A researcher conducts an experiment comparing four treatment conditions with a separate sample of n=6 in each treatment. An ANOVA is used to evaluate the data, and the results of the ANOVA are presented in the following table. Complete all missing values in the tables. (Hint: Begins with the values in the df column.                        Source SS df MS   Between treatments ___ ___ ___ F =___ Within treatments ___ ___ 2   Total 58 ___

The following set of data represents the number of orders filled by a national-chain restaurant during a two week period. Construct a five number summary for the the data.   66, 75, 68, 89, 86, 73, 67, 75, 75, 82, 85, 74, 67, 61 (Round to the nearest hundredth, if needed).    Min _________________ Lower Quartile _________________ Median __________________ Upper Quartile _________________ Maximum __________________   What is the range and the interquartile range (IQR)?  Range __________________ Interquartile Range (IQR)  ___________________

Pain medications sometimes come with side effects.  One side effect is dizziness.  A researcher wanted to determine if some pain medications produced more or less dizziness than others.  The results from his study are shown in the table below. Use a test to determine if the proportion of people within each treatment group  who experienced dizziness are the same at the � = .01 level of significance.   Tordol Placebo Naproxen Tylenol Advil Dizziness 83 32 36 5 8 No dizziness 4063 1832 1330 382 337 1) Determine the null and alternative hypotheses. Select the correct pair.   ��:The proportion of people within each treatment group  who experienced dizziness are independent��: The proportion of people within each treatment group  who experienced dizziness are dependent ��: The proportion of people within each treatment group  who experienced dizziness are the same��: The proportion of people within each treatment group  who experienced dizziness are different   2) Determine the…

(c) Determine if the means of samples 1 and 2​ overestimate, underestimate, or are equal to the population mean.   The mean pulse rate of sample 1 the population mean. The mean pulse rate of sample 2 the population mean.

Consider the following table. Compare the mean, median, and mode of all of the exam scores with the mean, median, and mode of the exam scores removing the one score of zero. Which measure of average is most affected by eliminating the score of zero?   Mean Median Mode Exam scores including score of zero 58.6 80 80 Exam scores without the score of zero 81.7 81 80

A 0.4 B 8 C 0.2 D 6

How do I interpret the 6 characteristics whith the data given?   Column Mean Median Range Variance Std. dev. 1 - Cholesterol 253.92857 268 218 2276.291 47.710492

Answer and show complete solution. Pls don't rejectIn a study on the settlement of piles used in building foundations, data on the observed pile settlement were collected and compared with the calculated/estimated values. The ratio of the observed to the calculated settlements is a measure of the accuracy of the calculation method. The ratios are shown in the table below and as can be observed, it shows considerable variability: Ratios of Observed Settlement to Calculated Settlement of Piles 0.12 0.97 0.86 1.14 0.94 2.37 0.88 0.92 1.01 0.99 1.02 1.04 0.99 0.87 0.52 0.94 1.06 1.38 1.04 1.18 1 0.86 0.82 0.84 1.09 a. Assuming that the ratio is a normal random variable, construct a probability plot and observe if the data points follow a linear trend.

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Q1]. [30%] The data for this question given in the table below come from the sample data folder of MINITAB. The data give you the monthly number of people employed (in units of 1000) in the retail trade industry in the state of Wisconsin from January 1970 to December 1974. Copy this timeseries data into an excel spreadsheet in your home area first before you start your analysis. You can use Excel to answer this question. Month 1970 1971 1972 1973 1974 1 322 322 330 348 361 2 317 318 326 345 354 3 319 320 329 349 357 4 323 326 337 355 367 5 327 332 345 362 376 6 328 334 350 367 381 7 325 335 351 366 381 8 326 336 354 370 383 9 330 335 355 371 384 10 334 338 357 375 387 11 337 342 362 380 392 12 341 348 368 385 396 (a) (b) (c) (d) Draw a time series plot of the data and comment on any noticeable patterns. Describe an appropriate time series model for this data, giving your reasons, and obtain estimates of the components of your model using the decomposition method. Using your model…