Please show work for this please and thank you :)) A%5BNrUMt2cpXCYPMbxYU5eL4ucBLHIBQ"%5D%2C"action"%3A"open"%2C"userld"%3A"109893153201596...e A Jorgenson Alg. »e.duMichael Aguilar - Unit 8 Assessment.pdf210%Turn InCutner.John roles a dice. The table to the right represents the outcomes throughout hisexperiment.Number ona. What is the theoretical probability thatan odd number will be rolled on aFrequencyCubenumber cube?1711b. What was the experimental probabilityof how many times and odd number wasactually rolled?A deck of cards is used, determine the theoretical probability of each: (Show ALL12:50 PM5/28/2021beatsaudio539 323456

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Algebra

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Algebra and Trigonometry (6th Edition)

6th Edition

ISBN:9780134463216

Author:Robert F. Blitzer

Publisher:Robert F. Blitzer

ChapterP: Prerequisites: Fundamental Concepts Of Algebra

Section: Chapter Questions

Problem 1MCCP: In Exercises 1-25, simplify the given expression or perform the indicated operation (and simplify,...

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In ANOVA, what will be the conclusion when the means of the between groups vary from within groups? a.Accept the null hypothesis b.Reject the null hypothesis c.Conduct main effects d.Conduct interaction effects
A Deputy Registrar at a certainty university conducted a Chi-Square test of association to establish whether or not employee grade and level of absenteeism were associated. Table 2 below shows part of the results which were obtained. Table 2: Cross tabulation of employee grade and level of absenteeism Contingency Tables Grade LAbsence 1 2 3 Total low Observed 8 1 0 9 Expected 2.90 3.48 2.61 9.00 high Observed 2 11 9 22 Expected 7.10 8.52 6.39 22.00 Total Observed 10 12 9 31 Expected 10.00 12.00 9.00 31.00 2.1 State the appropriate measurement scales for the variables. 2.2 State the null and alternative hypotheses. 2.3 Calculate the expected frequency corresponding to a Grade 3 academic with a high level of absenteeism. 2.4 Find the Chi-Square critical value and test statistic.…
A Deputy Registrar at a certainty university conducted a Chi-Square test of association to establish whether or not employee grade and level of absenteeism were associated. Table 2 below shows part of the results which were obtained. Table 2: Cross tabulation of employee grade and level of absenteeism Contingency Tables Grade LAbsence 1 2 3 Total low Observed 8 1 0 9 Expected 2.90 3.48 2.61 9.00 high Observed 2 11 9 22 Expected 7.10 8.52 6.39 22.00 Total Observed 10 12 9 31 Expected 10.00 12.00 9.00 31.00 2.2 State the null and alternative hypotheses.
A Deputy Registrar at a certainty university conducted a Chi-Square test of association to establish whether or not employee grade and level of absenteeism were associated. Table 2 below shows part of the results which were obtained. Table 2: Cross tabulation of employee grade and level of absenteeism Contingency Tables Grade LAbsence 1 2 3 Total low Observed 8 1 0 9 Expected 2.90 3.48 2.61 9.00 high Observed 2 11 9 22 Expected 7.10 8.52 6.39 22.00 Total Observed 10 12 9 31 Expected 10.00 12.00 9.00 31.00 2.3 Calculate the expected frequency corresponding to a Grade 3 academic with a high level of absenteeism.
A Deputy Registrar at a certainty university conducted a Chi-Square test of association to establish whether or not employee grade and level of absenteeism were associated. Table 2 below shows part of the results which were obtained. Table 2: Cross tabulation of employee grade and level of absenteeism Contingency Tables Grade LAbsence 1 2 3 Total low Observed 8 1 0 9 Expected 2.90 3.48 2.61 9.00 high Observed 2 11 9 22 Expected 7.10 8.52 6.39 22.00 Total Observed 10 12 9 31 Expected 10.00 12.00 9.00 31.00 2.4 Find the Chi-Square critical value and test statistic. Hence, conduct a Chi-Square test of association at 5% level of significance clearly stating your decision and conclusion.
A Deputy Registrar at a certainty university conducted a Chi-Square test of association to establish whether or not employee grade and level of absenteeism were associated. Table 2 below shows part of the results which were obtained. Table 2: Cross tabulation of employee grade and level of absenteeism Contingency Tables Grade LAbsence 1 2 3 Total low Observed 8 1 0 9 Expected 2.90 3.48 2.61 9.00 high Observed 2 11 9 22 Expected 7.10 8.52 6.39 22.00 Total Observed 10 12 9 31 Expected 10.00 12.00 9.00 31.00 2.1 State the appropriate measurement scales for the variables.
Statistics Based on information about computer damage due to: 20% carelessness of the operator, 40% fluctuations in electricity voltage, 15% virus and 25% due to high room temperature. To test the validity of the information, samples were taken from 150 damaged computers and it turned out that there were 30 damaged units due to operator carelessness, 55 units due to voltage fluctuations, 20 due to viruses and the rest were damaged due to the high temperature of the room. By using the significance level = 0.05, can the results of the observations justify the information above?
Traffic accidents occur frequently on the 100 km long E-5 highway connecting Konya and Karaman: Although expert teams affiliated to the General Directorate of Highways (KGM) say that the accidents on the E-5 are randomly (unevenly) distributed, the news media state the opposite. KGM has published the locations of 20 accidents resulting in death or injury in the past 12 months, showing the distances from Konya as follows: Use the Kolmogorov-Smirnov test to test whether the distribution of locations of accidents that occurred in the last 12 months is evenly distributed.
A local church has been experiencing steady growth in membership and wants to launch a membership drive. Before they begin, they would like to find out what types of people are most likely to attend services each week. A random sample of 15 existing members has been asked how many times they attended services over the past five weeks and for certain other information. Which independent variables have significant relationships with attendance? a. Attendance by education Less than Highschool High School College 0 1 0 1 3 3 2 3 4 3 4 4 4 5 4 b. Attendance by the length of residence in present community Less Than 2 Years 2-5 Years More Than 5 Years 0 0 1 1 2 3 3 3 3 4 4 4 4 5 4 c. Attendance by extent of television watching Little or None Moderate High 0 3 4 0 3 4 1 3 4 1 3 4 2 4 5 d. Attendance by number of children None One Child More Than One Child 0 2 0 1 3 3 1 4 4 3 4 4 3 4 5
b) The Energy Information Administration gathers data on residential energy consumption and expenditures and publishes its findings in Residential Energy Consumption Survey: Consumption and Expenditures. The independent simple random samples of households in the four U.S. regions yielded the data on last year’s energy consumptions are shown in Table 2. At the 5% significance level, do the data provide sufficient evidence to conclude that a difference exists in last year’s mean energy consumption by households among the four U.S. regions? Table 2: Last year’s energy consumptions for samples of households in the four U.S. regionsNortheast Midwest South West15 17 11 1010 12 7 1213 18 9 814 13 13 713 15 - 9- 12 - -
In Exercises 5–20, conduct the hypothesis test and provide the test statistic and the P-value and/or critical value, and state the conclusion. Bias in Clinical Trials? Researchers investigated the issue of race and equality of access to clinical trials. The following table shows the population distribution and the numbers of participants in clinical trials involving lung cancer (based on data from “Participation in Cancer Clinical Trials,” by Murthy, Krumholz, and Gross, Journal of the American Medical Association, Vol. 291, No. 22). Use a 0.01 significance level to test the claim that the distribution of clinical trial participants fits well with the population distribution. Is there a race/ethnic group that appears to be very underrepresented?
In 2002, NCHS reported that 75% of children age 2-17 saw a dentist in the past year. An investigator in Boston decided to assess the dental services for children in that area. A sample of 125 children age 2-17 were surveyed and 64 reported seeing a dentist. Assuming that the sample size is adequate, use the five-step hypothesis testing procedure to determine if there is a significant difference in the proportion of children living in Boston who use dental services as compared to the national proportion.