. 0.238
Answer question 5 Answer question 3d and 3e
ork Question Part 1 of 5 Cans of soda vary slightly in weight. Given below are the measured weights of seven cans, in pounds. Find the mean and median of these weights. Which, if any, of these weights would be considered an outlier? What are the mean and median weights if the outlier is excluded? 0.8161 0.8194 0.8165 0.8174 0.7903 0.8141 0.8127 Find the mean and median of the weights. The mean is (Round to five decimal places as needed.) P
What are the values for SS and variance for the following sample of n = 3 scores? Sample: 8, 5, 2
Degrees of Sum of Source Freedom Squares Square (Variance) Among c-1=? SSA=? MSA = 69 Consider an experiment with three groups, with nine values in each. For the ANOVA summary table shown to the right, fill in all Within the missing results. groups groups Total n-c=? SSW = 552 n-1=? SST = ? Complete the ANOVA summary table below. Degrees of Sum of Source Freedom Squares Among groups c-1= SSA= Within groups n-ca Total n-1= (Simplify your answers.) SSW = 552 SST Mean Square (Variance) MSA = 69 MSW= Mean MSW = ? F FSTAT F FSTAT = ? ***
_________ are used to display actual data points for individual-level data. Would this answer be Univariate Statistics?
QUESTION 2 A study is being carried out to see any differences in life satisfaction between young, middle- aged, and older men and women. A life satisfaction questionnaire is given to each participant in the research. A high degree of life satisfaction is indicated by a high score on the questionnaire. The results are listed in the table below. Adult Categories Gender Young Middle Older Men 7 10 Women 11 10 The MINITAB output for the above data is as follows. Analysis of Variance Source gender adult categories DF MS 6.000 8.667 C 0.225 4.334 0.187 6.000 A 4.000 27.333 Error B Total 5 Assume all the assumptions of ANOVA are met, answer the following questions. c) Using the given data, show that SST is 27.333
Question 2 According to Nielsen Media Research, children (Group 1-ages 2-11) spend an average of 21.5 hours watching television per week while teens (Group 2-ages 12-17) spend an average of 20.67 hours. Based on the sample statistics obtained below, is there sufficient evidence to conclude a difference in average television watching times between the two groups? Assume that the population variances are not equal. Use α = 0.01. Sample mean Sample variance Sample size Children 22.45 16.4 15 Teens 18.50 18.2 15 Required: Test Value=2.6 Round-off your answer to two decimal places.
Consider the following data: Step 1 of 3: Calculate the value of the sample variance. Round your answer to one decimal place. Answer How to enter your answer (opens in new window) stical Tables nomial Probabilities nomial Cumulative Poisson Probabilities Poisson Cumulative andard Normal Table t Table - Chi Square F Table - Pearson Correlation Coefficient Nonparametrics - Misc. q Table -2, -2, -8,-8, -2, -8, 12 N ww 3.1 3.0 2.9 2.8 2.7 2.6 2.5 Copy Data Tables Keypad Keyboard Shortcuts 0.07 0.08 0.09 3.3 3.2 Standard Normal Probabilities (z to ∞) 0.00 0.01 0.02 0.03 0.04 0.05 0.06 3.4 0.0003 0.0003 0.0003 0.0003 0.0003 0.0003 0.0003 0.0003 0.0003 0.000 0.0005 0.0005 0.0005 0.0004 0.0004 0.0004 0.0004 0.0004 0.0004 0.000 0.0007 0.0007 0.0006 0.0006 0.0006 0.0006 0.0006 0.0005 0.0005 0.000 0.0010 0.0009 0.0009 0.0009 0.0008 0.0008 0.0008 0.0008 0.0007 0.000 0.0013 0.0013 0.0013 0.0012 0.0012 0.0011 0.0011 0.0011 0.0010 0.001 0.0019 0.0018 0.0018 0.0017 0.0016 0.0016 0.0015 0.0015 0.0014…
Question 3 A researcher wants to statistically test whether gender and political affiliation affect IQ scores. Which test should the researcher use? three-way ANOVA within-groups ANOVA one-way ANOVA two-way ANOVA
Question 4a A research organization wishes to determine whether the driving range of different electric cars on a full charge are equal. The number of mileage for each car is given below. Lucid Air Tesla Model S Ford Mustang Mach-E Mean mileage 387 305 520 20 30 Sample variance Sample Size 24 4 4 Use the above data and test to see if the mean mileage for all three brands of electric cars is the same. Let a = .05. Complete the ANOVA table and show the details of calculation to get full credits. a) State the null and alternative hypotheses to be tested.
Question 5 The average amount of time boys and girls of ages 7 through 11 spend playing sports each day is believed to be the same. An experiment is done and data is collected, resulting in the table below. Assume that the populations follow a normal distribution with equal variances. Is there a difference in the mean amount of time boys and girls spend playing sports each day? Test at 5% level of significance. Girl Boys Sample size Average number of hours playing Sample standard deviation sports per day 2 hours 0.75 3.2 hours 9 16

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