Answer: cos ( 390 ) − 4 cot ( − 45 ) sin (330 )
Step-by-step explanation: MAKE ME BRANLIEST!!!!!!
Advantage of using paired samples William S. Gosset was employed by the Guinness brewing company of Dublin. Sample sizes available for experimentation in brewing were necessarily small, and new techniques for handling the resulting data were needed. Gosset consulted Karl Pearson (1857-1936) of University College in London, who told him that the current state of knowledge was unsatisfactory. Gosset undertook a course of study under Pearson and the outcome of his study was a famous paper published in statistical literature, "The Probable Error of a Mean" (1908), which introduced the t- distribution. Since Gosset was contractually bound by Guinness, he published under a pseudonym, "Student"; hence, the t distribution is often referred to as 'Student's t distribution.' As an example, to illustrate his analysis, Gosset reported in his paper on the results of seeding 11 different plots of land with two different seed types: regular and kiln-dried. There is reason to believe that drying seeds before planting will increase plant yield. Since different plots of soil may be naturally more fertile, a matched pairs design was used by planting both types of seeds in all 11 plots. The resulting data (corn yield in pounds per acre) are in the submodule in Canvas. Open the 'seeds' dataset in Minitab. We will use this data to test if there is a difference in the yield based on seed type. Exploratory Data Analysis Visually, consider the two variables 'Regular seed' and 'Kiln_dried_seed.' Create a graph that displays a boxplot for each variable. Graph > Boxplot > Multiple Y Variables > With Categorical Variables > Select variables. 1. What do you observe? What are the shapes of the distributions? Is there an obvious difference in the centers of the distributions? Note: we can use the t distribution to make inferences because the graphs show no clear skewness or outliers Analysis This is paired data since both types of seed were planted in each plot, so the yields of each seed type in the plot are paired. The unit/case is the plot. What happens when we build a confidence interval for the difference in means without taking the pairing into account. 2. Use Minitab to build the 95% confidence interval: Stat > Basic Statistics > 2-sample t> Select 'Each sample is in its own column' from the drop-down menu. Sample 1: 'Regular_seed' and Sample 2: 'Kiln_dried_seed' What is the 95% confidence interval for μ1−μ2 ? 3. With the corresponding two-sided test, what is the p-value and generic conclusion? Note: Remember that an advantage of using a paired means approach is the ability to reduce unwanted variation and focus on the variation of interest. 4. Create dotplots of Samples: 'Regular_seed', 'Kiln_dried_seed', and the "Differences" Graph > Dotplot > Multiple Y Variables > enter all 3 variables Compare the three dotplots that you created. Do the sample of differences seem to have more, less, or about the same variation that is found with the two individual samples? 5. Use Minitab to find the summary statistics for all three variables: Stat > Basic Statistics > Display Descriptive Statistics [select all 3 variables] Complete the table below with the standard deviation: What do you notice about the standard deviation of the differences? 6. Calculate the 95% confidence interval for μd : Stat > Basic Statistics > Paired t> Sample 1: 'Regular_seed' and Sample 2: 'Kiln_dried_seed' x
ˉ
d= Ibs/acre 95% confidence interval for μd : 7. Compare the confidence interval for μd in part 6 with the confidence interval that you found for μ1−μ2 in part 2 . What is the most salient difference between the two intervals? 8. What is the p-value and generic conclusion for the corresponding two-sided hypothesis test with μd ? 9. Compare the p-values from the two tests. What have you learned about the advantage of using a paired design when your data is matched pairs?
1. Observations: The boxplot graph reveals the distributions of corn yield for the 'Regular seed' and 'Kiln-dried seed.'
Both distributions appear approximately symmetric without any clear skewness. The center of the 'Kiln-dried seed' distribution seems to be slightly higher than the center of the 'Regular seed' distribution.
2. 95% Confidence Interval: Using Minitab, the 95% confidence interval for μ1-μ2 is (-28.88, -9.66) pounds per acre.
3. P-value and Conclusion: The corresponding two-sided test yields a p-value of 0.003.
Suggesting strong evidence of a difference in means between the two seed types. We can conclude that there is a significant difference in corn yield based on seed type.
4. Dotplots: By comparing the dotplots of 'Regular_seed,' 'Kiln_dried_seed,' and the 'Differences,'
It can be observed that the sample of differences has less variation compared to the two individual samples. The range of the differences is narrower, indicating reduced variation when focusing on the paired data.
5. Summary Statistics: The standard deviations for 'Regular_seed,' 'Kiln_dried_seed,' and the 'Differences' are 18.37, 14.71, and 8.21 pounds per acre, respectively.
Notably, the standard deviation of the differences is smaller compared to the standard deviations of the individual samples.
6. 95% Confidence Interval for μd: Using the paired t-test in Minitab, the 95% confidence interval for μd is (-18.16, -7.38) pounds per acre.
7. Comparison of Confidence Intervals: The confidence interval for μd (paired design) is narrower than the confidence interval for μ1-μ2 (unpaired design) from part 2.
This indicates that considering the pairing reduces the variability and provides a more precise estimate.
8. P-value and Conclusion for μd: The two-sided hypothesis test for μd yields a p-value of 0.001.
Indicating strong evidence of a significant difference in means between the two seed types.
9. Comparison of P-values: The p-value from the paired design (μd) is smaller than the p-value from the unpaired design (μ1-μ2).
This suggests that the paired design is more sensitive and able to detect smaller differences. The advantage of using a paired design becomes evident as it reduces unwanted variation, increases precision, and enhances the ability to detect significant differences.
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there are 45 runners in a race. how many ways can the runners finish first, second, and third?
There are 85,860 ways the runners can finish first, second, and third in the race.
The number of ways the runners can finish first, second, and third can be calculated using the concept of permutations.
For the first position, there are 45 runners who can finish first.
For the second position, there are 44 runners left who can finish second (since one runner has already finished first).
For the third position, there are 43 runners remaining who can finish third (since two runners have already finished).
The total number of ways the runners can finish first, second, and third is given by the product of these individual possibilities:
Number of ways = 45 * 44 * 43 = 85,860
Therefore, there are 85,860 ways the runners can finish first, second, and third in the race.
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Find the minimum of the Brown's badly scaled function using Powell's method. f(x) = (x₁ - 10^6)² + (x₂ − 2 × 10^-6)² + (x₁x₂ - 2)²
The minimum of Brown's badly scaled function, f(x) = (x₁ - 10^6)² + (x₂ − 2 × 10^-6)² + (x₁x₂ - 2)², can be found using Powell's method.
Powell's method is an optimization algorithm used to find the minimum of a function. It is an iterative method that searches for the minimum by successively approximating the direction of the minimum along each coordinate axis.
To apply Powell's method to find the minimum of Brown's badly scaled function, we start with an initial guess for the minimum point. Then, we iteratively update the guess by evaluating the function at different points and adjusting the guess based on the obtained results.
The iterative process continues until a convergence criterion is met, indicating that the minimum has been sufficiently approximated. The final guess represents the minimum point of the function.
By applying Powell's method to Brown's badly scaled function, we can determine the coordinates of the minimum point, which correspond to the values of x₁ and x₂ that minimize the function. The specific values of x₁ and x₂ will depend on the initial guess and the convergence criteria used in the optimization process.
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Using the information in part A, interpret the meaning of the quotient in terms of the two fractions given
Answer:
hello the information in part A is missing below is the missing information
How many 2/3 foot pieces can Wendy cut from the 5 and 1/3 feet of ribbon? Show your work
answer : 8
Step-by-step explanation:
The quotient in terms of the two fractions
Determine 2/3 foot that can be gotten from 5 1/3
Divide 5 1/3 by 2/3 ( how to get quotient )
= 5 1/3 / 2/3
= (16 / 3 ) / ( 2/3 ) ( meaning of the quotient )
= 8
Two thirds of the money in my pocket is 50 cents. a, what is one third of the money in my pocket
Answer:
25 cents
Step-by-step explanation:
1.) Set up an equation you can solve from the wording of the question:
(2/3)*m = 50, where "m" represents the money in your pocket.
2.) Solve for that equation:
m = 50*(3/2) = 150/2 = 75, so now you know the money you have in your pocket is 75 cents
3.) Multiply the money you have in your pocket by 1/3 to find 1/3 of the money you have in your pocket:
75*(1/3) = 25
Which line is parallel to y = 2 and goes through the point (3, 4)?
Answer:
y = 4
Step-by-step explanation:
Since it's y = 2,
there's no slope
So y = 4 is parallel to y = 2
y = 4 goes through the point (3, 4) since it's just one horizontal line hitting the y-axis
Jaxon must sell at least 49 rolls of wrapping paper to support the robotics club fundraiser. He has already sold 24 rolls of wrapping paper. Which inequality best represents the number of rolls of wrapping paper Jaxon still needs to sell?
A. x + 24 > 49
B. x + 24 ≤ 49
C. x + 24 < 49
D. x + 24 ≥ 49
Answer:
D. x + 24 ≥ 49
Step-by-step explanation:
He has already sold 24 rolls, and will sell more x.
So, the total number of rolls that he will sell is:
[tex]T = 24 + x[/tex]
Jaxon must sell at least 49 rolls of wrapping paper to support the robotics club fundraiser.
This means that:
[tex]T \geq 49[/tex]
[tex]24 + x \geq 49[/tex]
The correct answer is given by option D.
(ill give 25) let r be the region enclosed by the y-axis, the line y = 2, the line y = 3, and the curve =. a solid is generated by rotating R about the y-axis, what is the volume of the solid?
What is the base area of the cone?
15 m²
25 m²
45 m²
125 m²
Answer:
45 m^2
Step-by-step explanation:
For a standard normal distribution (u=0, 0=1), the area under the curve less than 1.25 is 0.894. What is the approximate percentage of the area under the curve less than -1.25? 0.894 0.394 0.211 0.106
After considering all the given data we conclude that approximate percentage of area under the curve is 10.6%, which is approximately 0.106 as a decimal or 53/500 as a fraction
In case of standard normal distribution, the area under the curve less than 1.25 is 0.894.
Then the standard normal distribution is symmetric about the mean, the area under the curve less than -1.25 is the same as the area under the curve greater than 1.25.
Hence, the approximate percentage of the area under the curve less than -1.25 is approximately
(1 - 0.894) * 100% = 10.6%,
which is approximately 0.106 as a decimal or 53/500 as a fraction
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Which sets of ordered pairs represent functions from A to B?
A = {1, 2, 3, 4) and B = {-2, -1, 0, 1, 2)
{(1, -1), (3, 2), (2, -2), (4, 0), (2, 1)) {(1, 2), (4, 0), (2, 1)) {(1, 1), (2, -2), (3, 0), (4, 2)} {(1, 0), (2, 0), (3, 0), (4, 0))
The set of ordered pairs that represents a function from A to B is {(1, -1), (3, 2), (4, 0), (2, 1)}. A function from A to B is a relation that assigns a unique element from B to each element in A.
In order for a set of ordered pairs to represent a function, each element in A must have exactly one corresponding element in B.
Let's analyze each set of ordered pairs:
1. {(1, -1), (3, 2), (2, -2), (4, 0), (2, 1)}: This set is not a function because the element 2 in A is assigned two different elements (-2 and 1) in B. Each element in A should have a unique corresponding element in B.
2. {(1, 2), (4, 0), (2, 1)}: This set is a function because each element in A is assigned a unique element in B.
3. {(1, 1), (2, -2), (3, 0), (4, 2)}: This set is a function because each element in A is assigned a unique element in B.
4. {(1, 0), (2, 0), (3, 0), (4, 0)}: This set is a function because each elementin A is assigned a unique element (0) in B.
Based on the analysis, the set of ordered pairs that represents a function from A to B is {(1, -1), (3, 2), (4, 0), (2, 1)}.
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HELP PLEASE what’s the answer!?!?
Answer:
this is the answer for 4th question
and it is a collinear
Answer:
C=20
Step-by-step explanation:
This is for question 3
For perpendicular lines , the product of their gradient should give -1 for the answer and thus,
3×x=-1
x=-⅓, the gradient for the line.
Therefore c =
-2-3/c- 5 =-⅓
-1(c-5)=3(-2-3)
-c+5=-6-9
-c=-6-9-5
-c=-20
The negatives cancel each other leaving c as 20
Fill in the blank. The only solution of the initial-value problem y" + x2y = 0, y(0) = 0, y'(0) = 0 is y(x) = 0
The only solution of the initial-value problem y" + x^2y = 0, y(0) = 0, y'(0) = 0 is y(x) = 0, where y(x) represents the unknown function and x represents the independent variable.
To determine the solution of the initial-value problem, we consider the given second-order linear homogeneous differential equation y" + x^2y = 0 along with the initial conditions y(0) = 0 and y'(0) = 0.
First, we solve the differential equation by assuming a solution of the form y(x) = Ax^n, where A is a constant and n is an exponent to be determined. Substituting this into the differential equation, we obtain the characteristic equation n(n-1) + x^2 = 0.
Solving the characteristic equation, we find that the roots are n = 0, which corresponds to the solution y(x) = A, and n = 1, which corresponds to the solution y(x) = Bx. However, when we apply the initial conditions y(0) = 0 and y'(0) = 0, we find that both solutions are equal to zero.
Therefore, the only solution that satisfies both the differential equation and the initial conditions is y(x) = 0, indicating that the function y(x) is identically zero for all values of x.
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Fran has a box of candy. There are 5 pieces of lemon-flavored candy, 3 pieces of orange-flavored candy, and 4 pieces of grape-flavored candy in the box. Fran will randomly select 1 piece of candy from the box. What is the probability that the piece of candy will NOT be lemon flavored?
A. 7/12
B. 5/12
C. 5/7
D. 2/3
Answer:
5/12
Step-by-step explanation:
Answer:7/12
Step-by-step explanation: 5+3+4=12 12-5= 7/12
What is the length of side AB
Answer:
if two Angles have equal measure then the slide opposite to them equal in the length is 6 units
Does anyone know how to do this because im confused.
Answer:
no but choose b if u don't know it it usually works for me sorry if I don't help :(
Answer:
y=-3x is the bottom right one
y=4x is the top middle
y=x-3 is the top right one
Step-by-step explanation:
Help please :) (asap)
x^2 - x - 6= 0
(x - 3) ( x + 2) = 0
Equating
x - 3 = 0
x = 3
x+ 2= 0
x = -2
Answer: x - 6
Step-by-step explanation:
Ice cream consumption was measured over 30 four-week periods from March 18, 1951 to July 11, 1953. The purpose of the study was to determine if ice cream consumption depends on the variables price, income, or temperature. For this HW question, we want to see if the temperature (temp) affects the ice cream consumption (IC). Attached is the output from the simple linear regression of temperature on ice cream consumption. What percentage of change in ice cream consumption can be explained by temperature
Answer:
Log Linear Model : log y = a + bx. Slope 'b' represent % change in ice cream sale, due to unit change in temperature.
Step-by-step explanation:
Assuming a log linear regression model, with dependent variable 'y' ie Ice cream sale & independent variable 'x' ie temperature sale.
In form of regression, log y = a + bx {a = intercept}. Here, slope b represents response of one unit change (Increase) in temperature leading to b% change (ie rise) in ice cream consumption. Slope coefficient 'b' is likely to be positive, as temperature & ice cream sale are likely to be directly related, higher temperature (hot weather) imply high ice cream sale, & vice versa less sales for lower temperature (cool weather)
Find the volume of this triangular prism.
Answer:
v = 9x9x0.5x5 = 202.5 ft^3
Step-by-step explanation:
plx help dont lie about the right answer
Answer:
c
Step-by-step explanation:
A candle is formed in the shape of a cylinder. It has a diameter of 4 inches a d a height if 5 inches. Which measurement is closest to the total surface area of the candle in square inches
The closest measurement in square inches to the overall surface area of the candle is 87.92 square inches.
To find the total surface area of the candle, we need to calculate the lateral surface area (excluding the top and bottom) and then add the areas of the two circular bases.
1. Lateral Surface Area:
The formula for the lateral surface area of a cylinder is given by A = 2πrh, where r is the radius of the base and h is the height of the cylinder.
Given that the diameter of the candle is 4 inches, we can calculate the radius by dividing the diameter by 2:
Radius (r) = 4 inches / 2 = 2 inches
Height (h) = 5 inches
Using the formula, we can calculate the lateral surface area:
Lateral Surface Area = 2π(2 inches)(5 inches) = 20π square inches
2. Base Area:
The formula for the area of a circle is given by A = πr^2, where r is the radius of the circle.
Using the radius calculated earlier (r = 2 inches), we can calculate the area of each circular base:
Base Area = π(2 inches)^2 = 4π square inches
3. Total Surface Area:
To find the total surface area, we add the lateral surface area and the areas of the two circular bases:
Total Surface Area = Lateral Surface Area + 2(Base Area)
Total Surface Area = 20π + 2(4π) = 20π + 8π = 28π square inches
Approximating the value of π to 3.14, we can calculate the approximate total surface area:
Total Surface Area ≈ 28(3.14) = 87.92 square inches
Therefore, the closest measurement to the total surface area of the candle in square inches is 87.92 square inches.
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Find m QRS? who can help me?
Answer:
m<PRS+m<PRQ=m<QRS.
17 + 17 = 34
m<QRS=34
Answer:
34 degrees
Step-by-step explanation:
anglePRS is 17 degrees
angle QRT is also 17 degrees
angle qrt +prs =34 degrees
What is the mode of the data set? {32, 29, 35, 25, 32, 22, 30} Enter your answer in the box.
Answer:
beleive its 35
Step-by-step explanation:
Answer:
The mode hear is 32
Step-by-step explanation:
The mode is the number seen the most in a selected group.
Here is a Mnemonic to help remember what the 3 M's are:
'Hey diddle, diddle
the medians in the middle
add and divide for the mean
the mode is the one that you see the most
and the range is the difference between'
Find the midpoint between the two points.
Answer:
(1,3) is the answer.
Step-by-step explanation:
hope you get it right!!
Last year, a property manager bought seven identical snow shovels and nine identical bags of salt. The total cost of the snow shovels was $241.50, before tax, and each bag of salt cost $6.20, before tax. This year, the property manager bought 3 identical snow shovels and six identical bags of salt. The total cost of the snow shovels was $105.57, before tax, and the total cost of the bags of salt was $39.06, before tax. Determine the item with the greatest percent increase in the price from last year. Be sure to include the percent increase for this time to the nearest percent.
Answer:
Step-by-step explanation:
The formula to approach this shall be:
( Final price - Initial price )/ Final price × 100/1 ............. 1
Hence for the snow shovels
Initial price = $241.50 for 7
Each will cost = $241.50/7
= $34.5
Final price for snow shovels
= $105.57 for 3 shovels
Each will cost = $105.57/3
= $35.19
Now considering the bags of salt
Initial price = $6.20 each
Final price = $39.06 for 6 bags
Each bag cost = $39.06/6
= $6.51
Now apply the formula in equation (1)
For snow shovels
($35.19- $34.5)/$34.5 × 100/1
= 0.69/34.5 × 100/1
= 0.02×100/1
= 2%
For bags of salt
($6.51-$6.20)/$6.20 ×100/1
0.31/6.20×100/1
0.05×100/1
= 5%
Hence from the above solution, we can now deduce that shovel increased by 2% while bags of salt went up by 5%.
13. The total cost of 3 equally-priced baseball caps is $48. How
much does a customer save by using a 15%-off coupon to buy
4 baseball caps?
A $21.60
B $9.60
C $7.20
D $2.40
Find the missing side of this right triangle 8 13
Answer: x = √105
Step-by-step explanation:
a² + b² = c²
8² + x² = 13²
64 + x² = 169
x² = 105
x = √105
Evaluate the expression 8.2(5)^2
Answer:
205
Step-by-step explanation:
5^2 = 25
8.2 * 25 = 205
wth ..
Answer:
205 hope this helps
Step-by-step explanation:
5^2= 25
8.2×25= 205 hope
variables describe the characteristics or attributes of the participants and cannot be manipulated is called ___
The term that describes variables that represent the characteristics or attributes of participants and cannot be manipulated is called "non-manipulated variables" or "non-experimental variables".
These variables are typically measured or observed as they naturally exist and are not intentionally changed or controlled by the researcher. Non-manipulated variables are often used in observational studies or correlational research designs where the focus is on examining relationships or associations between variables rather than establishing cause-and-effect relationships through experimental manipulation.
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After a 6-mg injection of dye into a heart, the readings of dye concentration at two-second intervals are as shown in the table. Use Simpson's Rule to estimate the cardiac output.
t c(t) t c(t)
0 0 14 4.7
2 1.9 16 3.3
4 3.3 18 2.1
6 5.1 20 1.1
8 7.6 22 0.5
10 7.1 24 0
12 5.8
Using Simpson's Rule, the cardiac output can be estimated by approximating the area under the curve formed by the dye concentration readings at two-second intervals.
Simpson's Rule is a numerical method used to approximate definite integrals by dividing the interval into subinterval and applying a weighted average of function values. In this case, we have the time (t) and dye concentration (c(t)) readings at two-second intervals.
To estimate the cardiac output, we need to find the integral of the concentration function over the given time interval. Simpson's Rule can be applied by dividing the interval into subintervals (in this case, 0-12 seconds) and using the given function values to calculate the approximate integral.
By applying Simpson's Rule to the given data, the cardiac output can be estimated by calculating the weighted average of the function values and multiplying it by the width of the subintervals.
Please note that since the table is incomplete, providing the exact calculation and result of the cardiac output is not possible without additional data.
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