score, very unlikely score. c. It is a little above average d. It is an average, represe

Shaded diagram.. 3. The random variable X has a normal distribution with mean 80 and standard deviation 6. Choose random samples of size 40 from this distribution. Let X be the random variable of sample means. (5) a. What is the distribution of X ? (5) b. What is the mean of X ? y

Previous Question Researchers measured the data speeds for a particular smartphone carier at 50 airports. The highest speed measured was T76 Mbps. The complete list of 50 data speeds has a mean of x 17.47 Mbps and a standard deviation of s 32.99 Mbps. a. What is the dilference between camer's highest data speed and the mean of all 50 data speeds? b. How many standard deviations is that (the difference found in part (a)? c Convert the camer's highest data speed to az score. d. If we consider data speeds that convert to z scores between-2 and 2 to be neither significantly low nor significantly high, is the camier's highest data speed significant? a. The difference is Mbps (Type an integer or a decimal Do not round) b. The dilference is standard deviations (Round to two decimal places as needed.) c The z score is z (Round to two decimal places as needed.) d. The camer's highest data speed is

The mean is 146 and the standard deviation is 35. A score of 41 is how many z-scores below the mean?

Please answer B, C, & D.

In a normal curve, the percentage of the scores between one and two standard deviations above the mean is approximately __________.   Select one: a. 14% b. 50% c. It is impossible to tell. d. 2% Clear my choice

A sample of n = 6 scores has a mean of M = 5. One person with a score of X= 12 is added to the distribution. What is the mean for the new set of scores? O M= 8

Which of the following is True about the Z-score of an observation? A. The Z-score of an observation is defined as the number of standard deviations from the mean. B. If the observation is twice as large as the mean, its Z-score is 1. C. The Z-score of an observation is a number between 0 and 1. D. If the observation is right at the mean, its Z-score is 1.

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Refer to the data set in the accompanying table. Assume that the paired sample data is a simple random sample and the differences have a distribution that is approximately normal. Use a significance level of 0.05 to test for a difference between the weights of discarded paper​ (in pounds) and weights of discarded plastic​ (in pounds).   LOADING... Click the icon to view the data. In this​ example, μd is the mean value of the differences d for the population of all pairs of​ data, where each individual difference d is defined as the weight of discarded paper minus the weight of discarded plastic for a household. What are the null and alternative hypotheses for the hypothesis​ test?     A. H0​: μd≠0 H1​: μd>0   B. H0​: μd=0 H1​: μd<0   C. H0​: μd=0 H1​: μd≠0   D. H0​: μd≠0 H1​:  μd=0     Household Paper Plastic   1   6.44   8.40     2   7.72   3.86     3   3.27   0.63     4   9.19   3.74     5   14.33   6.43     6   11.08   12.47     7…