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Sip size.
Researchers in Cornell University s Food Sciences department study how people experience foods. One study considered how much liquid people typically take into their mouths in one "sip" (in milliliters). The researchers also recorded the height (meters) and weight (kilograms) of the participants. Here are histograms of three of the variables from that study:
a) For which of the variables depicted in the histograms would you be most satisfied to summarize the center with a mean? Explain.
b) For which of the variables depicted in the histograms would you most strenuously insist on using an IQR rather than a standard deviation to summarize spread? Explain.
Find the slope and vertical axis intercept of the linear function
Make a his-togram of the distribution of these 31 scores. Does your plot show outliers, clear skewness, or other non- Normal features? Using a calculator, find the mean and standard deviation of these scores.
a student randomly guesses the answers to six questions truefalse quiz. if there is a 50 chance of guessing correctly
School is about to begin. The janitor has all the lockers closed. All 1000 of them.
a normally distributed random variable y has std dev. 800. a random sample of 100 observations was taken from y and
1 the speeds of car traveling on interstate highway i-35 are normally distributed with a mean of 74 miles per hour and
Calculate p-value of F test for Given Dataset
Critically discuss the assumptions, if any, regarding a Chi-square test? What are the assumptions to apply linear regression?
Do this exercise using IBM® SPSS® software, and report the exact probability of the outcome. Copy and paste the output from IBM® SPSS® into this worksheet.
Calculate the mean, median, mode, variance, and standard deviation for the numeric data and construct a histogram, pie, or Stem-Leaf Display chart encompassing the mean leadership scores for both male and female managers.
it is claimed that in a bushel of peaches less than ten percent are defective. a sample of 400 peaches is examined and
If the sum of squares regression is 1,000 and the sum of squares total is 5,000. Given that the sum of squares residual (or error) is 4,000 what is the r-squared value?
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