IHP 340 Module Six Worksheet (1) - Copy

Which MS Excel Tool shall be used with this problem? Dr. Hess has done work that suggests that emotional arousal affects pupil size. To ascertain if the type of arousal makes a difference, you decided to measure pupil size under three different arousal conditions (Neutral, Pleasant, Aversive). Each participant will look at all the different pictures that differ according to the condition. The pupil size after viewing each photograph is measured in millimeters. * ANOVA Single Factor ANOVA Two Factor Without Replication ANOVA Two Factor With Replication A researcher wants to examine driving performance under three telephone conditions namely: a) No Phone, b) Hand-Held, and c) Hands- Free. If he wants to measure the differences between sample means, we will calculate the variance: * both A and B between treatments within-treatments None of the above

indicator for gender (=1 if male, =0 if female). Your data set has 200 observations. donation = 1.57 + 0.12age + 0.08age? – 0.43 gender + 0.07(gender * age), R? = 0.33 (0.15)* (0.67) (0.11) (0.01) (0.06) donation = 1.59 (0.68) 0.46 gender, R² = 0.30 (0.17) 1. Assuming homoscedastic errors, test the hypothesis that age affects charitable donations at the 5% level. 2. Interpret the coefficient on gender interacted with age. 3. How would you test that the difference in giving between men and women is independent of age? If you can run the test, run it. If you cannot, explain what you need.

Identify the category of data, type of quantitative data* and scale of measurement of the given variables. (*please answer NOT APPLICABLE if your answer is qualitative)   Variable Category of Data Type of Quantitative Scale of Measurement Anemia Status 11. 14. 17. Socioeconomic Status 12. 15. 18. Educational Attainment 13. 16. 19.       Identify the type of code appropriate for the given variable: Age group Blood type Eye color Home address Use of drug

Make a similarity and differences of statistic and parameter using venn diagram

The Data The dataset "energy" is a random sample of 56 cases from “Existing Buildings Energy Performance Ordinance Report” from the City of San Francisco Open Data Portal. There are 2,629 cases in the dataset. Citation: SFEBO Help Desk.(Last updated 11/13/2020). Existing Buildings Energy Performance Ordinance Report [data file]. Provided by SF Environment. (Retrieved 11/29/2020). https://data.sfgov.org/Energy-and-Environment/Existing-Buildings-Energy-Performance-Ordinance-Re/j2j3-acqj There are 57 cases. Each case is a building in San Francisco that must be benchmarked using Energy Star Portfolio Manager annually. There are 6 variables: parcel - the parcel number building - the building name postal_code - the postal code year_built - the year the building was built energy_score19 - the ENERGY STAR score for 2019; 1 - 100, where 50 is the national median score, and 100 is best energy performance. energy_score18 - the ENERGY STAR score for 2018 energy.csv download…

A child care center wants to determine if there is a relationship between how long a child naps in minutes (20,21,22,23,24,etc.,etc) and incidents of aggression (1,2,3,4,etc.,etc). What type of statistical test should be used?  Group of answer choices Chi Square Independent t-test Dependent t-test ANOVA Correlation Analysis

Compare risk factors in men and women using excel spreadsheet Complete the following table to compare men and women using data collected at the first examination for each participant (n = 4434). Summarize your results in three to four sentences. Patient Characteristic* Men (n = 1944) Women (n = 2490) Age, years 49.79 (8.72) 50.03(8.64) Systolic blood pressure, mmHg 131.74 (19.44) 133.82(8,64) Hypertension 83.71(11.44) 82.60 (12.50) Use of anti-hypertensive medication 42 (2.19) 102 (4.16) Current smoker 1175 (60.44) 1006 (40.4) Total serum cholesterol, mg/dL 233.58 (4236) 239.68 (46.22) Serum Glucose 82.32 (24.72) 82.07 (24.14) Stroke 193 (9.3) 222 (8.92) * Mean (Standard deviation) or n (%)

the test result of SPSS below are of a analysis between two countries. determine the difference between the two countries in terms of temperature change and interpret them

Pls explain briefly the necessity and benefit of collecting data and using statistical methods in production processes. Pls list types of data collected and analyses implemented (graphics followed) with their reason.

The number of awards earned by students at one high school is recorded. Predictors of the number of awards earned include the type of program in which the student was enrolled (e.g., vocational, general or academic) and the score on their final exam in math. Below is a description of the variables and their levels of measurement  Variables  Student ID - NOMINAL Math Scores - RATIO  Total # of awards - DISCRETE Program Type - NOMINAL (categorical with three levels: (1)general, (2)academic, (3)vocational)   Total Students= 200 Total Awards = 194 Total math scores = 10529 Program Type sum = 405 Summarize in words the frequency distribution for the program type variable.

Do the data indicate a significant change in grade distribution? Test at the .05 level of significance. Use Chi-square

A special bumper was installed on selected vehicles in a large fleet. The dollar cost of body repairs was recorded for all vehicles that were involved in accidents over a 1-year period. Those with the special bumper are the test group and the other vehicles are the control group, shown below. Each "repair incident" is defined as an invoice (which might include more than one separate type of damage).  Statistic Test Group Control Group   Mean Damage X⎯⎯⎯1X¯1 = $ 1,245   X⎯⎯⎯2X¯2 = $ 1,790   Sample Std. Dev. s1 = $ 721   s2 = $ 835   Repair Incidents n1 =   17   n2 =   14      Source: Unpublished study by Thomas W. Lauer and Floyd G. Willoughby. (a) Construct a 99 percent confidence interval for the true difference of the means assuming equal variances. (Round your final answers to 3 decimal places. Negative values should be indicated by a minus sign.) The 99% confidence interval is from  to  (b) Repeat part (a), using the assumption of unequal variances with Welch's…

A special bumper was installed on selected vehicles in a large fleet. The dollar cost of body repairs was recorded for all vehicles that were involved in accidents over a 1-year period. Those with the special bumper are the test group and the other vehicles are the control group, shown below. Each "repair incident" is defined as an invoice (which might include more than one separate type of damage).  Statistic Test Group Control Group   Mean Damage X⎯⎯⎯1X¯1 = $ 1,188   X⎯⎯⎯2X¯2 = $ 1,792   Sample Std. Dev. s1 = $ 712   s2 = $ 800   Repair Incidents n1 =   16   n2 =   14      Source: Unpublished study by Thomas W. Lauer and Floyd G. Willoughby. (a) Construct a 95 percent confidence interval for the true difference of the means assuming equal variances. (Round your final answers to 3 decimal places. Negative values should be indicated by a minus sign.) The 95% confidence interval is from  to  (b) Repeat part (a), using the assumption of unequal variances with Welch's…