method improves the score method has outlier method has the highest variability method has skewed distribution method has lowest IQR Boxplot of Scare
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- Percentage variance and turkey HSDork Question Part 1 of 5 Cans of soda vary slightly in weight. Given below are the measured weights of seven cans, in pounds. Find the mean and median of these weights. Which, if any, of these weights would be considered an outlier? What are the mean and median weights if the outlier is excluded? 0.8161 0.8194 0.8165 0.8174 0.7903 0.8141 0.8127 Find the mean and median of the weights. The mean is (Round to five decimal places as needed.) PA middle school teacher believes that a reading rewards program results in a higher number of pages read per year after the program is completed. The teacher chooses a simple random sample of students and records the number of pages read per year before starting the program and after the program is completed. The results of the study are below. What are the population parameters? Pick Mean Variance Observations Hypothesized Mean Difference df t Stat P(T<=t) one-tail t Critical one-tail P(T<=t) two-tail t Critical two-tail Confidence Level Before 813.25 192250.25 182875.22 100 100 0 198 1.497 0.068 1.653 0.136 1.972 95% After 904.95 What is the level of significance? Ex: 0.12 Is the two-sample hypothesis test a paired or unpaired t-test? Pick The null hypothesis is Ho: after Pick The alternative hypothesis is Ha : Mafter Pick Should Ho be rejected or does Ho fail to be rejected? Pick What conclusion can be drawn from the data? Pick Mbefore before ✓evidence exists to support the claim…
- FREE RESPONSE 1. The table below summarizes combined city/highway fuel econ- y for new cars classified as "large" models. 11. N MEAN STDEV SEMEAN TRMEAN MIN Q1 MEDIAN Q3 MAX 0.417 65 19.6 3.36 19.5 14 17 19 21 28 a) What do the summary statistics suggest about the overall shape of the distribution? Explain. b) Are there any outliers in the data? Explain how you deter- mined this. c) In advertising for its own vehicle, a competitor described one large car that gets 17 mpg as exceptionally gas-thirsty. Based on the summary statistics above, comment on that characterization. 4. The requ hea sur on of aContingency table analysis (test of independence)Each home sold by Lakeland Homes can be classified according to the price level andto the style. The management would like to determine if the price of the home and thestyle of the home are independent variables. With the observed data given in thefollowing table and with a significance level of of = 0.05, conduct a formalhypothesis test to help the management in decision making process.Price Level Colonial Log Split A Frame <= $100,000 18 6 19 12 > $100,000 12 14 16 3Which is NOT an example of statistical bias? Response Bias Observer Effect Recall Bias Placebo Effect
- 4, 8, 6, 10, 8, 5,9,1,9 A. What is mean of sam's scores B What is the median of sam's Scores e what is the mode of sam's Scores P what is the range of sam's scores E What is The Sample Standard ard deviation Scores's of Sam's F which measure (s) of central tendency isare) affected by the outlier in the data mean, median mode а B mean, median c mean D medianANOVA How to write hypotheses for ANOVA How is variance parted in ANOVA? Between WithinStatistic Characteristic: The median is not affected by unusual values (e.g. outliers). As such, it is referred to as a __________ statistic. A. Resilient B. Resistant C. Recurring D. Reticent E. Repicating F. Reliant G. Redundant H. Regressive
- Even if a treatment has an effect, it is still possible to obtain a sample mean after the treatment that is very similar to the original population mean. Which outcome is likely if this happens? Group of answer choices reject H0 and make a Type I error correctly reject H0 fail to reject H0 and make a Type II error correctly fail to reject H03.Which model do you think is the “best” reduced model? Discuss why you choose this model. Analysis of Variance Table (Step back model) Response: rent Df Sum Sq Mean Sq F value Pr(>F) age 1 21000 21000 17.1136 0.0003079 *** sqft 1 35364 35364 28.8196 1.134e-05 *** sd 1 5961 5961 4.8576 0.0362339 * unts 1 8678 8678 7.0722 0.0130049 * gar 1 33364 33364 27.1899 1.713e-05 *** cp 1 7641 7641 6.2269 0.0189934 * Residuals 27 33131 1227 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 Step forward model: Response: rent Df Sum Sq Mean Sq F value Pr(>F) age 1 21000 21000 16.6255 0.000406 *** sqft 1 35364 35364 27.9976 1.757e-05 *** sd 1 5961 5961 4.7191 0.039517 * unts 1 8678 8678 6.8705 0.014697 * gar 1 33364 33364 26.4144 2.599e-05 *** cp 1 7641 7641 6.0493 0.021176 *…Sample(Prefers) 7. 6 5 3. 2. -1 -0.5 0 0.5 1.5 Sample(IAT-Weight-Score) A. Do the boxplots suggest that the samples come from populations with different means? Briefly explain.
