Test the hypothesis using the P-value approach. Be sure to verify the requirements of the test.

Is

Use technology to find the P-Value.

Falak Kinney
2021-05-27
Answered

Test the hypothesis using the P-value approach. Be sure to verify the requirements of the test.

Is

Use technology to find the P-Value.

You can still ask an expert for help

pattererX

Answered 2021-05-28
Author has **95** answers

Null hypothesis,

Alternative hypothesis,

Under

Now consider,

Since

Given information:

Number of trials,

Number of sucesses in 150 cases,

Sample proportion,

Compute test statistic.

Alternative hypothesis has symbol "<", so the test is based on left-tailed.

Using Excel function "=NORMSTD(z)"

When testing the hypothesis

asked 2020-12-07

Which of the following are possible examples of sampling distributions? (Select all that apply.)

mean trout lengths based on samples of size 5

average SAT score of a sample of high school students

average male height based on samples of size 30

heights of college students at a sampled universit

yall mean trout lengths in a sampled lake

mean trout lengths based on samples of size 5

average SAT score of a sample of high school students

average male height based on samples of size 30

heights of college students at a sampled universit

yall mean trout lengths in a sampled lake

asked 2021-03-04

Which of the following statements about the sampling distribution of the sample mean is incorrect?

(a) The standard deviation of the sampling distribution will decrease as the sample size increases.

(b) The standard deviation of the sampling distribution is a measure of the variability of the sample mean among repeated samples.

(c) The sample mean is an unbiased estimator of the population mean.

(d) The sampling distribution shows how the sample mean will vary in repeated samples.

(e) The sampling distribution shows how the sample was distributed around the sample mean.

(a) The standard deviation of the sampling distribution will decrease as the sample size increases.

(b) The standard deviation of the sampling distribution is a measure of the variability of the sample mean among repeated samples.

(c) The sample mean is an unbiased estimator of the population mean.

(d) The sampling distribution shows how the sample mean will vary in repeated samples.

(e) The sampling distribution shows how the sample was distributed around the sample mean.

asked 2021-03-09

Which of the following is true about the sampling distribution of means?

A. Shape of the sampling distribution of means is always the same shape as the population distribution, no matter what the sample size is.

B. Sampling distributions of means are always nearly normal.

C. Sampling distributions of means get closer to normality as the sample size increases.

D. Sampling distribution of the mean is always right skewed since means cannot be smaller than 0.

A. Shape of the sampling distribution of means is always the same shape as the population distribution, no matter what the sample size is.

B. Sampling distributions of means are always nearly normal.

C. Sampling distributions of means get closer to normality as the sample size increases.

D. Sampling distribution of the mean is always right skewed since means cannot be smaller than 0.

asked 2021-02-12

Which of the following is true about sampling distributions?

-Shape of the sampling distribution is always the same shape as the population distribution, no matter what the sample size is.

-Sampling distributions are always nearly normal.

-Sampling distribution of the mean is always right skewed since means cannot be smaller than 0.

-Sampling distributions get closer to normality as the sample size increases.

-Shape of the sampling distribution is always the same shape as the population distribution, no matter what the sample size is.

-Sampling distributions are always nearly normal.

-Sampling distribution of the mean is always right skewed since means cannot be smaller than 0.

-Sampling distributions get closer to normality as the sample size increases.

asked 2021-05-01

The following data represent soil water content for independent random samples of soil taken from two experimental fields growing bell peppers Soil water content from field I:

Which distribution (standard normal or Student's t) did you use? Why? Do you need information about the soil water content distributions?

asked 2021-08-14

Resource managers of forest game lands were concerned about the size of the deer and rabbit populations during the winter months in a particular forest. As an estimate of population size, they proposed using the average number of pellet groups for rabbits and deer per 30-foot-square plots. From an aerial photograph, the forest was divided into N= 10,000 30-foot-square grids. A simple random sample of 2 = 500 plots was taken, and the number of pellet groups was observed for rabbits and for deer. The results of this study are summarized in the accompanying table.

a. Estimate$\mu}_{1},{\textstyle \phantom{\rule{1em}{0ex}}}\text{and}{\textstyle \phantom{\rule{1em}{0ex}}}{\mu}_{2$ , the average number of pellet groups for deer and rabbits, respectively, per 30-foot-square-plots. Place bounds on the errors of estimation.

b. Estimate the difference in the mean size of pellet groups per plot for the two animals, with an appropriate margin of error.

Deer

Sample mean = 2.30

Sample variance = 0.65

Rabbits

Sample mean = 4.52

Sample variance = 0.97

a. Estimate

b. Estimate the difference in the mean size of pellet groups per plot for the two animals, with an appropriate margin of error.

Deer

Sample mean = 2.30

Sample variance = 0.65

Rabbits

Sample mean = 4.52

Sample variance = 0.97

asked 2021-02-25

Explain the meaning of the phrase " the sampling distribution of the sample statistic A"