Standard Deviation (use all three trials) 10.01981.0 26 bajnoqo1 21 ogreva You will need to do this for all measurements (2 ml, 3 ml, 4 ml and 5 ml) and for the comparison of pipeting with the transfer and eppendorf pipets. 2 ml measurements Trial 1 Trial 2 Trial 3 Average Sum of squares Variance (sum/n-1) Standard deviation Square root of variance Measured value 2.12 1.94 2.41 2.16 Deviation (value- mean) -0.04 -0.22 0.25 Deviation squared 0.0016 0.0484 0.0625 0.1125 0.05625 0.237 The average is reported as 2.16 g± 0.237

The population standard deviation for the heights of dogs, in inches, in a city is 3.7 inches. If we want to be 95% confident that the sample mean is within 2 inches of the true population mean, what is the minimum sample size that can be taken? z0.101.282z0.051.645z0.0251.960z0.012.326z0.0052.576 Use the table above for the z-score, and be sure to round up to the nearest integer.

Does it reject null hypothesis (Ho)

An article shows data to compare several methods for predicting the shear strength for steel plate girders. Data for two of these methods, the Karlsruhe and Lehigh procedures, when applied nine times to a girder, are shown in the following table. We wish to determine whether there is any difference between the two methods. Assume the same standard deviations. (Note that we will perform unpaired comparison. We do not perform a paired test.) Karlsruhe Method Lehigh Method 1.21304 1.160384 1.251478 1.268834 1.218271 1.214254 1.232497 1.244961 1.142573 1.091621 1.286563 1.2297 1.239222 1.219269 1.161394 1.162844 1.169785 1.118203 1.231058 1.199258 1.233329 1.269486 1.153381 1.106666 1.2. For a sample standard deviation, use Excel function STDEV.S(), not STDEV.P(). Fill in the blanks below: Karlsruhe Method Lehigh Method x1 = x2 = s1 = s2 = n1 = n2 =   1.3. Do the data suggest that the two…

You may need to use the appropriate appendix table or technology to answer this question. The following results are for independent random samples taken from two populations. Sample 1 Sample 2 n1 = 20 n, = 30 X1 = 22.7 X2 = 20.1 s, = 2.3 2 = 4.6 (a) What is the point estimate of the difference between the two population means? (Use x, - x,.) 2.72 (b) What is the degrees of freedom for the t distribution? (Round your answer down to the nearest integer.) 48 (c) At 95% confidence, what is the margin of error? (Round your answer to one decimal place.) 1.9 (d) What is the 95% confidence interval for the difference between the two population means? (Use x, - Round your answers to one decimal place.) .6 to 4.4

I need help with all parts of this question 4

You may need to use the appropriate technology to answer this question. Information regarding the ACT scores of samples of students in three different majors is given below. esc Sample Size 68°F Clear Average Sample Variance ? (a) Compute the overall sample mean . 29.5 X Between Treatments Management Within Treatments Total f2 12 26 f3 17 # Source of Variation Sum of Squares * (b) Set up the ANOVA table for this problem including the test statistic. (Round your mean squares to four decimal places and your F statistic to two decimal places.) Major Finance 000 F 9 23 $ 6 (c) Using a = 0.01, determine the critical value of F. (Round your answer to two decimal places.) f5 Accounting (d) Using the critical value approach, test to determine whether there is a significant difference in the means of the three populations. O We should not reject H. and therefore can conclude that there is a significant difference among the means of the three populations. We should not reject Ho and therefore…