To Explain:the report about all of these growth rates.

Yulia
2021-02-09
Answered

To Explain:the report about all of these growth rates.

You can still ask an expert for help

Nola Robson

Answered 2021-02-10
Author has **94** answers

The distribution is skewed to right and has an outlier so median shows the data correctly. Las Vegas job growth is significantly larger than any other city. Spread of the correctly represents by IQR. Almost 20 states have scores between 240 and 244. One of the state has scores less than 225.

asked 2020-11-17

The tallest person who ever lived was approximately 8 feet 11 inches tall.

a) Write an inequality that represents the heights of every other person who has ever lived.

b) Is 9 feet a solution of the inequality? Explain

a) Write an inequality that represents the heights of every other person who has ever lived.

b) Is 9 feet a solution of the inequality? Explain

asked 2022-04-24

Given the set: {$\frac{3}{2},\frac{1}{2},-\frac{5}{4},x,-\frac{9}{2}$ }, for what x would the mean of the set be -1?

asked 2022-05-09

Let $\mathcal{X}$ be a sample space, $T$ a test statistic and $G$ be a finite group of transformations (with M elements) from $\mathcal{X}$ onto itself. Under the null-hypothesis the distribution of the random variable $X$ is invariant under the transformations in $G$. Let

$\hat{p}=\frac{1}{M}\sum _{g\in G}{I}_{\{T(gX)\ge T(X)\}}.$

Show that $P(\hat{p}\le u)\le u$ for $0\le u\le 1$ under the null hypothesis

$\hat{p}=\frac{1}{M}\sum _{g\in G}{I}_{\{T(gX)\ge T(X)\}}.$

Show that $P(\hat{p}\le u)\le u$ for $0\le u\le 1$ under the null hypothesis

asked 2020-11-08

Testing for a Linear Correlation. In Exercises 13–28, construct a scatterplot, and find the value of the linear correlation coefficient r. Also find the P-value or the critical values of r from Table A-6. Use a significance level of $\alpha =0.05$ . Determine whether there is sufficient evidence to support a claim of a linear correlation between the two variables. (Save your work because the same data sets will be used in Section 10-2 exercises.)
Lemons and Car Crashes Listed below are annual data for various years. The data are weights (metric tons) of lemons imported from Mexico and U.S. car crash fatality rates per 100,000 population [based on data from “The Trouble with QSAR (or How I Learned to Stop Worrying and Embrace Fallacy),” by Stephen Johnson, Journal of Chemical Information and Modeling, Vol. 48, No. 1]. Is there sufficient evidence to conclude that there is a linear correlation between weights of lemon imports from Mexico and U.S. car fatality rates? Do the results suggest that imported lemons cause car fatalities?
$\begin{array}{cccccc}\text{Lemon Imports}& 230& 265& 358& 480& 530\\ \text{Crashe Fatality Rate}& 15.9& 15.7& 15.4& 15.3& 14.9\end{array}$

asked 2022-07-10

Learning Objective to be able to interpret the value of Pearson's correlation coefficient Match up the interpretations with the values of Pearson's correlation coefficient r:

r = -1

r = 0

r = 0.34

r = 8

r = 1

1. some degree of correlation; significance test recommended

2. impossible value for r

3. no evidence of linear relationship

4. perfect positive correlation

5. perfect inverse (negative)correlation

r = -1

r = 0

r = 0.34

r = 8

r = 1

1. some degree of correlation; significance test recommended

2. impossible value for r

3. no evidence of linear relationship

4. perfect positive correlation

5. perfect inverse (negative)correlation

asked 2022-01-17

What is the probability that the deal of a five-card hand provides no aces?

asked 2021-05-25

The means of the number of revolutions per minute of two competing engines are to be compared. Thirty engines are randomly assigned to be tested. Both populations have normal distributions. Table 10.9 shows the result. Do the data indicate that Engine 2 has higher RPM than Engine 1? Test at a 5% level of significance. EngineSample Mean Number of RPMPopulation Standard Deviation 11,50050 21,60060 Table 10.9