StatisticsVariableN*MeanSE MeanStDevMinimumQ1 MedianQ3Maximumlength404.1500.3001.8991.5002.504.0005.508.500Statistics““ 三Variable speciesN N*MeanSE MeanStDev MinimumQ1MedianQ3 Maximumlengthsunfish233.5650.3591.7211.5002.5003.0005.5007.000bass114.5450.5621.8641.5003.5004.5006.0008.000carp5.6670.7601.8623.5004.2505.2507.3758.500 8. Compare the mean to the median on the descriptive statistics. Which is larger?Are these parameters or statistics?

Summary statistics of a data length of species sunfish, bass and carp is given.

Answered: Statistics Variable N N* Mean SE Mean…

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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Following are the marks obtained in a test by three sections of a marketing class. Is there a difference in the mean marks obtained by the three sections of the class conduct and ANAOVA analysis to test the hypothesis at a = 0.01 section 1: 7,12,9,11,8, 9 section 2: 11,17,16 section 3: 8,6,10,9 please find ANOVA TABLE POPULATION (one, two or multiple) null H0 null HA graph (right, left or two tailed) distribution ( Z, t, x^2, F) left and right critical value Calculated value and whether it is (Z-calculated, t-calculated, x^2 calculated or F- calculated) conclusion
zy Section 7.2- MAT 240: Applied S X O https://learn.zybooks.com/zybook/MAT-240-J4373-OL-TRAD-UG.22EWA/chapter/7/section/2?content_resource id=5.. A Q ary > MAT 240: Applied Statistics home > 7.2: Confidence intervals for population proportions E zyBooks catalog Help/FAQ 387674.1891676. may? Start Understanding student demographics is important for a college in deciding what programs will most benefit students. A sample of students is taken to determine what proportion of students identify as Hispanic or Latino. The results of the sample are shown below. Student sample HIspanic/Latino (x) Sample size (n) 68 400 Confidence Level 95% Critical Value 1.96 Margin of Error 0.037 What is the population parameter? Pick What is the point estimate for the population proportion? p = Ex: 0.99 The data suggests a Pick v confidence exists that the proportion of students who identify as Hispanic or Latino is between Ex: 0.123 Check Try again Feedback? -arch 72°F A a O 57 PrtSc Insert Delete F6 F8 F9…
The increased likelihood of producing a normal curve in sample data as the size of the sample increases is called: Central Limit Theory Central Park Axiom Central Litmus Tests Central Axiom Principle
Analysis of Variance F-Value P-Value Source DF SS MS Group 3 27.04 9.012 2.77 0.042 Error 256 831.52 3.248 Total 259 858.55 Group N Mean StDev HS+HE 72 0.319 1.852 HS+LE 64 0.328 1.861 LS+HE 66 0.379 1.838 LS+LE 58 –-0.431 1.623 exercise 8.16, 1. A: Test each pairwise difference between the means. 2. B: Write up: What effects or combinations of effects are important, and what it means in terms of the problem
A sample of 3 measurements are taken and recorded: a =8, y = 10 and z = 7 The sample mean is: x = = 8.33 Fill in the table below. aj (a; - x)2 Ex: 5.34 Ex: 5.34 Ex: 5.34 82 = (z-z)*+(y-a)* +(z-z) Ex: 5.34 (z-2)*+(y-z)* +(z-) = Ex: 5.34
What is the interquartile range of these ages?
DO MALES AND FEMALES DIFFER ON ATTITUDES TOWARD CRIME ? MALES N=12 FEMALES N=13 CRIME ATTITUDE MALES 77, 97, 28, 55, 75, 43, 21, 70, 91, 22, 58, 45 FEMALES 32,31, 89, 21, 79, 67, 41, 24, 43, 87, 64, 28, 21 MEAN SD MALE FEMALE • DV= 1 •T-VALUE • df • SIGNIFICANT (Y/N). • TEST STATISTIC RAN • ACCEPT OR REJECT NULL HYPOTHESIS. • CONCLUSION:
Suppose that a category of world class runners are known to run a marathon (26 miles) in an average of 146 minutes with a standard deviation of 16 minutesConsider 49 of the races Find the probabillity that the average of the sample will be between 144 and 146 min in the 49 marathons B find the 80th percentile for the average of these 49 marathons C find the median
SAMPLE 1 MEAN 5.61 MEDIAN 5.6 MODE 5.6 STANDARD ERROR 0.39992384 STANDARD DEVIATION 2.1904731 SAMPLE VARIANCE 4.79817241 KUTOSIS -0.07445435 SKEWNESS -0.69709258 RANGE 7.9 MINIMUM 1.1 MAXIMUM 9 SAMPLE COUNT 30 SUM 168.3 SAMPLE 2 MEAN 7.326666667 MEDIAN 7.3 MODE 8.7 STANDARD ERROR 0.248717785 STANDARD DEVIATION 1.362283411 SAMPLE VARIANCE 1.855816092 KUTOSIS -0.118922156 SKEWNESS -0.015286932 RANGE 5.6 MINIMUM 4.6 MAXIMUM 10.2 SAMPLE COUNT 30 SUM 219.8 AND THIS IS MY t-TEST-ASSUMING EQUAL VARIANCE Variable 1 Variable 2 Mean 5.61 7.326666667 Variance 4.798172414 1.855816092 Observations 30 30 Pooled Variance 3.326994253 Hypothesized Mean Difference 0 df 58 t Stat -3.645067529 P(T<=t) one-tail 0.000286392 t Critical one-tail 1.671552762 P(T<=t) two-tail 0.000572783 t Critical two-tail 2.001717484 IS IT RIGHT THAT MY T-STAT CAME OUT AS A NEGATIVE, AND ARE MY CALCULATIONS…
nvestigate 12 temperature measurements are made in a laboratory over a period of time and the following values are obtained: 46,45,45,47,48,49,50,52,51,51,14,36 Use Chauvenet's criterion to identify any outliers in the data which should be rejected. Don't use the chauvenets table. Use the normal distribution table. es/standard-normal-table 0.06 0.07 0.08 Z 0.00 0.0180 0.0120 0.0160 0.0199 0.0239 0.0279 0.0319 0.0000 0.0040 0.0398 0.0438 0.0478 0.0517 0.0557 0.0596 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 = 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 20 1.9 2.0 2.1 2.2 2.3 74 2.4 2.5 2.6 24 2.7 2.8 2.9 3.0 3.1 = Ee 0.04 0.05 0.02 02 0.03 0.1179 0.1217 0.1255 0.1293 0.1331 0.1368 0.1554 0.1591 0.1628 0.1664 0.1700 0.1736 3.5 3.6 3.7 3.8 0.0793 0.0832 0.0871 0.0910 0.0948 0.0987 0.1026 0.10 1480 0.1517 0.1879 0.1915 0.19502019 0.2054 0.2088 0.2123 0.2157 0.2190 0.2224 0.2422 0.2454 0.2486 0.2517 0.2549 0.1985 0.2324 0.2257 0.2293 0.2580 0.2611 0.2642 0.2389 Amor P7704 0.2764 0.2794 0.2823 0.2852…
Probability & Statistics 1
34.2< u< 50.2 find margin of mean

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