The series converges for all values of p < -1, and diverges for all values of p ≥ -1.
To apply the Integral Test, we need to verify that the terms of the series are positive and decreasing for all n greater than some fixed integer. For this series, note that the terms are positive since both the base and the natural logarithm are positive. To show that the terms are decreasing, we take the ratio of successive terms:
[tex]a(n+1)/a(n) = [(n+1)ln(n+1)]^p / [nln(n)]^p[/tex]
[tex]= [(n+1)/n]^p * [(1+1/n)ln(1+1/n)]^p[/tex]
Since (n+1)/n > 1 and ln(1+1/n) > 0 for all n, it follows that the ratio is greater than 1 and therefore the terms are decreasing.
To use the Integral Test, we need to find a function f(x) such that f(n) = a(n) for all n and f(x) is positive and decreasing for x ≥ 3. A natural choice is [tex]f(x) = x(ln(x))^p[/tex]. Note that f(n) = a(n) for all n and f(x) is positive and decreasing for x ≥ 3. Then we have:
integral from 3 to infinity of f(x) dx = integral from 3 to infinity of x(ln(x))^p dx
To evaluate this integral, we use integration by substitution with u = ln(x):
[tex]du/dx = 1/x, dx = x du[/tex]
So the integral becomes:
integral from ln(3) to infinity of [tex]u^p e^u du[/tex]
This integral converges for p < -1, by the Integral Test for Improper Integrals.
Therefore, the series converges for all values of p < -1, and diverges for all values of p ≥ -1.
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A potato chip manufacturer produces bags of potato chips that are supposed to have a net weight of 326 grams. Because the chips vary in size, it is difficult to fill the bags to the exact weight desired. However, the bags pass inspection so long as the standard deviation of their weights is no more than 4 grams. A quality control inspector wished to test the claim that one batch of bags has a standard deviation of more than 4 grams, and thus does not pass inspection. If a sample of 27 bags of potato chips is taken and the standard deviation is found to be 5.3 grams, does this evidence, at the 0.05 level of significance, support the claim that the bags should fail inspection? Assume that the weights of the bags of potato chips are normally distributed.
Step 2 of 3: Compute the value of the test statistic. Round your answer to three decimal places.
The evidence at the 0.05 level of significance contradict claim that the bags should fail inspection.
We can use a one-tailed test with the null hypothesis that the standard deviation of the bags' weights is no more than 4 grams and the alternative hypothesis that the standard deviation is greater than 4 grams.
The test statistic for this hypothesis test is given by:
t = [tex]\frac{\frac{s}{\sqrt{n}}}{\frac{sigma}{\sqrt{n}}}[/tex]
where s is the sample standard deviation, n is the sample size, and sigma is the population standard deviation (which is assumed to be 4 grams).
Plugging in the given values, we get:
t = [tex]\frac{\frac{5.3}{\sqrt{27}}}{\frac{4}{\sqrt{ 27}}}[/tex] ≈ 1.325
Using a t-distribution table with 26 degrees of freedom (since we have a sample size of 27 and are estimating the population standard deviation), we can find the critical value for a one-tailed test at the 0.05 level of significance. The critical value is 1.705.
Since our calculated test statistic (1.325) is less than the critical value (1.705), we can support the null hypothesis and conclude that the bags of potato chips will not fail inspection.
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Region 1 Region 2 Region 3 Region 4
3.02 3.30 2.46 2.55
3.19 2.88 2.43 3.70
3.59 2.19 2.49 2.38
2.98 3.28 2.39 3.51
2.82 3.06 2.53 2.42
3.24 2.91 2.81 2.53
2.89 3.29 2.38 3.73
3.55 2.81 2.81 3.06
2.84 2.74
2.95
A local weather team is comparing the mean amount of snowfall (in inches) reported by viewers in four different regions of the city. Based on the data, can you conclude that there is a difference between the mean amount of snowfall for these four regions? Use a 0.050.05 level of significance and assume the population distributions are approximately normal with equal population variances.
Step 1 of 2 :
Compute the value of the test statistic. Round any intermediate calculations to at least six decimal places, and round your final answer to four decimal places.
Reject or Fail to
The critical F-value (3.098), we can reject the null hypothesis and conclude that there is a significant difference between the mean amount of snowfall for the four regions.
To learn
To test whether there is a significant difference between the mean amount of snowfall for the four regions, we can use a one-way ANOVA test. The null hypothesis for this test is that the mean amount of snowfall is the same for all four regions, while the alternative hypothesis is that at least one region has a significantly different mean amount of snowfall than the others.
To begin, we can calculate the sample means and sample standard deviations for each region:
Region 1: Mean = 3.10, SD = 0.283
Region 2: Mean = 3.00, SD = 0.418
Region 3: Mean = 2.57, SD = 0.182
Region 4: Mean = 3.09, SD = 0.499
Next, we can calculate the overall mean and overall variance of the sample data:
Overall mean = (3.10 + 3.00 + 2.57 + 3.09) / 4 = 2.94
Overall variance = (([tex]0.283^2[/tex] + 0.418^2 + [tex]0.182^2[/tex] + [tex]0.499^2[/tex]) / 3) / 4 = 0.00937
Using these values, we can calculate the F-statistic for the one-way ANOVA test:
F = (Between-group variability) / (Within-group variability)
Between-group variability = Sum of squares between groups / degrees of freedom between groups
Within-group variability = Sum of squares within groups / degrees of freedom within groups
Degrees of freedom between groups = k - 1 = 4 - 1 = 3
Degrees of freedom within groups = N - k = 20 - 4 = 16
Sum of squares between groups = (n1 * (x1bar - overall_mean)[tex]^2[/tex] + n2 * (x2bar - overall_mean)[tex]^2[/tex] + n3 * (x3bar - overall_mean)[tex]^2[/tex] + n4 * (x4bar - overall_mean)[tex]^2[/tex]) / (k - 1)
= ((9 * (3.10 - 2.94)[tex]^2[/tex] + 9 * (3.00 - 2.94)[tex]^2[/tex] + 7 * (2.57 - 2.94)[tex]^2[/tex] + 3 * (3.09 - 2.94)[tex]^2[/tex]) / 3
= 3.602
Sum of squares within groups = (n1 - 1) * s[tex]1^2[/tex] + (n2 - 1) * s[tex]2^2[/tex] + (n3 - 1) * s[tex]3^2[/tex] + (n4 - 1) * s[tex]4^2[/tex]
= (8 *[tex]0.283^2[/tex] + 8 * 0.[tex]418^2[/tex] + 6 * [tex]0.182^2[/tex] + 2 * [tex]0.499^2[/tex])
= 1.055
F = (Between-group variability) / (Within-group variability) = 3.602 / 1.055 = 3.415
We can then use an F-distribution table or calculator to find the critical F-value for a significance level of 0.05, with degrees of freedom between groups = 3 and degrees of freedom within groups = 16. The critical F-value is 3.098.
Since our calculated F-value (3.415) is greater than the critical F-value (3.098), we can reject the null hypothesis and conclude that there is a significant difference between the mean amount of snowfall for the four regions.
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What is the domain of the function in the graph?
The domain of the function shown in the graph is the one in option A:
6 ≤ k ≤ 11
What is the domain of the function in the graph?The domain of a function y = f(x) is the set of the inputs of the function. To identify the domain in a graph, we need to look at the horizontal axis (also called the x-axis).
On the graph we can see that it starts at x = 6 with a closed dot, and it ends at x = 11 also with a closed dot.
That means that these values belong to the domain, so we can write the domain as follows:
Domain = 6 ≤ k ≤ 11
(notice that the variable in the horizontal axis is k).
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In a certain city the temperature (in degrees Fahrenheit) t hours after 9am was approximated by the function T(t) = 30 + 19 sin (pit/12) Determine the temperature at 9 am. Determine the temperature at 3 pm. Find the average temperature during the period from 9 am to 9 pm
The average temperature during the period from 9am to 9pm is approximately 32.51 degrees Fahrenheit
To find the temperature at 9am, we can simply plug in t=0 into the given function:
T(0) = 30 + 19 sin(0) = 30
So the temperature at 9am is 30 degrees Fahrenheit.
To find the temperature at 3pm, we need to find the value of t that corresponds to 3pm. Since 3pm is 6 hours after 9am, we have t=6:
T(6) = 30 + 19 [tex]sin((pi/12)*6[/tex]) = 30 + 19 s[tex]in(pi/2)[/tex] = 30 + 19 = 49
So the temperature at 3pm is 49 degrees Fahrenheit.
To find the average temperature during the period from 9am to 9pm, we need to find the average value of the function T(t) over the interval [0,12]. We can use the formula for the average value of a function:
avg(T) = (1/(b-a)) * ∫[a,b] T(t) dt
In this case, a=0 and b=12, so we have:
avg(T) =[tex](1/12) * ∫[0,12] (30 + 19 sin(pit/12[/tex])) dt
Integrating term by term, we get:
avg(T) = (1/12)[tex]* (30t - (19/12) *[/tex] ([tex]12cos(pit/12[/tex])) |[0,12]
Evaluating the expression at t=12 and t=0, we get:
[tex]avg(T) = (1/12)[/tex] [tex]* (3012 - (19/12) * (12cos[/tex][tex](pi)) - (300 - (19/12) * (12cos(0))))[/tex]
Simplifying, we get:
[tex]avg(T) = (1/12) *[/tex] (360 + 38.13) = 32.51
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HELPPPPP!:
WHICH OF THE FOLLOWINGS ARE POLYNOMIAL EXPRESSION!:::-
A. 2x+3 B. 3y² - 2y + 4
C. a + 1/a D. root over 5x + 1
E. x²/2 - 3x + 7 F. root over x+2 - 3
NO NEED FOR EXPLANATION!!!
Answer:
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If x=2 and x=3 are roots of the equation 3x
2
−2kx+2m=0 then (k,m)=
Medium
Solution
verified
Verified by Toppr
Correct option is A)
Since x=2 and x=3 are roots of the equation 3x
2
−2kx+2m=0
⇒12−4k+2m=0⇒2k−m=6 ...(i)
and ⇒27−6k+2m=0⇒6k−2m=27 ...(ii)
On multiplying (i) by 3 and subtracting (ii) from it, we get
6k−3m=18
−
6
k
+
−
2m=
−
2
7
−m=−9
∴m=9
On putting m=9 in (i), we get
2k=15⇒k=
2
15
∴(k,m)=(
2
15
,9)
Hence, Option A is correct.
Answer:
A. 2x+3 and B. 3y² - 2y + 4 and E. x²/2 - 3x + 7 are polynomial expressions.
The table represents the function f (x) = 3x – 1. A 2-column table with 4 rows. Column 1 is labeled x with entries negative 5, negative 2, 4, 8. Column 2 is labeled f (x) with entries a, negative 7, b, c. Use the drop-downs to choose the values of a, b, and c to complete the table. a = b = 14 c =
The value of a= 17.5, b=-14 and c=-28.
What is function?
A function is represented as a rule that produces a distinct result for each input x. In mathematics, a function is indicated by a mapping or transformation
Given function:
f (x) = 3x – 1.
Also,
x f(x)
-5 a
-2 7
4 b
8 c
Now, using the proportionality
k = y/x
k = 7 / (-2)
k = -3.5
So, -3.5 = a/ (-5)
-3.5 x (-5) = a
a= 17.5
again, -3.5 = b/4
b= -14
Lastly, -3.5 = c/8
c= -28.
Hence, the value of a= 17.5, b=-14 and c=-28.
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Cases of UFO sightings are randomly selected and categorized according to season, with the results listed in the table. Use a 0.05 significance level to test a claim that UFO sightings occur in different seasons with the proportions listed in the table. Find the test statistic x² needed to test the claim.
A.11.472
B.11.562
C.2,212.556
D.7.815
Answer: D.
Step-by-step explanation:
Using a 0.05 significance level to test a claim that UFO sightings occur in different seasons with the proportions listed in the table the test statistic x² needed to test the claim is 11.562. The correct option is B.
To test the claim that UFO sightings occur in different seasons with the proportions listed in the table, we can use a chi-square goodness-of-fit test.
The null hypothesis is that the observed frequencies in each season are equal to the expected frequencies based on the proportions listed in the table.
The expected frequency for each season can be calculated by multiplying the total number of sightings by the proportion listed in the table. For example, the expected frequency for spring is:
Expected frequency for spring = Total number of sightings × Proportion for spring
= 420 × 0.25
= 105
Similarly, the expected frequencies for summer, fall, and winter are 126, 210, and 105, respectively.
The chi-square test statistic can be calculated as:
χ² = ∑ [(O - E)² / E]
where O is the observed frequency and E is the expected frequency.
Using the observed frequencies from the table and the expected frequencies calculated above, we get:
χ² = [(150-105)²/105] + [(120-126)²/126] + [(100-210)²/210] + [(50-105)²/105]
= 11.562
The degrees of freedom for the chi-square test is (number of categories - 1), which in this case is 4 - 1 = 3.
Using a chi-square distribution table with 3 degrees of freedom and a significance level of 0.05, the critical value is 7.815.
Since the calculated chi-square value (11.562) is greater than the critical value (7.815), we reject the null hypothesis and conclude that there is evidence of a difference in UFO sightings across seasons. Therefore, the test statistic x² needed to test the claim is 11.562.
The correct answer is (B) 11.562.
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1) Crunchy Critters produces bags of chips. The mean weight of the chips is 16 oz
with a standard deviation of 0.3 oz. What is the probability that a bag of chips is
less than 15.4 oz? (round to nearest hundredth)
If Crunchy-Critters produces chips bags with mean weight as 16 oz, the the probability that weight of the bag is less than 15.4 oz is 0.0228.
We use the standard normal distribution to find the required probability. First, we need to standardize the value of 15.4 oz using the formula : z = (x - μ) / σ,
where x is = value we are interested in, μ is = mean weight, σ is = standard deviation, and z is the standardized score.
The mean-weight of the chips is (μ) = 16 oz,
The standard-deviation of weight (σ) is 0.3 oz,
Substituting the values we have, we get:
⇒ z = (15.4 - 16)/0.3,
⇒ z = -2, and
We know that, P(X < 15.4) = P(Z < -2) = 0.0228
Therefore, the required probability is 0.0228 or 2.28%.
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Pls help!!
Geometry
(Look at photo)
The value of x is determined as 1.
What is the value of x?
The value of x is calculated by applying the principle of similar triangles.
length SR ≅ length ST
length TU ≅ length RU
We will have the following equation, to solve for the value of x;
TU/SU = RU/SU
TU = RU
x + 9 = 10x
9 = 10x - x
9 = 9x
9/9 = xy
1 = x
Thus, the value of x is calculated by applying the principle of similar triangle.
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A domestic manufacturer of watches purchases quartz crystals from a Swiss firm. The crystals are shipped in lots of 1000. The acceptance sampling procedure uses 20 randomly selected crystals.
a. Construct operating characteristic curves for acceptance criteria of 0, 1, and 2.
b. If p0 is .01 and p1 = .08, what are the producer’s and consumer’s risks for each sampling plan in part (a)?
The producer’s risk is 0.99 and the consumer’s risks for each sampling plan are 0.347, 0.049, and 0.176 for acceptance criteria 0, acceptance criteria 1, and acceptance criteria 2 respectively.
a. The operating characteristic curve (OC curve) shows the probability of accepting a lot with a given quality level, based on the sample size and acceptance criteria. Here are the OC curves for acceptance criteria of 0, 1, and 2, assuming a binomial distribution:
Acceptance Criteria = 0:
Sample size: 20
Probability of acceptance (p): 0.01
Probability of rejection (1-p): 0.99
OC Curve:
Quality Level (proportion defective) | Probability of acceptance
0% | 0.994
1% | 0.988
2% | 0.977
3% | 0.958
4% | 0.928
5% | 0.883
6% | 0.821
7% | 0.743
8% | 0.653
9% | 0.556
10% | 0.458
Acceptance Criteria = 1:
Sample size: 20
Probability of acceptance (p): 0.92
Probability of rejection (1-p): 0.08
OC Curve:
Quality Level (proportion defective) | Probability of acceptance
0% | 1.000
1% | 1.000
2% | 1.000
3% | 1.000
4% | 1.000
5% | 1.000
6% | 0.999
7% | 0.998
8% | 0.993
9% | 0.981
10% | 0.951
Acceptance Criteria = 2:
Sample size: 20
Probability of acceptance (p): 0.83
Probability of rejection (1-p): 0.17
OC Curve:
Quality Level (proportion defective) | Probability of acceptance
0% | 1.000
1% | 1.000
2% | 1.000
3% | 1.000
4% | 0.999
5% | 0.998
6% | 0.992
7% | 0.978
8% | 0.949
9% | 0.898
10% | 0.824
b. The producer's risk (Type I error) is the probability of rejecting a good lot, while the consumer's risk (Type II error) is the probability of accepting a bad lot. Here are the calculations for each sampling plan:
Acceptance Criteria = 0:
Producer's risk = α = 1 - p0 = 0.99
Consumer's risk = β = 1 - OC at p1 = 1 - 0.653 = 0.347
Acceptance Criteria = 1:
Producer's risk = α = 1 - p0 = 0.99
Consumer's risk = β = 1 - OC at p1 = 1 - 0.951 = 0.049
Acceptance Criteria = 2:
Producer's risk = α = 1 - p0 = 0.99
Consumer's risk = β = 1 - OC at p1 = 1 - 0.824 = 0.176
Note that the producer's risk is the same for all three sampling plans since it is based on the specified probability of a defective unit in the lot. The consumer's risk, however, varies depending on the acceptance criteria and sample size. Generally, a more lenient acceptance criterion (higher p-value) or a larger sample size will result in lower consumer risk.
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Braun's Berries is Ellen's favorite place to pick strawberries. This morning, she filled one of Braun's boxes with berries to make a homemade strawberry-rhubarb pie. The box is 10.5 inches long, 4 inches deep, and shaped like a rectangular prism. The box has a volume of 357 cubic inches.
Which equation can you use to find the width of the box, w?
What is the width of the box?
Answer:
357=10.5*4*x
8.5x
Step-by-step explanation:
357=10.5*4*x
357=42*x
8.5=x
Rewrite each of the following expressions without using absolute value.
|x−y| , if x
If an expression for x that does not use an absolute value is y, rewrite |x-y| as x - y.
It is the same as rearranging one expression to plug it into another expression when rewriting algebraic expressions using structure. Solving for one of the variables and then plugging the resulting expression for that variable into the other expression is the initial step to take in these kinds of issues.
Any mathematical statement that includes numbers, variables, and an arithmetic operation between them is known as an expression or algebraic expression. In the phrase 4m + 5, for instance, the terms 4m and 5 are separated from the variable m by the arithmetic sign +.
Here given :
|x−y| , if x then :
y, x - y is rewritten for |x−y|
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Correct Question:
Rewrite each of the following expressions without using absolute value.
1. |x−y| , if x
Roya paid $48 for 12 cartons of orange juice. What is the unit rate per carton of orange juice that roya paid for
Step-by-step explanation:
You are given $ and cartons and you want $/carton
$ 48 / 12 cartons = $ 4 / carton <====unit rate
Which equality statement is FALSE?
Responses
A −1 = −(−1)−1 = −(−1)
B 7 = −[−(7)]7 = −[−(7)]
C 1 = −[−(1)]1 = −[−(1)]
D −(−14) = 14
The equality statement is False (b) 7= -(-(7)).
The expression on the right side of the equation simplifies to -(-7), which is equal to 7, making the statement untrue. Therefore, 7=-(-7) should be used as the right equality declaration.
In other words, 7 is equal to the opposite of -(-7)
The area of mathematics known as algebra aids in the representation of circumstances or problems as mathematical expressions. Mathematical operations like addition, subtraction, multiplication, and division are combined with variables like x, y, and z to produce a meaningful mathematical expression.
The associative, commutative, and distributive laws are the three fundamental principles of algebra. They facilitate the simplification or solution of problems and aid in illustrating the connection between different number operations.
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here are seven boys and six girls in a class. the teacher randomly selects one student to answer a question. later, the teacher randomly selects a different student to answer another question. find the probability that the first student is a boy and the second student is a girl.
The probability that the first student is a boy and the second student is a girl is 7/26.
To answer your question, we'll need to calculate the probabilities for each event and then multiply them together.
Probability of selecting a boy first:
There are 7 boys and 13 students total (7 boys + 6 girls), so the probability is 7/13.
Probability of selecting a girl second:
After selecting a boy, there are now 12 students remaining (6 boys + 6 girls). The probability of selecting a girl is 6/12 (which simplifies to 1/2).
Now, multiply the probabilities together: (7/13) × (1/2) = 7/26
So, the probability that the first student is a boy and the second student is a girl is 7/26.
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A set of equations is given below:
Equation A: y = x + 1
Equation B: y = 4x + 5
Which of the following steps can be used to find the solution to the set of equations?
a
x + 1 = 4x + 5
b
x = 4x + 5
c
x + 1 = 4x
d
x + 5 = 4x + 1
The pdf of X is f(x) = 0.2, 1< x < 6.
(a) Show that this is a pdf(probability distribution function)
(b) Find the cdf F(x).
(c) Find P(2
(d) Find P(X>4).
(a) The function f(x) = 0.2, 1 < x < 6 is a probability distribution function (pdf) because it is non-negative for all x in its domain and the total area under the curve is equal to 1.
(b) The cumulative distribution function (cdf) F(x) for 1 < x < 6 is given by F(x) = 0.2(x-1), where F(x) = 0 for x ≤ 1 and F(x) = 1 for x ≥ 6.
(c) The probability P(2 < X < 4) is 0.4, which can be calculated by integrating the pdf f(x) = 0.2 over the interval [2, 4].
(d) The probability P(X > 4) is 0.6, which is obtained by subtracting the cumulative probability F(4) = 0.2(4-1) from 1.
(a) To show that f(x) = 0.2, 1 < x < 6 is a probability distribution function (pdf), we need to show that:
f(x) is non-negative for all x in its domain: f(x) = 0.2 is non-negative for all x between 1 and 6.
The total area under the curve of f(x) is equal to 1:
∫1^6 0.2 dx = 0.2(x)|1^6 = 0.2(6-1) = 1
Since both conditions are satisfied, f(x) is a pdf.
(b) The cumulative distribution function (cdf) F(x) is given by:
F(x) = ∫1^x f(t) dt
For 1 < x < 6, we have:
F(x) = ∫1^x 0.2 dt = 0.2(t)|1^x = 0.2(x-1)
For x ≤ 1, F(x) = 0, and for x ≥ 6, F(x) = 1.
(c) P(2 < X < 4) is given by:
P(2 < X < 4) = ∫2^4 f(x) dx = ∫2^4 0.2 dx = 0.2(x)|2^4 = 0.4
(d) P(X > 4) is given by:
P(X > 4) = 1 - P(X ≤ 4) = 1 - F(4) = 1 - 0.2(4-1) = 0.6
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An angle measures 83.6° more than the measure of its complementary angle. What is the measure of each angle?
The angle is 86.8 degrees and its complement is 3.2 degrees.
let x be the angle and y be the Complementary angle.
If the angles are complementary, then their sum is 90 degrees.
x + y = 90................(1)
and, the angle measures 83.6 degrees more than its complement.
x = y + 83.6
y + 83.6 + y = 90
Solving the equation for y we get
2y + 83.6 = 90
2y = 90 - 83.6
2y = 6.4
y= 3.2
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7. Maryam purchased a blanket for her mom
from a local department store that was
having a sale. The blanket was offered at
20% off of its original listed price of $26.
How much did Maryam have off of the
original price?
Negative three times a number plus seven is greater than negative 17.
Answer:
-3 times n+7>-17
Step-by-step explanation:
While on vacation at the beach, Eleanor drew the figure shown.
In Eleanor's drawing, the measure of
∠
F
M
D
is 15°, and the measure of
∠
B
M
C
is 30°.
What is the measure of
∠
C
M
D
?
The measure of the angle ∠CMD is 45.
We have,
From the figure,
∠FMD = 15
∠BMC = 30
Now,
∠BMF = 90
This can be written as,
∠BMC + ∠CMD + ∠FMD = 90
30 + ∠CMD + 15 = 90
∠CMD = 90 - 45
∠CMD = 45
Thus,
The measure of the angle ∠CMD is 45.
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Find a parametrization of the surface with equation (y2 + 1)e^z – (z^2 + 1)e^x + y^2z^2e^y = 0.
The surface with equation (y^2 + 1)e^z – (z^2 + 1)e^x + y^2z^2e^y = 0 can be parametrized as follows 1:
x = u
y = v
z = ln((v^2 + 1) / (u^2 + 1))
Parametrization of a surface is a mathematical technique used to describe a surface in terms of parameters. It involves expressing the coordinates of points on the surface as functions of two or more parameters. A common way to parametrize a surface is to use two parameters u and v to represent the coordinates of points on the surface. This is called a parametric representation or a parametric equation of the surface. Another way to parametrize a surface is to use a vector-valued function, which maps a point in a domain onto a point on the surface. Both of these techniques allow us to describe the surface in a way that is useful for mathematical analysis and visualization.
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What is the probability of getting a soft chicken taco? 2) What is the probability of getting a crunch beef taco?
3 What is the probability of getting a fish taco (crunchy or soft)?
(1) The probability of getting a soft chicken is 16.67%.
(2) The probability of getting a crunch beef is 16.67%.
(3) The probability of getting a fish (crunchy or soft) is 33.33%.
What is the probability of getting a soft chicken?The probability of getting a soft chicken is calculated as follows;
total outcome = 6
number of soft chicken = 1
Probability = 1/6 = 16.67%
The probability of getting a crunch beef is calculated as follows;
total outcome = 6
number of crunch beef = 1
Probability = 1/6 = 16.67%
The probability of getting a fish (crunchy or soft) is calculated as follows;
total outcome = 6
number of soft fish = 1
number of crunch fish = 1
P(soft or crunch) = 1/6 + 1/6 = 2/6 = 1/3 = 33.33%
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Calculate the energy (in eV/atom) for vacancy formation in some metal, M, given that the equilibrium number of vacancies at 317oC is 6.67 × 1023 m-3. The density and atomic weight (at 317°C) for this metal are 6.40 g/cm3 and 27.00 g/mol, respectively.
The energy for vacancy formation per atom in the metal M is 0.91 eV/atom.
To calculate the energy (in eV/atom) for vacancy formation in the metal M, we can use the following formula:
E_v = RT * ln(N_v/N)
Where:
- E_v is the energy for vacancy formation per atom
- R is the gas constant (8.314 J/mol*K or 0.008314 eV/mol*K)
- T is the temperature in Kelvin (317°C = 590K)
- N_v is the equilibrium number of vacancies (6.67 × 10^23 m^-3)
- N is the number of atoms per unit volume, which can be calculated using the density and atomic weight of the metal as follows:
N = (6.40 g/cm^3) * (1 mol/27.00 g) * (6.022 × 10^23 atoms/mol) = 1.51 × 10^22 atoms/m^3
Plugging in these values, we get:
E_v = (0.008314 eV/mol*K) * (590 K) * ln(6.67 × 10^23 m^-3 / 1.51 × 10^22 atoms/m^3)
E_v = 0.91 eV/atom
Therefore, the energy for vacancy formation per atom in the metal M is 0.91 eV/atom.
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Let A ∈ R^nxn and let C ∈ R^nxm. Prove the following: (1) Assume A is positive semidefinite. Show that tr A=0 if and only if A = 0. (2) When m
Let A ∈ R^(nxn) and let C ∈ R^(nxm). We will prove the following:
(1) Assume A is positive semidefinite. We need to show that tr(A) = 0 if and only if A = 0.
Proof:
(i) If A = 0, then tr(A) = 0 since the trace of the zero matrix is 0.
(ii) Assume tr(A) = 0. Recall that A is positive semidefinite, which means that its eigenvalues are non-negative. Since the trace of a matrix is the sum of its eigenvalues, having tr(A) = 0 implies that all eigenvalues of A must be zero. Consequently, A is a diagonal matrix with all diagonal elements equal to 0. Therefore, A = 0.
Thus, we have shown that tr(A) = 0 if and only if A = 0.
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Problem 83 please help me
The rule for the nth term of the geometric sequence is given as follows:
[tex]a_n = 2^n[/tex]
Hence the 10th term of the sequence is given as follows:
1024.
What is a geometric sequence?A geometric sequence is a sequence of numbers where each term is obtained by multiplying the previous term by a fixed number called the common ratio q.
The explicit formula of the sequence is given as follows:
[tex]a_n = a_0q^{n}[/tex]
In which [tex]a_0[/tex] is the first term.
The parameters in this problem are given as follows:
First term of 1.Common ratio of 2, as when the input increases by one, the output is multiplied by 2.Hence the rule is given as follows:
[tex]a_n = 2^n[/tex]
Hence the 10th term of the sequence is given as follows:
2^10 = 1024.
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Find the area of polygon A
A: 4
B: 160
C: 80
D: 20
What is the distance between (3,-4) and (6,9)?
use the distance formula
A. 5.83
B. 7.47
C. 10.25
D. 13.34
Answer:
D. 13.34
Step-by-Step Explanation:
distance formula
[tex]d=\sqrt{(x2-x1)^2 +(y2-y1)^2} \\d=\sqrt{(6-3)^2 +(9-(-4))^2} \\d=\sqrt{178}[/tex]
Suppose the scores on a Algebra 2 quiz are normally distributed with a mean of 79 and a standard deviation of 3. Which group describes 16% of the population of Algebra 2 quiz scores?
The group described by 16% of the population is 73.
What is the group describes 16% of the population?
For a normal distribution curve, the population are often divided into 2% below the mean, 14 % below the mean, 34% below the mean, the mean, 34% above the mean, 16% above the mean and 2 % above the mean.
for 34% below the mean, the population = M - 1std
for 16% below the mean, the population = M - 2std
So the population represented by 16% is calculated as follows;
= M - 2std
where;
M is the meanstd is standard deviation= 79 - 2 (3)
= 79 - 6
= 73
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Enter the length of curve DE, given the curve is 5% longer than line segment AB.
The length of curve DE is equal to 26.25 units.
What is Pythagorean theorem?In Mathematics and Geometry, Pythagorean's theorem is modeled by the following mathematical expression:
x² + y² = z²
Where:
x, y, and z represents the length of sides or side lengths of any right-angled triangle.
In order to determine the length of the hypotenuse in this right-angled triangle, we would have to apply Pythagorean's theorem as follows;
AC² + BC² = AB²
20² + 15² = AB²
AB² = 400 + 225
AB = √625
AB = 25 units.
For the length of curve DE, we have:
DE = 105% of AB
DE = 1.05 × 25
DE = 26.25 units.
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