Repeat problem P1-38 lithe absorption- concentration data for another sample is obtained as
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- The table of means for the data is as follows: 30% 50% Marginal Mean Hybrid Non-Hybrid Marginal Mean A 2.93 L 1.43 В M K Find A and B.arrow_forwardFifty male subjects drank a measured amount x (in ounces) of a medication and the concentration y (in percent) in their blood of the active ingredient was measured 30 minutes later. The sample data are summarized by the following information: n = 50 Ex = 112.5 Ex? = 356.25 %3D Ey = 4.83 Ey = 0.667 Exy = 15.255 0 < x < 4.5 Or= 0.875 Or= 0.709 Or= -0.846 Or=0.460 Or= 0.965arrow_forwardYou have been hired to measure the concentration of ammonia in water from wells at two districts on Long Island. After sampling 10 wells in one of the districts you find the values are, in mg/L: 6.4, 2.1, 1.4, 0.7, 6.8, 3.2, 2.7, 1.6, 4.9, 1.2. Your assistant plots the data from the second set of wells and the histogram of data from that sample looks pretty much the same as for your data set. Which statistical test do you anticipate that you will use? An one-sample t-test An unpaired, two-sample t-test A paired, two-sample t-test A one-way anova A Mann-Whitney U test Main Contentarrow_forward
- Exhibit 9-5 n = 16 HO: u z 80 x = 75.607 Ha: µ < 80 o = 8.246 Assume the population is normally distributed. 4. Refer to Exhibit 9-5. The p-value is equal to .0332 .9834 -.0166 .0166arrow_forwardI want to know if I calculated the amount of boys required to ensure a two-sided test of hypothesis has 80% power to detect a difference in BMI of 2 units? This is my question #1 of my homework. Thank you.arrow_forwardLet ?1 denote true average tread life for a premium brand of P205/65R15 radial tire, and let ?2 denote the true average tread life for an economy brand of the same size. Test H0: ?1 − ?2 = 5000 versus Ha: ?1 − ?2 > 5000 at level 0.01, using the following data: m = 45, x = 42,100, s1 = 2400, n = 45, y = 36,200, and s2 = 1800. Calculate the test statistic and determine the P-value. (Round your test statistic to two decimal places and your P-value to four decimal places.) z = P-value = State the conclusion in the problem context. Fail to reject H0. The data does not suggest that the difference in average tread life exceeds 5000.Reject H0. The data suggests that the difference in average tread life exceeds 5000. Fail to reject H0. The data suggests that the difference in average tread life exceeds 5000.Reject H0. The data does not suggest that the difference in average tread life exceeds 5000.arrow_forward
- Let ?1 denote true average tread life for a premium brand of P205/65R15 radial tire, and let ?2 denote the true average tread life for an economy brand of the same size. Test H0: ?1 − ?2 = 5000 versus Ha: ?1 − ?2 > 5000 at level 0.01, using the following data: m = 45, x = 42,100, s1 = 2400, n = 45, y = 36,200, and s2 = 1800.Calculate the test statistic and determine the P-value. (Round your test statistic to two decimal places and your P-value to four decimal places.) z = P-value = State the conclusion in the problem context. Fail to reject H0. The data does not suggest that the difference in average tread life exceeds 5000.Reject H0. The data suggests that the difference in average tread life exceeds 5000. Fail to reject H0. The data suggests that the difference in average tread life exceeds 5000.Reject H0. The data does not suggest that the difference in average tread life exceeds 5000.arrow_forward18. We want to study the relationship between size (sq. m) and the price of houses. We randomly chose 25 houses and recorded the size and price of them. The excel output for the data is given below: Regression statistics: Multiple R: 0.586378154 R Square: 0.343839339 Adjusted R Square: 0.315310615 Standard Error: 34761.73162 Observations: 25 df SS MS F SignificanceF Regression 1 14563843876 1.46E+10 12.05239 0.0020659 Residual 23 27792693660 1.21E+09 Total 24 42356537536 Coefficients StandardError T stat P-value lower95% upper95% Lower95.0% upper95.0% Intercept 189769.0334 28557.61831 6.645128 8.85E-07 130693.1 248844.968 130693.1 248844.968 Size (sq.meter) 444.1951525 127.9490924 3.471655 0.002066 179.51229 708.878016 179.51229 708.878016 Write down your answers to (a)-(c) in the box below. Give your answers to 4 decimal places. Write down 95% confidence interval for the slope of the relationship between price and size. We want to…arrow_forwardSarrow_forward
- Question #7 Part 2arrow_forward2. Two kinds of bumper guards, six of each kind, were mounted on a certain make of compact car. Each car was then run into a concrete wall at 5 miles per hour and the costs of repairs (in dollars) was recorded. Summary of the data is shown below. n = 6 i = 144 si = 363.20 n =6 i = 149 si = 202.00 Test at the 0.02 level of significance whether it is reasonable to assume that the two populations sampled have equal variances.arrow_forwardExhibit 10-11An insurance company selected samples of clients under 18 years of age and over 18 and recorded the number of accidents they had in the previous year. The results are shown below. Under Age 18 Over Age 18 n1 = 500 n2 = 600 Number of accidents = 180 Number of accidents = 150 We are interested in determining if the accident proportions differ between the two age groups. Refer to Exhibit 10.11. The p-value is _____. less than .001 more than .10 .0228 .3arrow_forward
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