The rows of data set represent observations true of false

Researchers want to know which food chain makes people the happiest. Researchers randomly assign participants to eat at either Chipotle, Qdoba, or California Tortilla for lunch every day for one week. At the end of the week, researchers measured the participants' happiness levels. Chipotle Qdoba California Tortilla 86 68 80 89 62 72 97 87 78 79 67 68 81 76 89 What is the mean squares between (S,)? Please compute to 4 decimal places.

The table shows the distance from the equator (in miles) and the average annual snowfall (in inches) for each of eight selected cities. a. Write this paired data as a set of ordered pairs of the form (distance from equator, average annual snowfall). Distance from What is the ordered pair that corresponds to the first row of data given in Average Annua. 4owfall (in inches) City Equator (in miles) 2443 the table? 14 || (Type an ordered pair.) 2439 2488 2530 2550 2570 2409 13 23 25 E 27 29 G 12 2473 17 ABC

find the value of x if the numbers 7, x, 3, 9, 2 have a mean of 5.8

If another variable systematically co-varies with the independent variable, then we likely have an extraneous variable b. a dependent variable an ex post facto design a confounding variable

Suppose we have a dataset containing 50 rows, one row for each state. The population of each state, measuredin millions of people, is a variable in that data set. Below is a histogram for the population data.   I have attached the bar graph- I am havinng trouble discerning which axis is the state and which axid is the population count? theres only 14 on one axis and 44 on the other.  Doesn't make sense for a state to have a zero population.  Can you tell which is which? a) What proportion of states have a population between 6 and 10 million? what is the mean population?  what is the median population?

In a study, the data you collect is faculty rank (instructor, assistant professor, associate professor, full professor).What type of data is this? Qualitative (Categorical) Quantitative - Discrete Quantitative - Continuous

iris is a built-in R data set (data frame). This data set contains gives the measurements in centimeters of the variables sepal length and width and petal length and width, respectively, for 50 flowers from each of 3 species of iris. The species are Iris setosa, versicolor, and virginica. We are interested in some descriptive statistics related to the Sepal.Width column of the data frame. We can access the data directly by using the assignment x <- iris$Sepal.Width (In R use ?iris for info on this dataset.)Remember: x <- iris$Sepal.Widtha.Calculate the sample median of x. b. Using the R quantile function, find the .80 quantile of x.(80th percentile) c. Calculate the interquartile range of x using R. d. Calculate the sample mean of x. e. Calculate a 4% trimmed mean for x. f. Calculate the sample variance of x. g. Calculate the sample standard deviation of x. h. What proportion of the x values are within 2.0 sample standard deviations from the sample mean i. Calculate the minimum…

Which statement below is true? Oit is possible for a distribution of scores to have two means. OIt is possible for a distribution of scores to have two means or two medians Yitis possible for a distribution of scores to have two modes, It is possible for a distribution of scores to have two medians or two modes

Which of these statements is not a condition for an exposure to quality as a risk factor?   There is a dose-response relationship   There is temporality of the exposure and the disease in terms of occurrence   The observed relationship between exposure and the disease in not due to some source of error in the design   The observed relationship between exposure and the disease is due to due to some source of error in the design.