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# There is a sample of cells in a sample containing cells to begin with how many cells and chromosomes

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mosomes will there be every cell undergoes mitosis?
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interested in whether or not there is a benefit trying to locate their restaurants in shopping centre food courts. Food Court Not in Food Court Average Revenue 1609.69 1710.0 Standard deviation 190.85 150.83 Sample size 12 38 a. Conduct a test at the 5% level of significance to determine if there is a difference in average revenue between restaurants located in food courts to those that aren’t. Make whatever assumptions and carry out any checks that are necessary to conduct this test. (5)
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estimating the regression are presented below. The sample covers the annual series spanning from 1981-2018. Î1 = 2.4 + 0.75 Y1 + 0.45 CRD1 (1.02) (0.26) (0.12) R2 = 0.78 D-W-d= 1.15 where I, Y and represent real private investment, real GDP and real credits respectively. a) Suppose you would like to perform the test for the first order autocorrelation using the LM type test technique. Define the auxiliary regression to this end. Also suppose you found R-squared from the auxiliary regression to be 0.62, perform the LM test for the first order autocorrelation b)Suppose you confirmed that there is a first order autocorrelation problem in the error term, show how you use the GLS (Cochrane-Orchutt two step method) method to overcome the problem
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year will increase the amount charged on its credit card. The bank makes this offer to a random sample of 225 of its credit card customers. It then compares how much these customers charge this year with the amount that they charged last year. The mean increase in the sample is \$560, with sum of squares SS= \$1,417,250. Is there significant evidence at 1% level that the mean amount charged increases under the no-fee offer? First, in the blank below report the observed value of the test statistic (e.g., observed z, observed t, or observed χ2 you will use for hypothesis testing  2. Enter the critical value for the statistic and degrees of freedom. Do we reject H0 or fail to reject
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, a standard deviation of \$1 would be considered large if it is describing the variability from store to store in the price of an ice cube tray. On the other hand, a standard deviation of \$1 would be considered small if it is describing store-to-store variability in the price of a particular brand of freezer. A quantity designed to give a relative measure of variability is the coefficient of variation. Denoted by CV, the coefficient of variation expresses the standard deviation as a percentage of the mean. It is defined by the formula CV = 100(s/ x ). Consider two samples. Sample 1 gives the actual weight (in ounces) of the contents of cans of pet food labeled as having a net weight of 8 oz. Sample 2 gives the actual weight (in pounds) of the contents of bags of dry pet food labeled as having a net weight of 50 lb. There are weights for the two samples. Sample 1 7.7 6.8 6.5 7.2 6.5 7.7 7.3 6.6 6.6 6.1 Sample 2 50.7 50.9 50.5 50.3 51.5 47 50.4 50.3 48.7 48.2 (a) For each of the given samples, calculate the mean and the standard deviation. (Round all intermediate calculations and answers to five decimal places.) For sample 1 Mean Standard deviation For sample 2 Mean Standard deviation (b) Compute the coefficient of variation for each sample. (Round all answers to two decimal places.) CV1 CV2
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oups were used (lawyer, physical therapist, cabinetmakers, and system analysts). The results obtained for a sample of 5 individuals from each groups. Using the "ANOVA Output" below, please answer the following questions ( Use the significance level 5%). Q1. The value of the test statistic is ____________ QUESTION 2 Q2. The p- value of the test is _________________ QUESTION 3 Q3. At the 5% significance level, the null hypothesis is rejected if the value of the F statistics is >= _________________ QUESTION 4 Q4. Interpret the ANOVA result at the 5% significance level. Is there any difference in the job satisfaction among the four occupational groups? Answer either yes or no. Explain the reason of your answer statistically. QUESTION 5 Data from a Trucking Company is Southern California were utilized to examine the relationship among total daily travel time (y), miles to traveled (X1), and the number of deliveries (x2). Based on the "Regression Output" below, please answer the following questions. Q5. The number of sample used in this regression analysis is______________ QUESTION 6 Q6. What is the value of the coefficient of determination? QUESTION 7 Q7. What is the F test statistic value for the regression model significane test? QUESTION 8 Q8. What is the predicted travel time for X1 =95, and X2= 6? QUESTION 9 Q9. Is X2 (number of deliveries) related to Y (travel time)? Answer either yes or no. Explain the reason of your answer statistically. ATTACHED ARE GRAPHS
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1.AU MAT 120 Systems of Linear Equations and Inequalities Discussion

mathematicsalgebra Physics