this is the plot using R software...
Hence the data does not appear to be approximately normally distributed because normal scores plot is roughly linear..(ans)
Clearly from the plot..
Note-if there is any understanding problem regarding this please feel free to ask via comment box...thank you
1. Use a normal-scores plot to see if the data are approximately normally distributed. 12, 14,...
Use a normal-scores plot to see if the data are approximately normally distributed. 12, 14, 18, 22, 25, 29, 31 The data ________ (does, does not) appear to be approximately normally distributed because the normal-scores plot ___________ (is, is not) roughly linear.
1. Use a normal-scores plot to see if the data are approximately normally distributed. 12, 14, 18, 22, 25, 29, 31 The data (does, does not) appear to be approximately normally distributed because the normal-scores plot (is, is not) roughly linear. 2. Random variable X and Y have a bivariate normal distribution. The conditional density of X given Y = y is a a. bivariate normal distribution b. chi-square distribution c. linear distribution d) normal distribution e. not necessarily any...
1. According to the empirical rule, in a normally distributed set of data, approximately what percent of the scores will be within 1 standard deviation (-1 to +1) away from the mean? 40% 95% 68% 75% 2. f you took an IQ test and your score was 2 standard deviations above average, assuming normal distribution, approximately what percent of all IQ test takers would your score be higher than? 98% 60% 70% 80% 3. if you took an IQ test...
Use the data from problem #1. Assume a probability normal probability plot suggest the data could come from a population that is normally distributed. A boxplot does not show outliers. Does the sample evidence suggest the cost of repairs to exceed $1200? (2 point) What type of test should we use? а. sample -test for the b. (4 points) Write the hypotheses and specify the type of test (tailing). Use appropriate notation for the hypotheses. Hypotheses: Tailing: Calculate (formula/values) the...