In the previous problem, we investigated Kimberly-Clark Corporation's assertion that the company should put 60 tissues in a cold-care box of Kleenex tissues. Another approach to the problem is to consider the proportion of Kleenex users who use fewer than 60 tissues when they have a cold. Now the population parameter of interest is p, the proportion of all Kleenex users who use fewer than 60 tissues when they have a cold. Kimberly-Clark Corporation's belief that the company should put 60 tissues in a cold-care box will be supported if the median number of tissues used is 60. Now, if the true median is, in fact, 60, then half of the Kleenex users will use less than 60 tissues (i.e., p = 0.5). Is there evidence to indicate that the population proportion differs from 0.5? We will select a = 0.05 as the level of signicance for the test. Recall that the survey results for the 250 sampled Kleenex users are stored in the tissues.txt data file. In addition to the number of tissues used by each person, the file contains a qualitative variable - called USED60 - representing whether the person used fewer or more than 60 tissues. (The values of USED60 in the data set are BELOW=0 or ABOVE=1.) The appropriate null and alternative hypotheses, Ho and Ha, for pare O Ho: p=0.5 vs Ha: p > 0.5 O Ho: p=0.5 vs Ha: p = 0.5 O Ho: p=0.5 vs Ha: p < 0.5

please help!! Weather: Weather data for Hamilton January 2020 Research question: The average temperature of Hamilton in January 2020 was less than 32°F (0°C). The data is available at Weather in Hamilton in January 2020 (Ontario) - Detailed Weather Forecast for a Month (world-weather. info)   A) Please, with these statistical data up there, help me apply as many calculations and rates as necessary to collect as much information as possible on this subject. Find some information that I could apply and explain on this subject. With calculations too.   you will be helping me alot filling the infos that I need.

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The table describes the height of a weather balloon, in meters, minutes after its launch. Time (minutes) Height (meters) 0 60 1 68.2 2 74.3 3 80.9 4 89.7 8 128.5 Select which equation best models the data. O O O O y = 8.52 +58 y = 8.2x + 60 y = 11.4x +57 y = 11.8x + 54

Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported as y = 30.42x + 81.82 and the r = 0.9. What percentage of the variation in y can be explained by the variation in the values of x? r2 = % (Report exact answer, and do not enter the % sign)

Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported as y = 85.15x + 76.68 and the r = 0.19. What percentage of the variation in y can be explained by the variation in the values of x? % (Report exact answer, and do not enter the % sign) r² =

Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported asy=−71.12x+92.48y=-71.12x+92.48and the r=−0.571r=-0.571.What proportion of the variation in y can be explained by the variation in the values of x?r² = %Report answer as a percentage accurate to one decimal place.

Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported as y=16.02x+83.71and the r=0.845 What proportion of the variation in y can be explained by the variation in the values of x? r² = Report answer as a percentage accurate to one decimal place.

Using the data in the Excel spreadsheet "auto.xlsx", estimate a regression to answer the following question. A 1 inch increase in LENGTH corresponds to a _________________ increase in MPG (miles per gallon). Use negative values if it results in a decreased price. Round your answers to two decimals. make price mpg rep78 headroom trunk weight length turn displacement gear_ratio foreign AMC Concord 4,099 22 3 3 11 2,930 186 40 121 3.58 Domestic AMC Pacer 4,749 17 3 3 11 3,350 173 40 258 2.53 Domestic AMC Spirit 3,799 22   3 12 2,640 168 35 121 3.08 Domestic Buick Century 4,816 20 3 5 16 3,250 196 40 196 2.93 Domestic Buick Electra 7,827 15 4 4 20 4,080 222 43 350 2.41 Domestic Buick LeSabre 5,788 18 3 4 21 3,670 218 43 231 2.73 Domestic Buick Opel 4,453 26   3 10 2,230 170 34 304 2.87 Domestic Buick Regal 5,189 20 3 2 16 3,280 200 42 196 2.93 Domestic Buick Riviera 10,372 16 3 4 17 3,880 207 43 231 2.93 Domestic Buick Skylark 4,082 19 3 4 13 3,400 200 42 231…

[STATISTICS] How do you solve this? Data set: https://docs.google.com/document/d/18i0t_5Epc5KbGW5X659fLQID0zEOSIZIFMOIgHqEuos/edit?usp=sharing