Answer: The texture of soil determines soil water-holding capacity, permeability, and soil workability. Sand, silt, clay, and organic matter particles in a soil combine with one another to form larger particles. Soil structure is the arrangement of the soil particles into aggregates of various sizes and shapes. THEREFORE THE ANSWER TO THE FIRST ONE IS A) SOIL TEXTURE.
FOR THE SECOND QUESTION THE ANSWER IS B) CRUMBY.
FOR THE THIRD QUESTION THE ANSWER IS D) Water carries nutrients below plant roots where they are unavailable to plants.
FOR THE FOURTH QUESTION THE ANSWER IS D) Soil pH does not affect the availability of nutrients
FOR THE FIFTH QUESTION THE ANSWER IS C) Soil which contains relatively equivalent portions of sand, silt and clay
Explanation: Good luck you got this!!! :))
3. Which renewable resource is a vital source of energy for all living things? wind solar biomass hydropower
Answer:
Solar
Explanation:
I think solar because all living things need sunlight and thats solar.
3. Find the volume of the
Done
12 in
d = 8 in.
Answer:
..........
Explanation:
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A researcher wants to determine whether there is a relationship between age and frequency of travel. In a random sample of 18- to 25-year-olds, 70 of 195 traveled more than twice each year. In a random sample of 55- to 62-year-olds, 205 of 230 traveled more than twice each year. What is the margin of error for a 98% confidence interval for the difference between the proportions of travelers in these age groups who travel more than twice each year?
1.3180
0.5656
0.0931
0.0400
0.0016
Answer:
C. 0.0931
Explanation:
The margin of error for a 98% confidence interval for the difference between the proportions of travelers in these age groups who travel more than twice each year is 0.0931.
What is margin of error?Margin of error is defined as the level of error in survey findings that were chosen at random. Your results will vary from the actual population value by how many percentage points, as indicated by the margin of error. In statistics, the margin of error is the level of inaccuracy in the findings of surveys using random samples.
If your statistic has a 95% confidence interval and a 4% margin of error, it will often be within 4% of the true population value and if it is 98% and a 5 % margin of error is occurred according to this the answer is 0.0931.
Thus, the margin of error for a 98% confidence interval for the difference between the proportions of travelers in these age groups who travel more than twice each year is 0.0931.
To learn more about margin of error, refer to the link below:
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PLEASE HELP ME SUMMARIZE THIS TEXT
Answer:
okay I can't write out the summary but I'll tell you how I can't really get it out cuz I can't see it the first you want to take the main events and the first two lines and first two last lines and put it together
A researcher wants to test the claim that the proportion of men and women who exercise regularly is not the same. He finds that 42 of 65 randomly selected men and 34 of 52 randomly selected women report exercising regularly. A 90% confidence interval for the difference in population proportions is (−0.154, 0.138). Which of the statements gives the correct outcome of the researcher's test of the claim?
Because the confidence interval includes zero, the researcher can conclude the proportion of men and women who exercise regularly is the same.
Because the confidence interval includes zero, the researcher can conclude the proportion of men and women who exercise regularly may be the same.
Because the confidence interval includes zero, the researcher can conclude the proportion of men and women who exercise regularly is different.
Because the confidence interval includes more positive than negative values, the researcher can conclude that a greater proportion of men than women exercise regularly.
The researcher cannot draw a conclusion about a claim without performing a significance test.
Answer:
Because the confidence interval includes zero, the researcher can conclude the proportion of men and women who exercise regularly may be the same.
Explanation:
When constructing a two-proportion z-interval, it is important to look for the value zero. A value of zero in the interval shows there is no difference in the proportions between the two populations.
If the interval contains all positive numbers, it implies the true proportion for sample 1 is greater than that for sample 2. If the interval contains all negative numbers, it implies the true proportion for sample 1 is less than that for sample 2.