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(a) An analysis of access time to a computer disc system was made during the
running of a particular computer programme, which used disc file handling
facilities. The results of the 1290 access times were as follows:
Access time in milliseconds Frequency
30 but less than 35 - 17
35 but less than 40 - 24
40 but less than 45 --- 19
45 but less than 50 ---- 28
50 but less than 55 - 19
55 but less than 60 ---- 13
Required:
I. Determine the
II. Determine the standard deviation of the access time for this programme.
III. Interpret for your manager, who is not familiar with grouped data, what the results of parts (i) and (ii) mean.
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- Consider the following hypothetical pooled cross-sectional data of dailyCOVID-19 cases per 1,000 people during the early two months of the pandemic, fromMarch to April 2020 in Ohio and 5 other neighboring states. The variable Apriltakesvalue 1 if the recorded cases are from April 2020, and takes value 0 if the recorded casesare from March 2020. The variable lockdown takes value 1 if the state put in place aStay-at-home order beginning from March 2020, and takes value 0 otherwise. Using thedifference-in-differences estimator, assess the impact of the lockdown policy on dailyCOVID-19 cases.(a) The researcher is concerned that older persons may not be knowledgeable of the COFLU-20. As such, he is interested in investigating the association between the age of the respondents and their knowledge level. Table 2 below shows the knowledge level of respondents, by age group. Table 2 Age Group Knowledge Level Total Poor Satisfactory Good 18 - 25 33 16 13 62 26 - 34 30 18 12 60 35 - 44 29 14 12 55 45 - 54 36 16 18 70 55 - 75 17 14 22 53 Total 145 78 77 300 Conduct a test, at the 5% level of significance, to determine whether the data provided sufficient evidence to conclude that an association exists between age group and knowledge level. (i) State the hypotheses to be tested: H0: H1: Calculate: (ii) state the degrees of freedom for this test (iii)…a) The researcher is concerned that older persons may not be knowledgeable of the COFLU-20. As such, he is interested in investigating the association between the age of the respondents and their knowledge level. Table 2 below shows the knowledge level of respondents, by age group. Table 2 Age Group Knowledge Level Total Poor Satisfactory Good 18 - 25 33 16 13 62 26 - 34 30 18 12 60 35 - 44 29 14 12 55 45 - 54 36 16 18 70 55 - 75 17 14 22 53 Total 145 78 77 300 Conduct a test, at the 5% level of significance, to determine whether the data provided sufficient evidence to conclude that an association exists between age group and knowledge level. (i) State the hypotheses to be tested: H0: H1: Calculate: (ii) state the degrees of freedom for this test (iii)…
- The following data show a sample of Automatic Teller Machine (ATM) customers; time (seconds) to complete their transaction, estimated age, and gender (1= male, 0 = female). Time 76 70 76 42 66 57 53 67 81 76 70 75 73 72 Age 47 42 46 38 22 34 31 69 43 67 50 29 40 51 Gender 0 1 0 1 1 1 1 0 0 0 1 0 0 1 Test 3 problem 3C data file.xlsx Download Test 3 problem 3C data file.xlsx a. Determine the multiple regression equation for estimating transaction time based on age and gender of the customer. Enter the regression coefficients in xx.xxx format. Round the value to three decimals and use leading and trailing zero to exactly match the format. Include the negative sign (minus sign) if the coefficient is negative. Do not include plus sign in your response. For example, if the coefficient is +6.1563 then enter 06.156 as your answer, if the coefficient is -0.54765 then enter -00.548…The researcher is concerned that older persons may not be knowledgeable of the COFLU-20. As such, he is interested in investigating the association between the age of the respondents and their knowledge level. Table 2 below shows the knowledge level of respondents, by age group. Age Group Knowledge Level Total poor satisfactory good 18-25 33 16 13 62 26-34 30 18 12 60 35-44 29 14 12 55 45-54 36 16 18 70 55-75 17 14 22 53 Total 145 78 77 300 Conduct a test, at the 5% level of significance, to determine whether the data provided sufficient evidence to conclude that an association exists between age group and knowledge level. (i) State the hypotheses to be tested:H0:H1: Calculate:(ii) state the degrees of freedom for this test (iii) the p-value for this test, given that the chi-square test statistic, chi-squared , is 11.029. (iv) state the conclusion for the test. Give reason for your answer.Suppose the following table was generated from a sample of 2020 CEOs relating annual salary to years of experience and the industry in which they are employed. Indicator (dummy) variables were created for each industry (1 if the CEO works in that industry, 0 otherwise). The Manufacturing industry is considered the base-level industry. Coefficients Standard Error t Stat P-Value Intercept 136089.391879136089.391879 4059.2370454059.237045 33.52585533.525855 0.0000000.000000 Experience 3522.7465883522.746588 220.558598220.558598 15.97193015.971930 0.0000000.000000 Financial 8063.7816448063.781644 4891.6297224891.629722 1.6484861.648486 0.1200340.120034 Service −12825.673026−12825.673026 4997.6845794997.684579 −2.566323−2.566323 0.0214910.021491 Health Care 16309.98615216309.986152 5281.8143395281.814339 3.0879513.087951 0.0075000.007500 According to the results, if a CEO in the Manufacturing industry and a CEO in the Health Care industry both have 33 years of experience,…
- Suppose that a researcher is interested in the average standardized test score for fifth graders in a local school district. The fifth graders at a specific school would comprise a ___________ and their average test score would be a ___________.A study was done to determine if the time of day affected ther performance of a certain alegebra class. the same class was used in the experiment over a 6-day time span.Recent surveys have shown a decline in the percentage of U.S. households withcable TV. In one city, a simple random sample of 468 households had 117households reporting they had cable TV, and 351 households reporting they didnot.(a) Show the “plug-in” box to represent our best guess for the relative frequency ofpeople with and without cable. (Let 1 correspond to with cable and 0 without).(b) The percentage of households in the city with cable TV is estimated to be___________%, and this estimate is likely to be off by about ___________% or so.(c) A 90%-confidence interval for the percentage of households in the city withcable TV goes from ___________% to ___________%.
- Suppose the following table was generated from a sample of 2020 CEOs relating annual salary to years of experience and the industry in which they are employed. Indicator (dummy) variables were created for each industry (1 if the CEO works in that industry, 0 otherwise). The Financial industry is considered the base-level industry. Coefficients Standard Error t Stat P-Value Intercept 137193.448002137193.448002 6407.1621946407.162194 21.41251421.412514 0.0000000.000000 Experience 3007.5678003007.567800 247.058728247.058728 12.17349312.173493 0.0000000.000000 Health Care 11661.96750111661.967501 6818.1047396818.104739 1.7104411.710441 0.1077810.107781 Service −17452.317038−17452.317038 6656.6626316656.662631 −2.621782−2.621782 0.0192450.019245 Manufacturing 27645.00035227645.000352 6840.2705206840.270520 4.0415074.041507 0.0010660.001066 Copy Data According to the results, if a CEO in the Financial industry and a CEO in the Service industry both have 2020…In 2010, Seery, Holman, & Silver found that individuals with some history of adversity report better mental health and well-being compared to people with little to no history of adversity. In an attempt to examine this phenomenon, a researcher surveys a group of college students to determine the negative life events they experienced in the last 5 years and their current feeling of well-being. Participants: With 5-10 negative experiences With 2 or fewer negative experiences n=7 n=7 Well-being score of M=48 Well-being score of M=41 SS=325 SS=347 1. State the hypotheses both experimental and statistical 2. Do the results indicate significantly different reports of Well-being? Use a two-tailed test with a=.05. Please show work and state your decision regarding the H0. 3. Compute the estimated Cohen's d to measure the size of the effect. State…Suppose the following table was generated from a sample of 2020 CEOs relating annual salary to years of experience and the industry in which they are employed. Indicator (dummy) variables were created for each industry (1 if the CEO works in that industry, 0 otherwise). The Financial industry is considered the base-level industry. Coefficients Standard Error t Stat P-Value Intercept 146764.182525146764.182525 4444.7308874444.730887 33.01981333.019813 0.0000000.000000 Experience 3092.1835033092.183503 221.155524221.155524 13.98194113.981941 0.0000000.000000 Service 8404.3798898404.379889 4753.9693564753.969356 1.7678661.767866 0.0974120.097412 Health Care −17859.350459−17859.350459 4768.1459284768.145928 −3.745555−3.745555 0.0019490.001949 Manufacturing 4332.7956954332.795695 4654.1548254654.154825 0.9309520.930952 0.3666200.366620 According to the results, if a CEO in the Financial industry and a CEO in the Manufacturing industry both have 22 years of experience, what…
