42. Which of the following statements is(are) TRUE? 1. Leaf elongation is an endogenous variable. 8. Light, air temperature and soil temperature are exogenous variables. A. I only B. II only C. Both I and II 43. Which of the following statements is(are) TRUE? I. The factors of leaf elongation are light and soil temperature. II. Light was found to have no effect on air temperature. A. I only B. Il only C. Both I and II 44. Which of the following statements is(are) TRUE? 1. Light and soil temperature have direct effects on leaf elongation. II. Only air temperature has an indirect effect on leaf elongation. D. Neither I nor II D. Neither I nor II
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- An experiment was conducted to study the extrusion process of biodegradable packaging foam. Two of the factors considered for their effect on the foam diameter (mm) were the die temperature(145°C vs.155°C) and the die diameter (3 mm vs. 4 mm). The results are in the accompanying data table. The question are attached in a photoFill the chi square for Cross 1 and Cross 2 from the following data in the attached image: Cross 1: Phenotypes Ratio Observed Expected (O-E)2/E Totals X2 = Cross 2: Phenotypes Ratio Observed Expected (O-E)2/E Totals X2 =The height ( in inches) of a plant x months after an experiment begins is given by
- The 98.6 degree standard for human body temperature was derived by a German doctor in 1868. In an attempt to verify his claim, Mackowiak, Wasserman, and Levine22 took temperatures from 148 healthy peopleover a 3-day period. A data set closely matching the one in Mackowiak’s article was derived by Allen Shoemaker, and appears in the Journal of Statistics Education.23 The body temperatures for these 130 individuals are shown in the relative frequency histogram that follows. See Attachment a. Describe the shape of the distribution of temperatures.b. Are there any unusual observations? Can you think of any explanation for these?c. Locate the 98.6-degree standard on the horizontal axis of the graph. Does it appear to be near the center of the distribution?A random sample of 150 individuals (males and females) was surveyed, and the individuals were asked to indicate their year incomes. The results of the survey are shown below. Income Category Category 1: $20,000 up to $40,000 Category 2: $40,000 up to $60,000 Category 3: $60,000 up to $80,000 Edit Format Table Test at a = .05 to determine if the yearly income is independent of the gender. (CSLO 1,6,7) 12pt Male 10 35 15 V Paragraph BI U A Female 30 15 45 > 2 T² :To estimate ages of trees, forest rangers use a linear model that relates tree diameter to age. The model is useful because tree diameter is much easier to measure than tree age (which requires special tools for extracting a representative cross section of the tree and counting the rings). Use the data in the table below collected for a certain variety of oaks to answer the following questions. Diameter (in.) Age (years) 2.5 15 4.0 24 6.0 32 8.0 56 9.0 49 9.5 76 12.5 90 15.5 89 (a) State, with a reason, which variable is the response variable. (b) Obtain the scatter plot for the data and comment on the relationship between the variables. (c) Determine the Pearson correlation coefficient and comment on the result obtained. (d) Obtain the graph and the equation of the regression line for the data. (e) State the slope and give an interpretation of the slope of this regression line. (f) Use the equation to estimate the age of an oak whose diameter is 18 in. (g) Determine the coefficient of…
- One operation of a mill is to cut pieces of steel into parts that will later be used as the frame for front seats in an automobile. The steel is cut with a diamond saw and requires the resulting parts to be within 10.005 inch of the length specified by the automobile company. Data are collected from a sample of 50 steel parts and are shown in the following table. The measurement reported is the difference in inches between the actual length of the steel part, as measured by a laser measurement device, and the specified length of the steel part. For example, the first value, -0.003, represents a steel part that is 0.003 inch shorter than the specified length. Complete parts a through c Click the icon to view the data table. a. Construct a frequency distribution Difference in Length -0.005 but less than -0.003: -0.003but less than -0.001 -0.001but less than 0.001 0.001but less than 0.003 0.003but less than 0.005 Frequency Difference Between Actual and Specified Lengths 0.002 0 -0.003…An article published by the American Meteorological Society, gives a rating system used to classify Nor'easter storms that frequently hit New England which often cause havoc near the ocean. A severe storm has an average peak wave height of μ=16.4μ feet for waves near the shore. Suppose that a Nor'easter is in progress at the severe storm class rating. Peak wave heights are usually measured from land off piers. Suppose that a reading of 32 waves showed an average wave height of x¯=14.3 feet. Previous reports of severe storms indicate that σ=3.5 feet. Does this information suggest that the storm is decreasing below the severe rating? Use α=0.01 to test the claim.What is the level of significance? State the null and alternate hypotheses. H0:H0:? p σ μ χ Select an answer < = ≠ > H1:H1:? μ p χ σ Select an answer ≠ > = <10.53 A study was conducted at Virginia Tech to de- termine if the "strength" of a wound from surgical inci- sion is affected by the temperature of the knife. Eight dogs were used in the experiment. "Hot" and "cold" incisions were made on the abdomen of each dog, and the strength was measured. The resulting data appear below. Strength 5120 Dog Knife Hot Cold 1 1 8200 Hot Cold 10, 000 8600 2 2 10, 000 9200 3 Hot 3 Cold Hot 10, 000 6200 4 4 Cold
- The authors of a paper compared two different methods for measuring body fat percentage. One method uses ultrasound, and the other method uses X-ray technology. The table gives body fat percentages for 16 athletes using each of these methods (a subset of the data given in a graph that appeared in the paper). For purposes of this exercise, you can assume that the 16 athletes who participated in this study are representative of the population of athletes. Athlete Ho: Md = 0 Ha: Ha 0 = 0 Ho: Md < 0 Ha: Md P-value = X-ray 4.75 7.00 9.25 12.00 5 17.25 6 29.50 7 5.50 8 6.00 9 8.00 10 8.50 11 9.25 12 11.00 13 12.00 14 14.00 15 17.00 16 18.00 = 0 1 2 3 4 USE SALT Ultrasound 4.75 4.00 9.00 11.75 17.00 27.75 6.50 6.75 8.75 9.75 9.50 12.00 12.25 15.75 18.00 18.50 Find the test statistic and P-value. (Use a table or SALT. Round your test statistic to one decimal place and your P-value to three decimal places.) t = 0.534 0.000 X X State the conclusion in the problem context. We fail to reiect H.…Find the chara oderietin palynourel of the amatrex 3. 2.Find the Zstat, and P-Value?