Answer:
a. non response bias
This is one of the usually cause when we use a non-random sample, sinc the probability of selection for all the individuals on the population is not the same when we use this, we are comitting non response bias since we are not taking in count some people in the possible target sample.
Nonresponse bias is "the bias that results when respondents differ in meaningful ways from nonrespondents. Nonresponse is often problem with mail surveys, where the response rate can be very low".
Step-by-step explanation:
Random sample
For this method we need the following two conditions:
(1) "Every element in our population has a nonzero probability of being selected as part of the sample."
(2)" We have accurate knowledge of this probability, known as the inclusion probability, for each element in the sampling frame".
Non random sample
It's the opposite of random sample and we have these problems associated:
(1) "It is relatively unusual to have a sampling frame available to you when you’re conducting market studies".
(2) "Ensuring that every individual in a population has a nonzero probability of being selected is just as difficult to accomplish; knowing every sampling unit’s exact inclusion probability is even more difficult. The individuals that cannot be selected as part of a sample are generally referred to as excluded units".
Assuming the following options:
a. non response bias
This is one of the usually cause when we use a non-random sample, sinc the probability of selection for all the individuals on the population is not the same when we use this, we are comitting non response bias since we are not taking in count some people in the possible target sample.
Nonresponse bias is "the bias that results when respondents differ in meaningful ways from nonrespondents. Nonresponse is often problem with mail surveys, where the response rate can be very low".
b. parameter
False we are looking for a cause related to non random sample. The parameter is just a value that we want to find but is not a cause related to the non random sample.
c. statistics
False, we can associate a cause of non random sample with the statistics. The term "statistics" is a big concept that involves a lot of methods and ways to analyze information, and is not the correct cause associated to the non-random sample.
d. population
False, we can associate the population as a cause of the non random sample. We use sampling methods in order to estimate some population parameters. But the population is not a cause of the non-random sample.
b. The distance traveled is three times the number of hours I have hiked. The independent variable is distance. The dependent variable is hours..
c. The hours I have hiked is three times the distance. The independent variable is distance. The dependent variable is hours.
d. The hours I have hiked is three times the distance. The independent variable is hours. The dependent variable is distance.
Please select the best answer from the choices provided.
Answer:
If hours is represented as h, your distance is therefore 3*h (due to that for every hour, you walk 3 miles. For example, in one hour you'd walk 3 miles, in 2 hours you'd walk 3+3=3*2=6 miles,etc.). If distance is represented by d, we get 3*h=d. Since you have to figure out the distance from the equation (that's the purpose of it!), the distance is the dependent variable. In addition, since you can't have 2 separate variables in one equation, h is the independent variable due to that you have to put a number for h in to figure out the distance
So basically the answer is A.
slope coefficient] is the estimated amount of a purchase if time spent viewing the online catalog were zero. The a. intercept b. coefficient of determination
c. slope coefficient d. correlation coefficient] is the estimate of amount that a purchase changes for one extra minute spent viewing the online catalog.
b. Compute the coefficient of determination and interpret its meaning. Fill in the blanks below.
The [a. proportion b. amount] of the total variation in purchases that can be explained by variation in the minutes spent viewing the? on-line catalog is equal to the coefficient of? determination, which is ____. (Round to three decimal places as needed)
State the conclusion. Fill in the blanks below. [a. Do not Reject b. Reject] the null hypothesis. There is [a. sufficient b. insufficient] evidence to support the claim that the overall model is significant.
The p-value is ____. (Round to three decimal places as needed.)
State the conclusion. Fill in the blanks below.
a.Do not Reject b. Reject c. the null hypothesis. There is a. sufficient b. insufficient
evidence to support the claim that the overall model is significant.
Determine the p-value.
The p-value is ____. (Round to three decimal places as needed.)
State the conclusion. Fill in the blanks below.
[a. Reject b. Do not Reject] the null hypothesis. There is [a. insufficient b. sufficient]
evidence to support the claim that the regression slope coefficient is not equal to zero.
Answer:
With the information given in the question, the blank spaces are filled thus:
Step-by-step explanation:
1. The intercept is the estimated amount of a purchase, if time spent viewing the online catalog was zero minutes.
2. The slope coefficient is the estimate of amount that a purchase charges/changes, for one extra minute spent viewing the online catalog.
3. The proportion of total variation in purchases that can be explained by variation in the minutes spent viewing an online catalog is equal to the coefficient of determination.
4. The p-value is the probability value
5. Reject the null hypothesis if there is sufficient evidence to support the claim that the regression slope coefficient is not equal to zero.
NOTE: In the case of number 5, the assumption is that;
Null Hypothesis: The regression slope coefficient = 0
Alternative Hypothesis: The regression slope coefficient ≠ 0
Other answers require numerical information and full data, in order to be computed or calculated.
Growth 2.63 2.57 2.67 2.50 2.47 2.38 2.25
Required:
a. Find the mean and standard deviation of both sea surface temperature x and growth y and the correlation r between x and y.
b. Find the least-squares line. The result should agree with your work in part (a) up to roundoff error. (Round your answers to three decimal places.)
c. Say in words what the numerical value of the slope tells you.
Answer:
Kindly check explanation
Step-by-step explanation:
Given the following :
Sea Surface Temperature (x) : 29.69 29.87 30.16 30.22 30.48 30.65 30.80
Growth : (y) 2.63 2.57 2.67 2.50 2.47 2.38 2.25
Mean (x) :
Σ(X) / n
n = number of observations
Mean (m1) = Σ(X) / n = 211.87 / 7 = 30.27
Standard deviation(sx) = 0.3742 (using calculator)
Mean (m2) :
Σ(y) / n = 17.47 / 7 = 2.50
Standard deviation(sy) = 0.1354 ( using calculator)
Correlation (r) :
(1/n)Σ[(x - m1) / sx] × [(y - m2) /sy]
Using calculator to save computing time :
r = - 0.8642
b. Find the least-squares line. The result should agree with your work in part (a) up to roundoff error. (Round your answers to three decimal places.)
The least square line using the regression calculator :
y = -0.31 + 11.96x
Comparing to the regression equation format :
y = mx + c
Where ;
-0.31 = intercept ; 11.96 = slope ; x = independent variable ; y = dependent variable
c. Say in words what the numerical value of the slope tells you.
For every 1° degree rise in surface temperature, growth increases by 11.96
To obtain a mixture that is 70% antifreeze, you need to mix 70 gallons of an 80% antifreeze solution with 70 gallons of a 30% antifreeze solution.
To determine how many gallons of an 80% antifreeze solution must be mixed with 70 gallons of 30% antifreeze to get a mixture that is 70% antifreeze, we can use the concept of the concentration of solutions.
Let's assume x gallons of the 80% antifreeze solution need to be added.
The amount of antifreeze in the 80% solution is 0.8x gallons, and the amount of antifreeze in the 30% solution is 0.3 * 70 = 21 gallons. The total amount of antifreeze in the final mixture is 0.7 * (70 + x) gallons.
Setting up the equation: 0.8x + 21 = 0.7 * (70 + x).
Solving for x, we get x = 70 gallons. Therefore, you need to mix 70 gallons of the 80% antifreeze solution with 70 gallons of the 30% antifreeze solution to get a mixture that is 70% antifreeze.
#SPJ3
x2−10x−25
4x2−12x+9
9x2+12x+16
16x2+16x+1
Answer:
4x^2−12x+9
Step-by-step explanation:
The form of a perfect square trinomial is ...
(a +b)² = a² +2ab +b²
The first and last terms must be positive and perfect squares. The middle term must be twice the product of their roots (possibly with a minus sign).
x^2 -10x -25 . . . . -25 is not a positive perfect square
4x^2 -12x +9 . . . . 12x = 2√(4x^2·9) = 2·6x . . . . perfect square
9x^2 +12x +16 . . . 12x ≠ 2√(9x^2·16) = 2·12x
16x^2 +16x +1 . . . 16x ≠ 2√(16x^2·1) = 2·4x
The average value of the function is .
The average value of the function is given as,
Given function is,
Substitute values in above relation.
The values of x in the interval for which the function equals its average value is,
Learn more about the average value of function here:
Answer with Step-by-step explanation:
We are given that
]
Average value of the function is given gy
Using the formula