The MGF of Y using the fact that Y = μ + oZ where Z ~ N(0, 1) is e^(tμ + t²/2).
The MGF of Y is given by,
E[exp(tY)] = E[exp(t(μ+Z))]
We know that if X is a normal random variable, X~N(μ, σ²) with μ as the mean and σ² as the variance.
The MGF of X is given by,
MGF_X(t) = E[e^(tx)] = e^(μt + (σ²t²)/2)
Here, Y ~ N(μ, 2) we have Y = μ + oZ where Z ~ N(0, 1)
MGF_Y(t) = E[exp(tY)] = E[exp(t(μ+Z))]MGF_
Y(t) = E[e^(tμ+tZ)]MGF_
Y(t) = e^(tμ) E[e^(tZ)]
We know that the MGF of Z is already derived in the lecture 1,
It is MGF_Z(t) = e^(t²/2)MGF_
Y(t) = e^(tμ) e^(t²/2)MGF_
Y(t) = e^(tμ + t²/2)
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Given information is that Y~ N(μ, 2), let's find the MGF of Y using the fact that Y = μ + oZ where Z~ N(0, 1).
The MGF of Y becomes:
MGF of [tex]Y = e^{t} \mu+ MGF\ of\ o \times e^{((t^2)/2)}[/tex]
Hence, the MGF of Y is [tex]e^{t}\mu + MGF\ of\ o \times e^{((t^2)/2)}[/tex].
The MGF of Y is as follows:
MGF of Y = MGF of μ + MGF of oZ
The MGF of Y = MGF of μ + MGF of oMGF of Z
Since the mean of Y is μ, we can substitute the above equation with the following:
[tex]MGF\ of\ Y = e^{t}\mu + MGF\ of\ oMGF\ of\ Z[/tex]
Now let's find the MGF of Z: We know that the MGF of Z is given by;
MGF of [tex]Z = e^{((t^2)/2)}[/tex]
Therefore, the MGF of Y becomes: MGF of [tex]Y = e^{t}\mu + MGF\ of\ o \times e^{((t^2)/2)}[/tex]
Hence, the MGF of Y is [tex]e^{t}\mu + MGF\ of\ o \times e^{((t^2)/2)}[/tex].
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a steady wind blows a kite due west. the kite’s height above ground from horizontal position x − 0 to x − 80 ft is given by y − 150 2 1 sx 2 50d2. find the distance trav eled by the kite.
The equation y = 150 - 0.01x^2 represents the height of the kite above the ground as a function of its horizontal position x. The kite travels a distance of 80 ft.
The equation y = 150 - 0.01x^2 represents the height of the kite above the ground as a function of its horizontal position x. This is a downward-opening parabola, with the vertex at (0, 150) and the axis of symmetry along the y-axis.
To find the distance traveled by the kite, we need to determine the range of x over which the kite is flying. In this case, the range is from x = 0 to x = 80 ft.
The distance traveled by the kite is the difference between the initial and final positions of x. In this case, it is 80 - 0 = 80 ft.
Therefore, the kite travels a distance of 80 ft.
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solve the point A and B A) The region bounded above by the parabolay = 3x-x2 and y = 0 is rotated around a vertical line x=-1 forming a solid, find its volume Note: When performing the step-by-step procedures used and the method used to find the volumen ex B) = Given the following function which is one to one f(x) = ex/1-eX Find its inverse; You must keep in mind the processes of factoring, properties of exponents, logarithmic properties, and so on. Check if it is indeed its inverse, for this you can do it algebraically or graphically
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A. The volume of the solid formed by rotating the region bounded above by the parabola y = 3x-x² and y = 0 around the vertical line x = -1 is approximately 9.74 cubic units and B. The inverse function is found to be ln(x/(1 - x)).
To find the volume of the solid, we can use the method of cylindrical shells. The integral for the volume is given by V = ∫[a,b] 2πxf(x) dx, where f(x) represents the height of the shell at each x-coordinate.
First, we need to find the bounds of integration. The parabola y = 3x - x² intersects the x-axis at x = 0 and x = 3. Therefore, the bounds of integration are [0, 3].
Next, we need to express the height of the shell, f(x), in terms of x.
Evaluating the integral, we get V = ∫[0,3] 2π(x + 1)(3x - x²) dx. After integrating and simplifying, the volume is approximately 9.74 cubic units.
(B) To find the inverse of the function f(x), we swap the roles of x and y and solve for y. So, we start with y = eˣ/(1 - eˣ).
Step 1: Swap x and y: x = eʸ/(1 - eʸ).
Step 2: Solve for y: x(1 - eʸ) = eʸ.
Step 3: Expand and isolate eʸ: x - xeʸ = eʸ.
Step 4: Factor out eʸ: eʸ(x - 1) = x.
Step 5: Divide both sides by (x - 1): eʸ = x/(x - 1).
Step 6: Take the natural logarithm of both sides: y = ln(x/(x - 1)). Thus, the inverse function is g(x) = ln(x/(x - 1)), where x ∈ (0, 1).
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Complete question - A. The region bounded above by the parabola y = 3x-x2² and y = 0 is rotated around a vertical line x=-1 forming a solid, find its volume.
B. Given the following function which is one to one f(x) = eˣ/1-eˣ Find its inverse.
OK IF YOU KNOW THE ANSWER PLEASE TYPE IN COMMENTS!
Timothy has 2 turtles named Buster and Bubbles. Buster is 75 millimeters long and Bubbles is 6 centimeters long. Buster is longer. Is this true or false?
Group of answer choices
1.True
1.False
Answer: True
Explanation:
1 centimeter = 10 millimeters
Buster = 75 millimeters long
Bubbles = 60 millimeters long
What is the measure of the other acute angle
Answer:
77 degrees
Step-by-step explanation:
All triangle add up to 180 degrees and right triangle all have one angle that is 90 degrees so 90 + 14 is 104 and 180 - 104 is 77.
Answer:
76 degrees
Step-by-step explanation:
What we know:
1. the triangle is a right triangle, meaning on angle has to be 90 degrees
2. One angle is 14 degrees
3. A triangle's angles add up to 180 degrees.
----------------------------------------------------------------------------------------------------
90+14+x=180
104+x=180
x=76
Which of the following graphs best represents a function that has a minimum value and x-intercepts of 3 and -1?
Answer:
a
Step-by-step explanation:
The Massachusetts state lottery game, Cash WinFall, used to have a way that anyone with enough money and time could stand a good chance of getting rich, and it is reported that an MIT computer scientist did just that. In this game, a player picks 6 numbers from the range from 1 to 46. If he matches all 6, then he could win as much as $2 million, but the odds of that payout don't justify a bet, so let us ignore the possibility of winning this jackpot. Nevertheless, there were times when matching just 5 of the 6 numbers in a $2 lottery ticket would pay $100,000. Suppose in this scenario that you were able to bet $600,000.
(a) What is the expected amount that you would win?
(b) Derive a bound on the probability that you would lose $300,000 or more in this scenario, that is, that you would have 3 or fewer of the 5 of the 6 winning tickets.
The expected amount that you would win is approximately $0.334891, and the probability of losing $300,000 or more is approximately 0.00030986749 (or 0.030986749%).
To calculate the expected amount that you would win in this scenario, we need to consider the probabilities of various outcomes and their corresponding winnings.
(a) Expected Amount of Winnings:
Let's calculate the expected amount by considering the probabilities and winnings for different outcomes:
- Probability of matching exactly 5 out of 6 numbers:
The probability of matching 5 numbers correctly is given by the combination formula:
P(5) = C(6, 5) * C(40, 1) / C(46, 6) = 0.00000096739
The corresponding winnings are $100,000.
- Probability of matching exactly 4 out of 6 numbers:
The probability of matching 4 numbers correctly is given by the combination formula:
P(4) = C(6, 4) * C(40, 2) / C(46, 6) = 0.0000186101
The corresponding winnings are $5,000.
- Probability of matching exactly 3 out of 6 numbers:
The probability of matching 3 numbers correctly is given by the combination formula:
P(3) = C(6, 3) * C(40, 3) / C(46, 6) = 0.000290201
The corresponding winnings are $500.
Now, let's calculate the expected amount:
Expected Amount = (P(5) * $100,000) + (P(4) * $5,000) + (P(3) * $500)
Expected Amount = (0.00000096739 * $100,000) + (0.0000186101 * $5,000) + (0.000290201 * $500)
Expected Amount = $0.096739 + $0.093051 + $0.145101
Expected Amount = $0.334891
Therefore, the expected amount that you would win is approximately $0.334891.
(b) Probability of Losing $300,000 or More:
To derive a bound on the probability of losing $300,000 or more, we need to calculate the cumulative probability of having 3 or fewer of the 5 winning tickets.
Cumulative Probability = P(3) + P(4) + P(5)
Cumulative Probability = 0.000290201 + 0.0000186101 + 0.00000096739
Cumulative Probability = 0.00030986749
Therefore, the bound on the probability of losing $300,000 or more is approximately 0.00030986749, which is equivalent to 0.030986749%.
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I need this answer I’ll give brainliest
Which of the following equations is represented by a line passing through (-9, 7) and (3, 3) in the
standard (x, y) coordinate plane?
Answer:
y = -1/3x + 4
Step-by-step explanation:
(-9, 7) and (3, 3)
Slope:
m=(y2-y1)/(x2-x1)
m=(3-7)/(3+9)
m=(-4)/12
m= -1/3
Slope-intercept:
y - y1 = m(x - x1)
y - 7 = -1/3(x + 9)
y - 7 = -1/3x - 3
y = -1/3x + 4
Step-by-step explanation:
[tex]soln \\ \frac{3 - 7 }{3 - - 9} \\ = \frac{ - 4}{ - 12} \\ = \frac{1}{3 } \\ \frac{y - 7}{x - 3} = \frac{1}{3} \\ then \: you \: cross \: multiplication. \\ 3(y - 7) = 1(x - 3) \\ 3y - 7 = x - 3 \\ 3y = x - 3 + 7 \\ 3y = x + 4 \\ \frac{3y}{3} = \frac{x}{3} + \frac{4}{3} \\ y = \frac{x}{3} + \frac{4}{3} [/tex]
Help please please help help please help!!!
Answer:
standard
Step-by-step explanation:
MULTIPLICACIÓN Y DIVISIÓN DE NÚMEROS ENTEROS
11. -2115 ÷ -9 =
12. 7854 ÷ -34
13. 3425 × -4 =
14. -7 × 5 × -3 =
15. 12 × -7 × 9 =
Select the graph of the solution. Click until the correct graph appears. {x | x < 4} ∩ {x | x > -2}
Answer:
It converges
Step-by-step explanation:
dx/dy = x∧4 + 9x∧21
f(x) = ∫(x∧4 + 9x∧21)dy 0 > f(x) > ∞
= x∧5/5 + 9x∧22/22 + c
x = ∞ and x = 0
∴ c = 1 /5 + 9/22 = 27/22
I need help with this answer . Please help . (This is timed!!)
Answer: Its A
Step-by-step explanation: Just count the lines and since there is 8 lines it would be ?/8 so we going to count up until the dot which stops at 3 soo it would be 3/8
Rob bought a hat and 3 shirts for $35. Dan bought 2 hats and a shirt for $20.
Which system of equations can be used to find s , the cost of one shirt, and h , the cost of one hat?
Answer:
1 shirt costs $11.2 1 hat costs $10.
Step-by-step explanation:
35 divided by 3
20 divided by 2
⚠️⚠️⚠️⚠️help⚠️⚠️⚠️⚠️
is 0.2857 a rational number?Explain
Answer:
0.2857 is not a rational number.
Step-by-step explanation:
Because rational numbers have to be greater than 1. Decimals are not over 1 so it is not a rational number. Your welcome!
There are three candidates for student council secretary: Greg, Brittany, and Eliza. There are also three candidates for treasurer: Trey, Fabian, and Paulina. An experiment using two dice is conducted to simulate the probability of Greg or Fabian being elected. The first die represents the secretary election. The numbers 1 and 2 represent Greg winning, 3 and 4 represent Brittany winning, and 5 and 6 represent Eliza winning. The second die represents the treasurer election. The numbers 1 and 2 represent Trey winning, 3 and 4 represent Fabian winning, and 5 and 6 represent Paulina winning. The experiment was performed eight times, and the results are recorded in the following table.Based on the simulation, what is the probability that Greg or Fabian will win the election?
Answer:
5/8
Step-by-step explanation:
I have the same problem and this answer was correct.
The table shows the number of games a team won and lost last season with a ratio of win to loss as 3:2. Therefore the tool most appropriate for use is a 5-section spinner with congruent sections, 3 representing a win and 2 representing a loss.
What is ratio?Ratio, in math, is a term that is used to compare two or more numbers. It is used to indicate how big or small a quantity is when compared to another. In a ratio, two quantities are compared using division.
here, we have,
To calculate a win-to-loss ratio, divide the number of wins by the number of losses.
According to the given data:
Greg is creating a simulation, using previous year’s wins and losses, to foretell the team's conclusion.
Wins in the last season = 24
losses in the last season = 16
Ratio of wins and losses = 24:16 = 3:2
Chances of the team winning out of 5 matches is 3 and losing is 2.
The device which is most suitable for application in a simulation that implements the data is a 5-section spinner with congruent sections, 3 representing a win and 2 representing a loss.
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complete question:
the table shaws the number of games a team won and lost last season. Wins and losses last season number of games wins 24 losses 16 greg has tickets to six of the team’s games this season. He is designing a simulation, using last year’s wins and losses, to predict whether the team will win or lose each of the games he attends. Which tool is most appropriate for use in a simulation that fits the data?
1 a coin with one side representing a win and the other representing a loss
2 a 6-section spinner with congruent sections, 4 representing a win and 2 representing a loss
3 a 5-section spinner with congruent sections, 3 representing a win and 2 4representing a loss an 8-sided die with 5 sides representing a win and 3 sides representing a loss
Question 4 - (5+5=10 marks) [For probabilities keep 4 decimal places]
Fifty boxes labeled with numbers from 1 to 50 are laid on a table. In each box there is a blue ball and a red ball. Since a blue ball is bigger than a red ball, we should assume the chance of randomly drawing a blue ball from any box is twice that of a red ball. From each box that you randomly choose, you draw only one ball randomly, without looking into the box or at the drawn ball. Right after a ball is drawn, its corresponding box is moved away from the table to avoid choosing the same box again. You continue this process until 25 boxes are chosen.
a) What is the probability of drawing 17 red balls and 8 blue balls from boxes with even numbered labels? (5 marks)
b) If accidentally you see the fifth ball after being drawn is red, what would be the probability of drawing 17 red balls and 8 blue balls, everything else being the same as mentioned above in the statement of problem. (5 marks)
a) The probability of drawing 17 red balls and 8 blue balls from boxes with even-numbered labels is 0.0051.
b) The probability of drawing 17 red balls and 8 blue balls from boxes with even-numbered labels, given that the fifth ball drawn was red, is 0.1926.
a) The probability of drawing 17 red balls and 8 blue balls from boxes with even-numbered labels can be calculated as follows:
P(drawing 17 red balls and 8 blue balls from boxes with even-numbered labels) = (C(25, 17) × C(25, 8)) / C(50, 25)
= (12620256 / 2462624626080)
= 0.0051 (approx)
Therefore, the probability of drawing 17 red balls and 8 blue balls from boxes with even-numbered labels is 0.0051 (approx).
b) If accidentally, you see the fifth ball after being drawn is red, then the corresponding box will be removed, and there are now 49 boxes remaining on the table.
The number of even-numbered boxes among these 49 boxes is 24.
Therefore, the probability of drawing 17 red balls and 8 blue balls from boxes with even-numbered labels, given that the fifth ball drawn was red, can be calculated as follows:
P(drawing 17 red balls and 8 blue balls from boxes with even-numbered labels, given that the fifth ball drawn was red)
= (C(24, 16) × C(25, 7)) / C(49, 23)
= (8751600 / 45379690908)
= 0.1926 (approx)
Therefore, the probability of drawing 17 red balls and 8 blue balls from boxes with even-numbered labels, given that the fifth ball drawn was red, is 0.1926 (approx).
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The weight of one serving of trail mix is 2.5 ounces. How many servings are there in 22.5 ounces of trail mix?
9.0
25.0
11.5
56.25
Answer:
9 servings
There should be an answer to that. Answer: There are 9 servings. step- by- step Explanation: We would first divide 22.5/2.5. This will give us the amount of time 2.5 will go into 22.5, providing us with the amount of servings
Step-by-step explanation:
Can someone help me with this. Will Mark brainliest. Need answer and explanation/work. Thank you.
Answer:
-2x+2
Step-by-step explanation:
it is directly underneath the original equation and they never intersect
what's the answer to this?
Answer:
126 yds will be your answer.
Step-by-step explanation:
30+(24+24)+4+2+(3+3)+(4+30+2)=126
just add all of the sides up.
HELP PLEASE!!!
The bear population in Canada was 380,000 in the year 2015, and environmentalists think that the population is increasing at a rate of 2.5% per year.
Consider the function that represents the exponential growth of the bear population in Canada.
Part A: Defines a variable for the function and state what the variable represents.
Part B: What is a reasonable domain for the situation?
Part C: Write the function that represents the exponential growth of the bear population.
Part D: What will the bear population estimated to be in 2050?
Answer:
The population of Bear in 2050 is 4750000
Step-by-step explanation:
A) The exponential growth equation for bear is as follows -
dN/dT = rmax * N
Where dN/dT = change in population
rmax is the maximum rate of change
N = Base population
B) Here the per capita rate of increase (r) will always be a positive value irrespective of the and hence we will assume this population to be growing exponentially.
C) dN/dT = rmax * N
D) dN / 5 = 2.5 * 380,000
dN = 5*2.5 * 380000
= 4750000
sorry if it’s too blurry but i need help with this
HELP IM GONNA GIVE YOU A BRAINLEST!!!
Without graphing, determine whether the function represents exponential
growth or exponential decay. Then find the y-intercept.
y=2/3 (1/2)^x
Answer:
y intercept is (0, 2/3)
Step-by-step explanation:
the y-inetercept is 0
i don’t know the exponential
growth or exponential decay but you can use math.way to help you answer the question
Sao can text 1500 words per hour. He needs to text a message with 85 words. He only has 5 minutes between classes to complete the text. Can he do it in 5 minutes?
Geographic information systems can assist the location decision by:
A updating transportation method solutions.
B. computerizing factor-rating analysis.
C. automating center-of-gravity problems
D. combining geography with demographic analysis.
E. providing good Internet placement for virtual storefronts.
GIS can assist in location decision-making by combining geography with demographic analysis, automating center-of-gravity problems, providing spatial data for transportation planning, enhancing factor-rating analysis with spatial considerations, and indirectly informing Internet placement for virtual storefronts.
Geographic Information Systems (GIS) can assist in location decision-making by combining geography with demographic analysis (D). GIS technology enables the integration and analysis of various spatial data, including demographic information such as population density, income levels, and consumer behavior.
By overlaying geographic data with demographic data, decision-makers can gain valuable insights into the characteristics and preferences of target markets, helping them identify suitable locations for their businesses.
GIS can automate center-of-gravity problems (C) by applying spatial analysis techniques to determine optimal locations based on factors such as customer demand, transportation networks, and supply chain considerations.
By utilizing GIS, businesses can identify central points or distribution hubs that minimize transportation costs and maximize accessibility to target markets.
While GIS doesn't directly update transportation method solutions (A), it can provide valuable spatial data and analysis that inform transportation planning. This includes mapping and visualizing existing transportation infrastructure, identifying traffic patterns, and optimizing routes for efficient logistics.
Although GIS doesn't computerize factor-rating analysis (B) per se, it can enhance this process by providing a spatial dimension. Factor-rating analysis involves evaluating potential locations based on multiple factors such as cost, labor availability, and market proximity. GIS can incorporate spatial data, such as the proximity of suppliers or competitors, into the factor-rating analysis, enabling more informed decision-making.
GIS may indirectly contribute to providing good Internet placement for virtual storefronts (E). By analyzing factors such as population density, internet infrastructure, and connectivity patterns, GIS can help businesses identify areas with a high potential for online customer engagement. However, the direct responsibility of Internet placement lies more within the realm of network infrastructure and internet service providers.
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In a large population of college-educated adults, the mean IQ is 112 with standard deviation 25. Suppose 30 adults from this population are randomly selected for a market research campaign. The probability that the sample mean IQ is greater than 115 is 0.019 b.0.256 c 0.461. d.0.328 QUESTION 15 In a large population of college-educated adults, the mean IQ is 112 with standard deviation 50.62. Suppose 30 adults from this population are randomly selected for a market research campaign. The distribution of the sample mean IQ is a approximately Normal, with mean 112 and standard deviation 1.44). bapproximately Normal, with mean 112 and standard deviation 4.564. c approximately Normal, with mean 112 and standard deviation 9.241. Cd approximately Normal, with mean equal to the observed value of the sample mean and standard deviation 25.
The correct answer is:
D. 0.981.
To calculate the probability that the sample mean IQ is greater than 115, we need to use the concept of sampling distribution and the central limit theorem.
Given:
Population mean (μ) = 112
Population standard deviation (σ) = 25
Sample size (n) = 300
The mean of the sampling distribution of the sample means (μx) will be the same as the population mean (μ) which is 112.
The standard deviation of the sampling distribution (σx) can be calculated using the formula:
σx = σ / √(n)
Plugging in the values:
σx = 25 / √(300)
≈ 1.443
Now, we can use the z-score formula to standardize the sample mean:
z = (x - μx) / σx
where x is the sample mean.
Plugging in the values:
z = (115 - 112) / 1.443
≈ 2.08
Next, we need to find the probability that the standardized sample mean (z) is greater than 2.08.
This can be done by looking up the z-score in the standard normal distribution table or by using a calculator or statistical software.
Using a standard normal distribution table or calculator, we find that the probability associated with a z-score of 2.08 is approximately 0.981.
Therefore, the correct answer is:
D. 0.981.
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Chapter 07, Problem 075 (See Fluids in the News article titled Ice engineering.) A model study is to be developed to determine the force exerted on bridge piers due to floating chunks of ice in a river. The piers of interest have square cross sections. Assume that the force, R, is a function of the pier width, b, the depth of the ice, d, the velocity of the ice, V, the acceleration of gravity, g, the density of the ice, rho, and a measure of the strength of the ice, Ei, where Ei has the dimension FL-2. (a) Based on these variables determine a suitable set of dimensionless variables for this problem 2 d gd E,b, b, gb、 E, (b) The prototype conditions of interest include an ice thickness of 12 in. and an ice velocity of 11 ft/s. What model ice thickness and velocity would be required if the length scale is to be 1/21? in FRI (c) If the model and prototype ice have the same density can the model ice have the same strength properties as that of the prototype ice? nswer- the tolerance is +/-2% Answer * 2: the tolerance is +/-2%
(a) Using these variables, the dimensionless variables that can be used for this problem are as follows:2d/gdgb/EiE/b
(b) If the density is the same, the model ice can have the same strength properties as that of the prototype ice.
(a) The suitable set of dimensionless variables for this problem includes: g, the acceleration of gravityd, depth of the iceb, pier width Ei, the strength of the ice ρ, density of the ice
Using these variables, the dimensionless variables that can be used for this problem are as follows:2d/gdgb/EiE/b
(b) Given that the length scale is 1/21, and prototype ice thickness and velocity are 12 in. and 11 ft/s, respectively.
We can determine the model ice thickness and velocity using the length scale as follows:
For ice thickness, Model ice thickness = Prototype ice thickness × Length scale= 12 in. × (1/21)= 0.571 in.
For ice velocity, Model ice velocity = Prototype ice velocity × (Length scale)-0.5= 11 ft/s × (1/21)-0.5= 0.765 ft/s≈ 0.77 ft/s(c)
The model ice can have the same strength properties as the prototype ice if their strengths are identical, although the densities are the same.
Therefore, if the density is the same, the model ice can have the same strength properties as that of the prototype ice.
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Find the sum. 5+ 8 + 11 + ... + 122 The sum is 1. a ) (Type an integer or a simplified fraction.)
The sum of the Arithmetic Progression 5 + 8 + 11 + ... + 122 is 2540.
Here we are given to find the sum of 5 + 8 + 11 + ... + 122
Here we can see that this is an Arithmetic Progression with the first term as 5 and the common difference as
second term - first term
= 8 - 5
= 3
Here we need to find the sum from 5 to 122
now, we know that for any term
aₙ = a + (n - 1)d
where,
a = first term
d = common difference
hence putting aₙ as 122 we get
5 + (n - 1)3 = 122
or, 5 + 3n - 3 = 122
or, 3n + 2 = 122
or, 3n = 120
or, n = 40
Hence, we need to find the sum of the first n terms
we know that the sum S is
S = 0.5n(a + aₙ)
here we know that n = 122, a = 5 and aₙ = 122
hence we get
S = 0.5 X 40(5 + 122)
= 20(127)
= 2540
Hence the sum is 2540.
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US 90 According to the American Automobile Association (AAA), 9.35 of Americans plan to travel by car over the next holiday weekend and 88.6% plan to stay home. What is the probability that a randomly selected American plans to stay home or travel by car over the next holiday weekend? P travel by car or stay home) 0.0897 This probability does not equal 1 because some Americans traveled by other means
The probability that a randomly selected American plans to stay home or travel by car over the next holiday weekend given the information that 9.35% of Americans plan to travel by car and 88.6% plan to stay home. The probability of staying home or traveling by car over the next holiday weekend is given by the addition of probabilities of these events.
P(stay home or travel by car) = P(stay home) + P(travel by car)P(stay home or travel by car) = 0.886 + 0.0935P(stay home or travel by car) = 0.9795Therefore, the probability that a randomly selected American plans to stay home or travel by car over the next holiday weekend is 0.9795.
The value of probability does not equal 1 because some Americans traveled by other means.
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Estimate 103 + 94 by first rounding each number to the nearest ten
Answer:
200
Step-by-step explanation:
103+94
=100+100
=200
Answer:
197 the nearest ten is 200
Step-by-step explanation:
he need to put the nearest ten