Is there a gender difference in red-light running? Observations are madewatching cars from the point when the light turns from green (Go) to yellow(Caution), and then yellow to red (Stop). Traffic violations and gender of thedriver are recorded and summarized in the table below:Table B: Red-light running by genderActionMaleFemaleRuns red2110Runs yellowSlows and stops23225576After computing a chi-square test of independence at alpha = 0.05, completethe sentences below by choosing 4 correct answers (NO PATIAL CREDIT):Because the obtained Chi-square is [v] than the critical value of Chi-square, p-value is [w] than alpha. Consequently, [x] hypothesis is [y]. Thus, thereis [z] evidence that one variable is contingent upon the other variable.Because the obtained Chi-square is less than the critical value of Chi-square,Because the obtained Chi-square is larger than the critical value of Chi- Because the obtained Chi-square is larger than the critical value of Chi-square,p-value is less than alpha.p-value is larger than alpha.Consequently, null hypothesis is rejected.Consequently, null hypothesis is not rejected.Consequently, alternative hypothesis is rejected.Consequently, alternative hypothesis is not rejected.Thus, there is sufficient evidence that one variable is contingent upon theother variable at the alpha level.Thus, there is no sufficient evidence that one variable is contingent uponthe other variable at the alpha level.

There are two categorical variables which are action and gender. Action has 3 cases and gender has 2…

Answered: Is there a gender difference in…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A paper describes a study of the use of MRI (Magnetic Resonance Imaging) exams in the diagnosis of breast cancer. The purpose of the study was to determine if MRI exams do a better job than mammograms of determining if women who have recently been diagnosed with cancer in one breast have cancer in the other breast. The study participants were 940 women who had been diagnosed with cancer in one breast and for whom a mammogram did not detect cancer in the other breast.These women had an MRI exam of the other breast, and 111 of those exams indicated possible cancer. After undergoing biopsies, it was determined that 30 of the 111 did in fact have cancer in the other breast, whereas 81 did not. The women were all followed for one year, and four of the women for whom the MRI exam did not indicate cancer in the other breast were subsequently diagnosed with cancer that the MRI did not detect. The accompanying table summarizes this information. CancerPresent Cancer NotPresent Total MRI…
Here is a dataset containing plant growth measurements of plants grown in solutions of commonly-found chemicals in roadway runoff.Phragmites australis, a fast-growing non-native grass common to roadsides and disturbed wetlands of Tidewater Virginia, was grown in a greenhouse and watered with either: Distilled water (control); A weak petroleum solution (representing standard roadway runoff); Sodium chloride solution; Magnesium chloride solution; De-icing brine (50% sodium chloride and 50% magnesium chloride).Twenty grass preparations were used for each solution, and total growth (in cm) was recorded after watering every other day for 40 days.-Perform the correct statistical test to determine the p-value.-Report your answer rounded to four decimal places.-You should use formulas, functions, and the Data Analysis ToolPak in MS Excel to avoid additive rounding errors. Here are some useful functions: =t.test(array1,array2,tails,type) Produces a p-value for any…
Based on a survey of a random sample of 900 adults in the United States, a journalist reports that A random sample of 100 movie goers was asked to state his or her gender and favorite soft drink available at the local movie theater. The results appear in the table below. Is there a relationship between gender and soft drink preference? Coke Diet Coke Sprite Male 23 11 12 Female 16 28 10 To analyze the results, which of the following tests is most appropriate? A)Chi-square test of independence B)Chi-square test of homogeneity C)Two sample t-test D)Matched pair t-test E)Chi-square goodness of fit
The scientific productivity of major world cities was the subject of a recent study. The study determined the number of scientific papers published between 1994 and 1997 by researchers from each of the 20 world cities, and is shown below. City Number of papers City Number of papers City 1 1616 City 11 33 City 2 2626 City 12 99 City 3 1212 City 13 2121 City 4 55 City 14 44 City 5 22 City 15 55 City 6 2626 City 16 44 City 7 66 City 17 2020 City 8 2525 City 18 1717 City 9 1616 City 19 2222 City 10 66 City 20 2525 Construct a 95 % confidence interval for the average number of papers published in major world cities. blank <μ<blank
1) An insurance investigator has observed the people with some astrological signs tend to be safer drivers the people with other signs. Using insurance records, the investigator classified 200 people according to their astrological signs and whether or not they were involved in a car accident during the previous 12 months. The data are as follows: Libra Leo Gemini Accident 7 4 19 No Accident 73 46 1 Do the data indicate a significant relationship between sign and accidents? Compute a Chi-Square Test at the .05 level of significance.
Skin tags are small, soft growths that can develop in creases of the skin, such as an eyelid. Suppose a doctor wishes to test the effectiveness of tea tree oil at preventing skin tags. The table summarizes the results of an experiment on 100100 individuals. 60% tea tree extract 30% tea tree extract Placebo Total Skin tag 11 16 17 44 No skin tag 24 19 13 56 Total 35 35 30 100 Determine which Venn diagrams accurately represent the information from the table.
In a study, 10 healthy men were exposed to diesel exhaust for 1 hour. A measure of brain activity (called median power frequency, or MPF in Hz) was recorded at two different locations in the brain both before and after the diesel exhaust exposure. The resulting data are given in the accompanying table. For purposes of this exercise, assume that the sample of 10 men is representative of healthy adult males. Subject MPF (in Hz) Location 1before Location 1after Location 2before Location 2after 1 6.4 8.0 6.9 9.4 2 8.6 12.7 9.5 11.2 3 7.4 8.4 6.6 10.2 4 8.6 9.0 9.0 9.7 5 9.8 8.4 9.6 9.2 6 8.9 11.0 9.0 11.9 7 9.1 14.4 7.9 9.3 8 7.4 11.1 8.1 9.1 9 6.7 7.3 7.2 8.0 10 8.9 11.2 7.4 9.3 Construct a 90% confidence interval estimate for the difference in mean MPF at brain location 1 (in Hz) before and after exposure to diesel exhaust. (Hint: See Example 13.7.) (Use ?d = ?before − ?after. Use a table or technology. Round your answers to two decimal places.)…
Marine biologists have noticed that the color of the outermost growth band on a clam tends to be related to the time of year in which the clam dies. A biologist conducted a small investigation of whether this is true for the species Protothaca staminea. She collected a sample of 50 clam shells in February and 27 clam shells in March. 15 of the shells from February had a dark color on the outermost growth band, whereas 8 of the shells from March had a dark color on the outermost growth band. Carry out a hypothesis test to see if there is a difference in the proportion of shells with a dark outermost growth band between the two months. The point estimate for the true difference in proportion of dark growth bands between February and March is:
Marine biologists have noticed that the color of the outermost growth band on a clam tends to be related to the time of year in which the clam dies. A biologist conducted a small investigation of whether this is true for the species Protothaca staminea. She collected a sample of 50 clam shells in February and 27 clam shells in March. 15 of the shells from February had a dark color on the outermost growth band, whereas 8 of the shells from March had a dark color on the outermost growth band. Carry out a hypothesis test to see if there is a difference in the proportion of shells with a dark outermost growth band between the two months. Let ? = 0.01.Note: Do all calculations as February - March A) The point estimate for the true difference in proportion of dark growth bands between February and March is: I need help and webassign rejected the 0.0037 as the answer. I'm so lost. I emailed my professor and he hasn't gotten back to me. Please help. Thank you.
The accompanying frequency distribution on depositedenergy (mJ) was extracted from the article “ExperimentalAnalysis of Laser-Induced Spark Ignition of LeanTurbulent Premixed Flames” (Combustion and Flame,2013: 1414–1427).1.0− , 2.0 5 2.0− , 2.4 112.4− , 2.6 13 2.6− , 2.8 302.8− , 3.0 46 3.0− , 3.2 663.2− , 3.4 133 3.4− , 3.6 1413.6− , 3.8 126 3.8− , 4.0 924.0− , 4.2 73 4.2− , 4.4 384.4− , 4.6 19 4.6− , 5.0 11a. What proportion of these ignition trials resulted in adeposited energy of less than 3 mJ?b. What proportion of these ignition trials resulted in adeposited energy of at least 4 mJ?c. Roughly what proportion of the trials resulted in adeposited energy of at least 3.5 mJ?d. Construct a histogram and comment on its shape.
A sample of men and women who had passed their driver's test either the first time or the second time were surveyed, with the following results: Results of the driving testGender First time Second timeMen 126 211Women 135 178a) Do these data suggest that there is a relationship between gender and the passing of their driver’s test from which the present sample was drawn? Let alpha=.05
Mendel counted 4000 peas from a dihybrid cross and predicted a 9:3:3:1 phenotypic ratio with the following results. Yellow and smooth peas 2100; yellow and wrinkled peas 700: green and smooth peas 859 and green and wrinkled peas 341. Support or refute these data with a CHI-Square analysis. State the Null hypothesis and its outcome for this set of data.

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