4. Let µj denote the mean of population 1 and u2 denote the mean of population 2. Which is the correct statementbelow concerning the null hypothesis Ho : µ1 – Hz = 5.The mean of population 1 is 4 units less than the mean of population 2.O The mean of population 1 is 5 units greater than the mean of population 2.The mean of population 1 is 5 units less than the mean of population 2.O The mean of population 1 is the same as the mean of population 2.

Answered: Image /qna-images/answer/e956a3ef-1c5f-4f60-9594-21aee4a1179e.jpg

Answered: 4. Let uj denote the mean of population…

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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The percentage score of the male and female students is normally distributed with unknown means and with a known s.d of 1.2, 1.3 respectively. A random sample of size 30 is drawn with a mean value of 67.8, and 70.4. Construct a 95% C.I for the difference between means of the percentage scores. Q4.
1.3 answer in 2 decimal places No need solutions
17. please state all 6 steps of the p method clearly please! Strength of concrete: The compressive strength, in kilopascals, was measured for concrete blocks from five different batches of concrete, both three and six days after pouring. The data are as follows. Can you conclude that the mean strength after three days differs from the mean strength after six days? Let μ1 represent the mean strength after three days and =μd−μ1μ2 . Use the =α0.05 level and the P -value method with the TI-84 Plus calculator. Block 1 2 3 4 5 After 3 days 1371 1379 1344 1383 1386 After 6 days 1328 1337 1344 1321 1345
1.3.2 Consider the output given below that was obtained using the One Proportion applet. Use information from the output to find the standardized statistic for a sample propor- tion value of 0.45. Probability of success (n): 0.30 Sample size (n): 25 Number of samples: 1000 O Animate Draw Samples Total = 1000 180 Mean = 0.301 SD = 0.091 120 60 0.08 0.16 0.24 0.32 0.40 0.48 0.56 0.64 Proportion of success
Heart rates are determined before and 30 minutes after a Kettleball workout. It can be assumed that heart rates (bpm) are normally distributed. Use the data provided below to test to determine if average heart rates prior to the workout are significantly lower than 30 minutes after a Kettleball workout at the 0.02 level of significance. Let μ₁ = mean before workout. Select the correct Hypotheses: Ho:με 2 με Η: μι = με Η: μη μ₂ O O O Conclusion: before 69 69 65 62 63 61 after 73 75 72 70 68 59 O Fail to Reject Ho ● Reject Ho Test Statistic = p-value = Ho:μd = 0 H₁: Hd ‡0 O [three decimal accuracy] [three decimal accuracy] Ho:μα 20 Ha:Pa 0 O Interpret the conclusion in context: ● There is enough evidence to suggest the mean bpm before a Kettleball workout is lower than 30 minutes after the workout. O There is not enough evidence to suggest the mean bpm before a Kettleball workout is lower than 30 minutes after the workout.
Need help with parts 2 and 3
AutoSave Off Ch13 60v13_10e (1) - File Home Insert Draw Page Layout Formulas Data Review View à From Text/CSV là Recent Sources T Queries & Connections là From Web LA Existing Connections Properties Get Refresh Data A From Table/Range All - A Edit Links Get & Transform Data Queries & Connections v X v fx H19 C D F ANOVA table 2 Source SS df MS 3 Regression 4 Residual 5 Total 1870.5782 1 1870.5782 41.39 1265.4934 28 45.1962 3136.0716 29 6. 7 8 Regression output 9 Variables 10 Intercept Coefficients Std. Error t(df=28) 13.76015 3.106 2.914 11 Distance-X 3.77085 7.977 6.427 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26
Let XXN(u. 16). How much should the sample size he for testing HeiH = 24 rs. He = 25 ata = 0.025 and ß = 0.409 (a) 77 (b) 48 (c) 35 (d) 28 (e) None
Number...2
Fisher's exact p-value 3.0 puntos posibles (calificables, resultados ocultos) In the table of data below, the column labeled Y is the observed outcome and W is the indicator of treatment, i.e. W = 1 indicates that Y in the same row is the observed outcome from a treatment unit, and W = 0 indicates that Y in the same row is the observed outcome from a control unit. Y W 0.5 1 0.2 0 0.4 0 0.7 1 Compute the test statistic T for the Fisher Exact Test. T = Conduct the two-sided Fisher Exact Test on the data above and report the p-value. Fisher's p-value:
Pls solve it quickly..
10.2.4 Need help with B and C please

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