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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.

An article in Knee Surgery Sports Traumatology, Arthroscopy, "Effect of provider volume on resource utilization for surgical procedures," (2005, Vol. 13, pp. 273-279) showed a mean time of 113 minutes and a standard deviation of 10 minutes for ACL reconstruction surgery for high-volume hospitals (with more than 300 such surgeries per year). If a high- volume hospital needs to schedule 10 surgeries, what is the mean and variance of the total time to complete these surgeries? Assume the times of the surgeries are independent and normally distributed.

Effectiveness of Hypnotism in Reducing Pain. A study was conducted to measure the effectiveness of hypnotism in reducing pain. The measurements are in centimeters on a pain scale before and after hypnosis. Assume normality assumption is satisfied for this case. Use a 0.025significance level to test the the effectiveness of hypnotism in reducing pain. The two samples are dependent/matched. So you need to find the differences first, the calculated the mean and the standard deviation of the differences  D = 2.05, sD = 1.524. Before          8.9   3.3   7.6   9.6   10.6   8.3   7.3   7.2After            5.9   2.7   7.2   8.8    8.9   6.6   3.6   2.7Difference   3.0   0.6   0.4   0.8   1.7   1.7   3.7    4. a.  State the null and alternative hypotheses.    b.  List the correct critical value(s) and calculate the test statistic.   c.  What is your conclusion based on the test statistic and the critical value(s) obtained part (b)?

Differentiate - Parameter vs statistic

Krista wants to compare males and females on number of hours of physical activity done per week. If this is measured as a ratio variable, what test should Krista use to determine if males and females differ on number of hours of physical activity done per week? O chi-square test of independence O ANOVA O paired-samples t test O Independent samples t test

Mail X Gene × b Succe x YouTube M Gmail V Books ✰ nightingale.instructure.com/courses/3367087/assignments/33979308?module_item_id=76315289 Kinnser Software Mail - Hayley Murra... The data shown below consists of the price (in dollars) of 7 events at a local venue and the number of people who attended. Determine if there is significant negative linear correlation between ticket price and number of attendees. Use a significance level of 0.01 and round all values to 4 decimal places. Week X ← → C Account Dashboard Courses 28 Groups looo HEI Calendar 凸 Inbox H History R Studio Logi X M Inbox x 2022-2 Home Announcements Syllabus Modules Grades People Office 365 Secure Exam Proctor (Proctorio) Library Make Tuition Payment Accredible Class Notebook Unicheck Type here to search Bookshelf Ambassa... Ticket Price 6 10 14 18 22 26 30 34 Ho: p = 0 Ha: p < 0 Find the Linear Correlation Coefficient Find the p-value p-value = Attendence 152 141 147 143 138 138 131 132 The p-value is O Greater than a…

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.

The best depiction of a population characteristic is a(an): Dependent variable Statistic Independent variable Parameter

Please do not give solution in image format thanku Load "diabetes" datasets from SKlearn and do the PCA for n=3, and plot the data.   1. What is the variance (%) covered by the first 3 components? How is this percentage of variance computed?   2. Is there any correlation between these three components?   3. Apply t-SNE on the same dataset, select the first 3 components and plot them.   4. Report the comparison between the results obtained using t-SNE and PC

The data screening for the ANOVA involves:     examining the histogram for the independent variable     examining the scatterplot for the dependent variable     examining the histogram for the dependent variable     examining the scatterplot for the independent variable

Help with y= and cost.

A researcher wants to determine if there is a relationship between number of classes students are enrolled in (1,2,3,4,5,etcc.) and stress level scores (measured on a multi-item Likert scale). What type of statistical test should be used?  Group of answer choices Correlation Analysis Chi Square Dependent t-test Independent t-test ANOVA

Data in the following example are selected from a larger experiment on the use of drugs in the treatment of leprosy (Snedecor and Cochran 1967). Variables in the study are as follows: Drug two antibiotics (A and D) and a control (F) Pre-Treatment (X) a pretreatment score of leprosy bacilli Post-Treatment (Y) a posttreatment score of leprosy bacilli Ten patients are selected for each drug treatment, and six sites on each patient are measured for leprosy bacilli. The covariate (a pretreatment score) is included in the model for increased precision in determining the effect of drug treatments on the posttreatment count of bacilli. An Control E

Determine the critical r values and if the correlation is significant

Interpret this statistic. Why was gamma applicable here? Please show your work.

For the population of college students, the number of hours spent studying per week is normally distributed with a = 4.40 and = 2.32 hours. We surveyed a random sample of students majoring in psychology about the number of hours they spent studying this past week. The data is as follows:   6, 8, 9, 4, 3, 11, 4, 6, 5, 7   What is the dependent variable? What is the level of measurement of the dependent variable? 3. Is there a significant increase in the number of hours spent studying for our sample compared to the population of college students?  Perform a complete hypothesis test (z-test) using alpha = .01 level.  SHOW ALL WORK

Statistics students in Oxnard College sampled 9 textbooks in the Condor bookstore and recorded the number of pages in each textbook and its cost. The bivariate data are shown below: Number of Pages (x)251621529582722764268691436Cost(y) 251 35.6388.7383.7782.6699.86110.3253.8497.8374.68 a. A student calculates a linear model y=    x+    . (Please show your answers to two decimal places) b.Use the model to estimate the cost when number of pages is 207.Cost = $ (Please show your answer to 2 decimal places.)

Distinguish between a parameter and a statistic

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 = $ 1,077   X¯¯¯2X¯2 = $ 1,800   Sample Std. Dev. s1 = $ 693   s2 = $ 814   Repair Incidents n1 =   16   n2 =   13      Source: Unpublished study by Thomas W. Lauer and Floyd G. Willoughby. (a) Construct a 90 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 90% 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 = $ 1,153   X¯¯¯2X¯2 = $ 1,751   Sample Std. Dev. s1 = $ 663   s2 = $ 820   Repair Incidents n1 =   16   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 = $ 1,101 x¯2x¯2 = $ 1,766 Sample Standard Deviation s1 = $   696 s2 =   $ 838 Repair Incidents n1 =      12 n2 =       9  (a) Construct a 90 percent confidence interval for the true difference of the means assuming equal variances. (Round answers to 3 decimal places. Negative values should be indicated by a minus sign.) (b) Repeat part (a), using the assumption of unequal variances with Welch's formula for d.f. (Round answers to 2 decimal places. Negative values should be indicated by a minus sign.) (d) Construct separate…

Refer to the data in images.  Test for a significant difference in the variances of theinitial white blood cell count between patients who did andpatients who did not receive a bacterial culture.

Answer the blanks with red marks. To determine the test procedure and p value use image two

Identify the correlation coefficient r Identify the critical values