o exercises II Pg.2G EXPERIMENTAL CROSS 2-1: Hypothesis: This reciprocal cross of the phenotype results in a ratio of in the F, generation and is therefore consistent with an mode of inheritance. F, Phenotype # Observed # Expected (obs-exp)? exp Sepia e 2 WT o Selia o WT Q 13 2.14 0.38 5.42 df= %3D 0.07 = .38 5.42 Support or Reject Hypothesis:
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- Two Factor ANOVA How do i fill in the missing values on the chart and find out if the interaction is significant?When the correlation coefficient (r) is zero, we can say: Choose one: a. the variables are not related B. the regression line fit is perfect C. the regression line is horizontal D. the variables are not linearly relatedDetermine whether the results appear to have statistical significance, and also determine whether the results appear to have practical significance. One of a botanist's hybridization experiments with peas yielded 500 offspring with 130 of those peas (or 2 %) having yellow pods. According to genetic theory, 25% of the offspring peas should have yellow pods. Question content area bottom Part 1 Does the result have statistical significance? According to genetic theory, (how many?) of the 500 peas would have yellow pods. The difference between the actual number of peas with yellow pods and the expected number of peas with yellow pods is enter your response here pea(s). This difference does? or does not? appear to be statistically significant. (Type whole numbers.)
- r. Lyte wishes to study speed of Reaction Time to press a button in response to the onset of a lamp. The independent variable (IV) is the color of the light produced by the lamp (red, orange, yellow, green, or blue). Since only 10 participants are available, she elects to administer the IV within-subjects with all 10 participants being exposed to all five levels of the color variable. The order of the color of the light presentation is to be counterbalanced. Using concepts from the textbook, why would Dr. Lyte need to use counterbalancing in this scenario?Testing the Effects of Tea on the Immune SystemWe have seen that drinking tea appears to offer a strong boost to the immune system. In a study extending the results,1 blood samples were taken on 5 participants before and after one week of drinking about five cups of tea a day (the participants did not drink tea before the study started). The before and after blood samples were exposed to e.coli bacteria, and production of interferon gamma, a molecule that fights bacteria, viruses, and tumors, was measured. Mean production went from 155 pg/mL before tea drinking to 448 pg/mL after tea drinking. The mean difference for the 5 subjects is 293 pg/mL with a standard deviation in the differences of 242. The paper implies that the use of the t-distribution is appropriate.Use the information to test whether mean production of interferon gamma as a response to bacteria is significantly higher after drinking tea than before drinking tea. Use a 5% significance level.1Adapted from Kamath, A., et.…The mango is considered the "king of fruits" in many parts of the world. Mangoes are generally harvested at the mature green stage and ripen up during the marketing process of transport, storage, and so on. During this process, about 30% of the fruit is wasted. Because of this, the impact of harvest stage and storage conditions on the postharvest quality are of interest. In this experiment, the fruit was harvested at 80, 95, or 110 days after the fruit setting (the transition from flower to fruit) and then stored at temperatures of 20∘C, 30∘C, or 40∘C. For each harvest time and storage temperature, a random sample of mangoes was selected, and the time to ripening was measured. What are the factors, the treatments, and the response variables? Take each item from the answer bank and place into the appropriate category.
- statistics teacher realize that his students keep using cell phones during the class. Then he did some research and found out that people use cell phones for 7.2 hours per day on average in turkey, and usasge time variability around that average is 2,0449. Then he decides to give an assignment of reading books as an alternative of cell phone usage in exchange of 50 extra credit to thir statistics examç After the exam, he collecte3d the data of cell phone usage time from his 127 students and calculated the average cell phone usage time drops to 6.8 hours per day. Under the assumption that probability of uncontrolled factors leading you the wrong statistical decision is five percent, conduct the statistical analysis to decide whether decrease in the cell phone usage time is real or it happens just because of the randım chance and interpret the resulsts.Studies have found that people find symmetrical faces more attractive than faces that are not symmetrical. To test this theory, a psychiatrist selected a random sample of people and showed them pictures of three different faces: a face that is perfectly symmetrical, a face that is slightly asymmetrical, and a face that is highly asymmetrical. She then asked them to rate the three faces in terms of their attractiveness on a scale from 1 to 7, with 7 being the most attractive. Test the null hypothesis that attractiveness does not differ with facial symmetry.Aviation and high altitude physiology is a specialty in the study of medicine. Let x= partial pressure of oxygen in the alveoli when breathing naturally available air. Let y= Partial pressure when breathing pure oxygen. The (x,y) that appears corresponding to elevations from 10,000 feet to 30,000 feet and 5000 foot intervals for a random sample volunteers. Although the medical data were collected using airplanes, they apply equally to mount Everest climbers (summit 20,028 feet) x 7.5 4.7 4.2 3.3 2.1 (units: mm hg\10) y 43.8 32.3 26.2 16.2 13.9 (units: mm hg\10) Σx=21.8 Σy=132.4 Σx2=111.28 Σy2= 4103.82 Σxy=673 r=.972 use a 5% level of significance to test the claim that p>0. (Use 2 decimal places) t= critical t= Se=3.3276 a=.765 b=5.898 find the predicted pressure when breathing pure oxygen for the pressure from breathing available air is x=2.5.(use two decimal places) find a 99% confidence interval for y when x=2.5.(use 1 decimal place) lower limit= upper limit=he was a 5%…
- Peter is conducting an experiment to determine whether a new medication is effective in reducing swelling. He gets 1,500 volunteers with swelling and divides them into two groups. The control group does not receive any medication; the treatment group receives the medicationThe patients in the treatment group show reduced signs of swelling. What can Peter conclude from this experiment?The least-squares regression equation is y=784.6x+12,431 where y is the median income and x is the percentage of 25 years and older with at least a bachelor's degree in the region. The scatter diagram indicates a linear relation between the two variables with a correlation coefficient of 0.7962. In a particular region, 26.5 percent of adults 25 years and older have at least a bachelor's degree. The median income in this region is $29,889. Is this income higher or lower than what you would expect? Why?The least-squares regression equation is y=728.0x+14,705 where y is the median income and x is the percentage of 25 years and older with at least a bachelor's degree in the region. The scatter diagram indicates a linear relation between the two variables with a correlation coefficient of 0.8165. For every dollar increase in median income, the percent of adults having at least a bachelor's degree is ___%, on average. For a median income of $0, the percent of adults with a bachelor's degree is ____%.
