Which ordered pair is a solution of the equation below? y=4x?

slava [35]

1.3908 is the answer

4 0

3 years ago

dentify which of these types of sampling is used: random, systematic, convenience, stratified, or cluster. To determine her a

Bess [88]

Answer:

The sampling method used is a stratified sampling method

Step-by-step explanation:

sampling is the selection of a predetermined representative subpopulation from a larger population, to estimate the characteristics of the whole population.

Stratified sampling: Here, the total population are divided into subcategories (strata) before sampling is done. The strata are formed based on some common characteristics. In our example, the times of the day (morning, afternoon and evening) has widely varying atmospheric conditions which will add biases to the measurement of air quality. For example, the air in the morning if compared to the afternoon in an industrial area may be purer because of minimal industrial activity, hence effective comparison will be made by stratification.

6 0

3 years ago

The difference in the x-coordinates of two points is 3, and the difference in the y-coordinates of the two points is 6. What is

Makovka662 [10]

To find the slope, use the rise/run technique with rise as the difference in y-coordinates and run as the difference in x-coordinates. So, the rise is 6 units and the run is 3 units in this situation. Now simply put it as a fraction: 6/3, which can be simplified to 2/1, or 2.

5 0

4 years ago

Read 2 more answers

Consider a drug testing company that provides a test for marijuana usage. Among 317 tested subjects, results from 25 subjects w

svet-max [94.6K]

Answer:

We conclude that we fail to reject $H_0$ as there is not sufficient evidence to warrant support of the claim that less than 10 percent of the test results are wrong.

Step-by-step explanation:

We are given that among 317 tested subjects, results from 25 subjects were wrong.

We have to test the claim that less than 10 percent of the test results are wrong.

Let p = proportion of subjects that were wrong.

So, Null Hypothesis, $H_0$ : p = 10% {means that 10 percent of the test results are wrong}

Alternate Hypothesis, $H_A$ : p < 10% {means that less than 10 percent of the test results are wrong}

The test statistics that would be used here One-sample z proportion statistics;

T.S. = $\frac{\hat p-p}{\sqrt{\frac{\hat p (1-\hat p)}{n} } }$ ~ N(0,1)

where, $\hat p$ = sample proportion of test results that were wrong = $\frac{25}{317}$ = 0.08

n = sample of tested subjects = 317

So, test statistics = $\frac{0.08-0.10}{\sqrt{\frac{0.08 (1-0.08)}{317} } }$

= -1.31

The value of z test statistics is -1.31.

Now, the P-value of the test statistics is given by the following formula;

P-value = P(Z < -1.31) = 1 - P(Z $\leq$ 1.31)

= 1 - 0.9049 = 0.095

Now, at 0.05 significance level the z table gives critical value of -1.645 for left-tailed test. Since our test statistics is more than the critical value of z as -1.31 > -1.645, so we have insufficient evidence to reject our null hypothesis as it will not fall in the rejection region due to which we fail to reject our null hypothesis.

Therefore, we conclude that we fail to reject $H_0$ as there is not sufficient evidence to warrant support of the claim that less than 10 percent of the test results are wrong.

5 0

3 years ago

When using the Poisson distribution, which parameter of the distribution is used in probability computations? What is the symbol

egoroff_w [7]

Answer:

The Poisson distribution uses the shape parameter denoted by λ.

Step-by-step explanation:

A Poisson distribution is used to describe the distribution of the number of events that take place in a fixed interval of time.

For instance, number of customers arriving at a bank in an hour or the number of typos encountered in a book every 50 pages.

The Poisson distribution uses the shape parameter to compute the probabilities of different events.

The shape parameter is defined as the average number of occurrence in a given time interval. It is usually denoted by λ.

The probability mass function of a Poisson distribution is:

$P(X=x)\frac{e^{-\lambda}\lambda^{x}}{x!};\ x=0,1,2,3...$

7 0

3 years ago