Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN: 9781133382119
Author: Swokowski
Publisher: Cengage
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With a p-value of 0.0007, the researcher has evidence that the [Select] personal computer per week is [Select] Select] [Select] some very strong statistically significant d time on their ed people.arrow_forwardPlease find the solution to the incorrect ones onlyarrow_forwardA mail-order catalog claims customers will receive their product within 4 days of ordering. A competitor believes that this claim is an underestimate. The competitor test the following hypothesis H0: mu = 4 versus Ha: mu > 4. Determine the type one error. Group of answer choices A. Type I error occurs if the competitor would conclude that mu > 4 when, in fact, mu > 4. B. Type I error occurs if the competitor would conclude that mu > 4 when, in fact, mu = 4. C. Type I error occurs if the competitor would not conclude that mu > 4 when, in fact, mu > 4. D. Type I error occurs if the competitor would not conclude mu > 4 when, in fact, mu = 4.arrow_forwardSuppose P(A) = P(B) = 0.25 and P(AUB) = 0.45. What is P(AN B)?arrow_forwardIn a recent year, the mean weight of newborn boys in a certain country was 7.5 pounds. A doctor wants to know whether the mean weight of newborn girls differs from this. State the appropriate null and alternate hypotheses. The null hypothesis is :H0μ ▼(Choose one) .The alternate hypothesis is :H1μ ▼(Choose one) .arrow_forwardSuppose IQ scores were obtained for 20 randomly selected sets of siblings. The 20 pairs of measurements yield x = 100.88, y = 100.55, r= 0.917, P-value = 0.000, and y= -6.07 + 1.06x, where x represents the IQ score of the younger child. Find the best predicted value of y given that the younger child has an IQ of 110? The best predicted value of y is (Round to two decimal places as needed.) Question Viewer Enter your answer in the answer box. ? search 60%arrow_forwardAn alloy manufacturer is investigating if they can improve the strength of one of their alloysby producing it at a lower temperature. To investigate that, they produce the alloy at twodifferent temperatures (high and low) and then measure the breaking strength of randomsamples of specimens from each. The following table represents the strength of the randomsamples at the higher and lower temperature, in units of 0.001-inch deflection. Temp. Strength (0.001 inch)High 87 64 66 85 76 49 97 73 75 77 69 68 89 27 58 84Low 88 82 81 85 79 80 88 78 77 85 79 76 Do the results support the hypothesis that lowering the production temperature can improve thestrength of the alloy, with 95% confidence? (Hint: Don’t forget investigating variances. Use 98% confidence for that.)arrow_forwarda random sample of n = 25 individuals is selected from a population with u = 20 and a treatment administered to each individual in the sample. After treatment the sample mean is found to be m =22.2 with SS =384. a) how much difference is there between the mean for the treated sample and the mean for the original population? 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