he given numerical summary describe the distribution of Weekly Rent for each of the following postcodes: 2000 (Sydney), 2017 (Waterloo), 2145 (Westmead), 2150 (Parramatta), and 2170 (Liverpool). Perform a suitable hypothesis test at 5% significance level. And find, is there a difference in weekly rent among five different postcodes?

Given the following list of data, what is the five-number summary?110, 111, 140, 190, 199, 204, 238, 270, 279, 310, 320 Select the correct answer below:   Min Q1 Median Q3 Max 100 140 204 279 350   Min Q1 Median Q3 Max 110 111 204 279 300   Min Q1 Median Q3 Max 110 140 204 279 320

An auditor for a local court system is tasked with comparing the rulings of two judges. The auditor needs to determine if Judge Hughes issues shorter sentences than Judge Wilson. The data below are the sentence lengths, in months, issued by each judge in their last twelve cases that dealt with operating a motor vehicle without a license. Test the claim that Judge Hughes issues shorter sentences than Judge Wilson for this particular type of case at the 0.05 level of significance. Let Judge Hughes' sentences be Population 1 and let Judge Wilson's sentences be Population 2. Assume that both populations are approximately normal and that the population variances are equal. Judge 24 12 12 30 36 30 12 18 24 12 24 30 Hughes Judge Wilson 36 36 24 24 24 24 18 12 30 24 18 30 Step 3 of 3: Draw a conclusion and interpret the decision. Copy Data

What is a Type I error in this​ problem?     A. A Type I error would be to conclude that the true mean level of support for sustainability is not 66 ​when, in​ fact, the mean is equal to 66.   B. A Type I error would be to conclude that the sample mean level of support for sustainability is greater than 66 ​when, in​ fact, the sample mean is less than 66.   C. A Type I error would be to conclude that the true mean level of support for sustainability is 66 ​when, in​ fact, the mean is not equal to 66.   D. A Type I error would be to conclude that the sample mean level of support for sustainability is less than 66 ​when, in​ fact, the sample mean is greater than 66.

The questions below are based on a dataset containing the characteristics of 5,407households. In particular, we will use the following variables:- size: home size, measured in square feet.- hhinc: annual household net income, measured in euros.- owner: dummy variable equal to 1 if the living space is owned, and 0 if the livingspace is rented.- hhsize1: dummy variable equal to 1 if the number of household’s members is 1 or2, and 0 otherwise.- hhsize2: dummy variable equal to 1 if the number of household’s members is 3 or4, and 0 otherwise.- hhsize3: dummy variable equal to 1 if the number of household’s members is 5 orabove 5, and 0 otherwise.- edu: education level of household’s members. We conduct a simple regression of size on hhinc, now using robust standard errors.The regression output is reported in Table 2. Why are the estimated coefficients inTable 2 equal to the estimated coefficients in Table 1? Do the conclusions on thestatistical significance at 5% of the coefficient of…