If you have a population standard deviation of 18 and a sample size of 36, what is your standard error of the mean

Answer:

pls mrk me brainliest (⁠=⁠^⁠･⁠ｪ⁠･⁠^⁠=⁠)

Step-by-step explanation:

nx-xp+xq/n

Answer:

n-1 (x=n-1)

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The value of both angles in degrees from 0° ≤ 0 < 360° and both angles in radians from 0 ≤ theta < 2pi are,

⇒ θ = π/3 or 2π/3

⇒ θ = 60° or 120°

We have to given that;

⇒ cosec θ = (2√3)/3

Now, We can simplify as;

⇒ cosec θ = (2√3)/3

⇒ cosec θ = (2/√3)

⇒ sin θ = √3/2

Hence, Within the interval 0 ≤ theta < 2pi are,

⇒ θ = π/3 or 2π/3

⇒ θ = 60° or 120°

Thus, The value of both angles in degrees from 0° ≤ 0 < 360° and both angles in radians from 0 ≤ theta < 2pi are,

⇒ θ = π/3 or 2π/3

⇒ θ = 60° or 120°

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The number of candy bars sold, x, is equal to 8 candy bars.

The number of bags of chips sold, y, is equal to 12 chips.

In order to write a linear equation to describe this situation, we would assign variables to the number of bags of chips sold and the number of candy bars sold respectively, and then translate the word problem into a linear equation as follows:

Since the price of each candy bar is $1 and the price of each bag of chips is $2, and he made $32 from selling a total of 20 candy bars and bags of chips, a system of linear equations to describe this situation can be written as follows;

x + y = 20

x + 2y = 32

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The  probability of 6 successes in 7 independent trials with a probability of success 0.65 is 0.3052.

Using the binomial probability formula, the probability of x successes in n independent trials with a probability of success p can be calculated as:

P(x) = (n choose x) * p^x * (1-p)^(n-x)

where "n choose x" represents the number of ways to choose x items from a set of n items, and is calculated as:

(n choose x) = n! / (x! * (n-x)!)

So, for the given parameters nequals=7, pequals=0.65, xequals=6, we have:

P(6) = (7 choose 6) * 0.65^6 * (1-0.65)^(7-6)
     = 7 * 0.65^6 * 0.35^1
     = 0.3052

Therefore, the probability of 6 successes in 7 independent trials with a probability of success 0.65 is 0.3052.

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Answer:

C. 62°

Step-by-step explanation:

RQ equal to TQ

so <PQT = 90° - x

90° - 28°

=62°

i hope that is the answer

Answer:

62 degrees

Step-by-step explanation:

We know that TQ is 180 degrees, and that it's tangent, meaning the line, RQ, is perpendicular to TQ, meaning that each angle is 90 degrees.

We also know that x=28 degrees, we can write an equation:

90-28=62

So, PQT is 62 degrees.

Hope this helps! :)

Answer:14.42

How to get it:Use Pythagorean Theorem to solve this problem. Since a squared plus b squared =c squared and we have an and c we can work backwards. Start by squaring 17 (17x17) which would be 289. Then do 9 squared (9x9) to get 81. Subtract 289-81 to get 208, square root this for your answer 14.4222 round to 14.42. You can check this by doing 14.4222 squared plus 9 squared then square root it and you should get approximately, but not exactly 17.

There are 97 people who rent umbrellas.


Step 1: Find the number of people who rent only chairs.
Since there are 72 people who rent both chairs and umbrellas, there must be 125 - 72 = 53 people who rent only chairs.

Step 2: Find the total number of people who rent only chairs or only umbrellas.
Since there are 150 customers in total, there must be 150 - 72 = 78 people who rent either only chairs or only umbrellas.

Step 3: Find the number of people who rent only umbrellas.
Since we know that 53 people rent only chairs from Step 1, there must be 78 - 53 = 25 people who rent only umbrellas.

Step 4: Find the total number of people who rent umbrellas.
Since there are 72 people who rent both chairs and umbrellas and 25 people who rent only umbrellas, there are 72 + 25 = 97 people who rent umbrellas.

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The ratio is given as 9 / 26

Total number of miles in the race: 26 miles

Number of miles you've run so far: 17 miles

Miles left to run = Total miles in the race - Miles you've run so far

Miles left to run = 26 miles - 17 miles

Miles left to run = 9 miles

Now, to find the ratio of the number of miles you have left to the total number of miles in the race:

Ratio = Miles left to run : Total miles in the race

Ratio = 9 miles : 26 miles

So the ratio is 9:26.

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It will take you 30 days to run a total of 12 kilometers.

The popular distance calculator calculates distances in kilometres between any locations and coordinates, providing route planners

To calculate the number of days it will take you to run a total of 12 kilometers, we need to convert kilometers to meters and then divide it by the distance you run each day.

1 kilometer = 1000 meters

So, 12 kilometers is equal to 12 * 1000 = 12000 meters.

Since you run 400 meters each day, we can divide the total distance by the distance you run each day to find the number of days:

12000 meters / 400 meters per day = 30 days

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The actual height of the structure is 15cm (second option).

The height of an object measures how tall an object is. The height of the structure that Jacob made is 3cm.

A scale is used to show the proportion between two images or objects. The scale of the structure shows that the strucutre that Jacob made is smaller than the actual structure.

In order to determine the original height of the structure, multiply 3 by 5.

Actual height = height of the structure that Jacob made x 5

3 x 5 = 15 cm

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The area of the field is 10,765.44 square meters.

Given that:

Diameter, d = 72 m

Width, W = 72 m

Length, L = 93 m

The area of a two - dimensional figure is the area that its perimeter encloses. The quantity of unit squares that occupy a closed figure's surface is its region.

The area of the field is calculated as,

A = (π/4)d² + W·L

A = (3.14 / 4) x 72² + 72 x 93

A = 4,069.44 + 6,696

A = 10,765.44 square meters

The area of the field is 10,765.44 square meters.

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Answer:

-1 and 0

Step-by-step explanation:

The intervals of x:

[tex] - 1 \leqslant x \leqslant 5[/tex]Substitute -1 first:

[tex]4( - 1) + 5 \leqslant 5 \\ - 4 + 5 \leqslant 5 \\ 1 \leqslant 5[/tex]

This inequality is true.

Substitute 0 next:

[tex]4(0) + 5 \leqslant 5[/tex]

[tex]5 \leqslant 5[/tex]

This is true.

Substitute 1 into x next:

[tex]4(1) + 5 \leqslant 5[/tex]

[tex]9 \leqslant 5[/tex]

This is not true. Thus any integers greater than 0, not including 0, does not satify the inequality.

The component of the field vector E = 3.0x [tex]\hat{i}[/tex] + 4.0 [tex]\hat{j}[/tex] pierces the top face is the y-component

The electric field vector E = 3.0x [tex]\hat{i}[/tex] + 4.0 [tex]\hat{j}[/tex] has an x-component of 3.0 and a y-component of 4.0. To determine which component of the field vector pierces the top face, we need to know the orientation of the top face.

Assuming that the top face is perpendicular to the z-axis, the component of the field vector that pierces the top face is the y-component, Ey = 4.0. Therefore, the answer to the question is the y-component of the field vector, which is 4.0

Hence, the component of the field vector E = 3.0x [tex]\hat{i}[/tex] + 4.0 [tex]\hat{j}[/tex] pierces the top face is the y-component.

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A chance that the sample mean income level falls between $49,000 and $51,000 is 39.38%.

Based on the given information, we know that the population mean (average income) in New York City is $50,000 and the population standard deviation is $10,000.

If we randomly sample 625 people and ask them what their income level is, we can use the central limit theorem to approximate the distribution of sample means.

The central limit theorem states that for a large enough sample size (in this case, n = 625), the distribution of sample means will be approximately normal, regardless of the distribution of the population.

To calculate the mean and standard deviation of the sample means, we can use the following formulas:

Mean of sample means = population mean = $50,000
Standard deviation of sample means = population standard deviation / square root of sample size
= $10,000 / sqrt(625)
= $10,000 / 25
= $400

Therefore, the mean income level of the 625 people in the sample is expected to be $50,000, and the standard deviation of the sample means is $400.

Using this information, we can also calculate the probability of certain income levels in the sample. For example, we can calculate the probability that the sample mean income level is between $49,000 and $51,000:

Z-score for lower limit = (49,000 - 50,000) / 400 = -0.25
Z-score for upper limit = (51,000 - 50,000) / 400 = 0.25

Using a standard normal distribution table or calculator, we can find the probability of a Z-score between -0.25 and 0.25 to be approximately 0.3938.

Therefore, there is a 39.38% chance that the sample mean income level falls between $49,000 and $51,000.

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The correct option is (a) MS. Because ANOVA terminology, the term used for variance is MS.

How to used MS within in ANOVA terminology ?

ANOVA terminology is a statistical method used to compare the means of two or more groups. The method partitions the total variability of the data into different sources of variation, such as the variation between groups (treatments) and the variation within groups (error). The goal is to determine whether the differences between the means of the groups are statistically significant, or whether they are due to chance.

In ANOVA, the total variability is decomposed into three types of sums of squares (SS):

SS total: the total sum of squares of the deviation of each data point from the overall mean of all data points.

SS between: the sum of squares of the deviation of each group mean from the overall mean.

SS within: the sum of squares of the deviation of each data point from its group mean.

The degrees of freedom (df) associated with each sum of squares are calculated based on the sample size and the number of groups.

To test whether the differences between the group means are statistically significant, the F-ratio is calculated as the ratio of the variance between groups (MS between) to the variance within groups

(MS within):

F = MS between / MS within

If the F-ratio is greater than the critical value at a chosen level of significance, the null hypothesis of no difference between the group means is rejected, and it is concluded that there is a significant difference between at least two of the group means.

MS between and MS within are both mean squares (MS), which represent the variance associated with the between-group and within-group variability, respectively. They are calculated by dividing the corresponding SS by their respective degrees of freedom.

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The area of the backyard is 1000 square feet.

The square footage of the yard, you need to multiply the length and width of the yard.

So, the square footage of the yard would be: 50 ft (length) x 20 ft (width) = 1000 square feet

To calculate the area of the backyard, we need to use the formula for the area of a rectangle, which is:

Area = length x width

In this case, the length of the backyard is given as 50 feet, and the width is given as 20 feet.

So, we can substitute these values into the formula:

Area = 50 ft x 20 ft

Multiplying 50 by 20, we get:

Area = 1000 square feet

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Answer:

[tex]\sqrt{\frac{3V}{\pi h} }=r[/tex]

Step-by-step explanation:

The formula for volume of a cone is V = 1/3πr^2h, where V is the volume, r is the radius, and h is the height.

We can express r in terms of the other three parts of the formula by isolating it:

[tex]V=1/3\pi r^2h\\\\3V=\pi r^2h\\\\\frac{3V}{h\pi }=r^2\\ \\\sqrt{\frac{3V}{h\pi } }=r^[/tex]

We can check first by choosing a value for r and h, which will allow us to find a volume.  Then, we can rearrange the numbers using the formula expressing r in terms of the volume, height, and pi

For example, using a radius that is 2 units and height that is 5[tex]V=1/3\pi (2)^2*5\\V=1/3\pi *4*5\\V=20/3\pi \\V=20.94395102[/tex] units will give a volume of 20/3π (i.e., 20.94395102) units:

Now, we can plug in our numbers for the formula expressing r in terms of volume, height, and pi and check that we get a radius of 2:

[tex]\sqrt{(\frac{3*20/3\pi }{5\pi }) } =2\\\sqrt{(\frac{20\pi }{5\pi }) }=2\\ \sqrt{4}=2\\ 2=2[/tex]

Thus, our formula expressing r in terms of V, h, and π is correct

The area of the jogging path is 4L + 4W + 16 square meters.

To find the area of the jogging path in the park, we need to know the dimensions of the rectangle. Let's assume that the length of the rectangle is L and the width is W. Then, the new dimensions of the rectangle, including the jogging path, would be (L+4) and (W+4), since the jogging path is 2 meters wide on both sides of the rectangle.

Therefore, the area of the jogging path would be the difference between the area of the larger rectangle and the area of the original rectangle. The area of the larger rectangle is:

(L+4) × (W+4)

And the area of the original rectangle is:

L × W

So the area of the jogging path would be:

(L+4) × (W+4) - L × W

We can simplify this expression to get:

LW + 4L + 4W + 16 - LW = 4L + 4W + 16

Therefore, the area of the jogging path is 4L + 4W + 16 square meters.

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Answer:

Step-by-step explanation:

16 strands

The similar triangles are =

1) ΔABC~ΔBDC~ΔADB

2) ΔEFG~ΔFHE~ΔFHG

3) ΔJMK~ΔLMK~ΔJKL

Given are figure, we need to find the similar triangles and the missing values,

1) The similar triangles are =

ΔABC~ΔBDC~ΔADB

Therefore,

x² = 8 × 4

x = √32

x = 4√2

2) The similar triangles are =

ΔEFG~ΔFHE~ΔFHG

Therefore,

15/y = y/9

y² = 135

y = 3√15

3) The similar triangles are =

ΔJMK~ΔLMK~ΔJKL

Therefore,

12/18 = 18/z

12z = 18²

z = 324/12

z = 27

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The possible values for the number of Patriots picked among the eight athletes are 0, 1, 2, and 3.

To find the number of Patriots picked among the eight randomly chosen athletes, we can use the concept of combinations.

The total number of possible combinations of choosing 8 athletes from a pool of 7 Celtics and 3 Patriots is given by the binomial coefficient:

C(7 + 3, 8) = C(10, 8) = 10! / (8! * (10 - 8)!) = 10! / (8! * 2!) = (10 * 9) / (2 * 1) = 45

So, there are 45 different combinations of choosing 8 athletes from the group of 7 Celtics and 3 Patriots.

However, we are interested in the number of Patriots picked, which can vary from 0 to 3. We need to calculate the probability of each possible number of Patriots picked.

Number of Patriots picked = 0:

The number of ways to choose 0 Patriots from 3 is given by the binomial coefficient:

C(3, 0) = 1

Number of Patriots picked = 1:

The number of ways to choose 1 Patriot from 3 is given by the binomial coefficient:

C(3, 1) = 3

Number of Patriots picked = 2:

The number of ways to choose 2 Patriots from 3 is given by the binomial coefficient:

C(3, 2) = 3

Number of Patriots picked = 3:

The number of ways to choose all 3 Patriots from 3 is given by the binomial coefficient:

C(3, 3) = 1

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The surface area of the rectangular prism is 1390 cm²

Given that a rectangular-prism shaped toy box is 43 cm long.

Also, one of the faces has a perimeter of 60 cm, where height is twice as long the width,

Since the face of the rectangular prism is rectangular in shape, so,

60 = 2(h + 2h)

30 = 3h

h = 10 cm

So, the width is = 5 cm

The surface area of a rectangular prism = 2(LH + WH + WL)

= 2(5x10 + 10x43 + 43x5)

= 2(50 + 430 + 215)

= 1390 cm²

Hence the surface area of the rectangular prism is 1390 cm²

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The probability of the component failing within the first 6 months is approximately 0.3935 or 39.35%.

For the probability of the component failing within the first 6 months, we need to find the cumulative distribution function (CDF) of the Gamma distribution with parameters α = 2 and λ = 2, and evaluate it at t = 0.5 years (6 months).

Hence, The CDF of a Gamma distribution with parameters α and λ is given by:

F(t) = γ(α, λt) / Γ(α)

where γ is the lower incomplete Gamma function and Γ is the Gamma function.

Plugging in α = 2 and λ = 2, we get:

F(t) = γ(2, 2t) / Γ(2) = (1 - e^(-2t))(2t)

To find the probability of the component failing within the first 6 months (t = 0.5 years), we simply evaluate the CDF at t = 0.5:

F(0.5) = (1 - e^(-2(0.5)))(2(0.5))

= 0.3935

Therefore, the probability of the component failing within the first 6 months is approximately 0.3935 or 39.35%.

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The width of the object is 32 feet.

To find the width of an object given its length and perimeter, we can use the formula for the perimeter of a rectangle: P = 2(length + width).

Given that the length is 54 feet and the perimeter is 172 feet, we can substitute these values into the formula:

172 = 2(54 + width)

Dividing both sides of the equation by 2, we get:

86 = 54 + width

Subtracting 54 from both sides, we find:

width = 86 - 54 = 32 feet

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150 out of the 240 repetitions will result in at least 2 fair coins landing heads up.

The list of possible outcomes and count the occurrences that meet this condition.

From the given sample space:

HHH - All three coins land heads up

HHT - Two coins land heads up

HTH - Two coins land heads up

HTT - One coin lands heads up

THH - Two coins land heads up

THT - One coin lands heads up

TTH - One coin lands heads up

TTT - No coin lands heads up

Out of the 8 possible outcomes, 5 meet the condition of having at least 2 fair coins landing heads up.

So, 5 out of 8 repetitions or 5/8 will result in at least 2 fair coins landing heads up.

Now, the number of repetitions = 240 * (5/8)

                                                     = 150

Hence, 150 out of the 240 repetitions will result.

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When performing a statistical test, such as the Chi-Square test, the p-value is a crucial component in determining the significance of the data compared to the null hypothesis. The p-value represents the probability of observing the given data, or more extreme results, assuming the null hypothesis is true. In general, a p-value threshold of 0.05 is used to determine statistical significance.

If the calculated p-value is less than or equal to 0.05, it indicates that the observed data significantly differ from what is expected under the null hypothesis. This means that there is a less than 5% chance of obtaining the observed data if the null hypothesis were true. Consequently, researchers often reject the null hypothesis in favor of the alternative hypothesis when the p-value is less than or equal to 0.05.

However, it is essential to note that the choice of the significance level is subjective and may vary depending on the field or specific study. In some cases, a more stringent threshold, such as 0.01, might be required to minimize the chances of false positives, while in other situations, a more lenient threshold, such as 0.10, may be acceptable.

In summary, a p-value of 0.05 or less typically indicates that the data differ significantly from what is expected under the null hypothesis in a statistical test like the Chi-Square test. However, the chosen threshold for significance may vary depending on the specific context and research objectives.

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The z-score of an observation represents the number of standard deviations the observation is away from the mean.

The z-score of an observation represents the number of standard deviations the observation is away from the mean.

If the z-score for a particular observation is z = 0.4, this means that the observation is 0.4 standard deviations above the mean.

If the mean is represented by μ and the standard deviation by σ, then we can express this observation as:

observation = μ + (z * σ)

observation = μ + (0.4 * σ)

This means that the observation is located to the right of the mean by a distance of 0.4 standard deviations.

For example, The z-score represents the number of standard deviations an observation is above or below the mean of the distribution.

In this case, a z-score of 0.4 indicates that the observation is 0.4 standard deviations above the mean.

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Events that cannot both occur at the same time are mutually exclusive events.

-The probability of the union of mutually exclusive events is equal to the sum of their individual probabilities, i.e., P(A ∪ B) = P(A) + P(B). Events that cannot both occur at the same time are mutually exclusive events.

-In other words, if two events A and B are mutually exclusive, then they have no outcomes in common, and the occurrence of one event precludes the occurrence of the other event. Mathematically, this means that the intersection of A and B is an empty set, i.e., A ∩ B = ∅.

The probability of the union of mutually exclusive events is equal to the sum of their individual probabilities, i.e., P(A ∪ B) = P(A) + P(B).

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If she charges p dollars for each photo, she can sell 330–6p photos each month, Then we can factor the quadratic inside the parentheses: – 6(p–15)(p–45) = 0.

In the factored form of Kristen's monthly profit expression, – 6(p–15)(p–45), the numbers 15 and 45 represent the values of p (the price per photo) at which Kristen's profit will be equal to zero.

This is because when Kristen's profit is equal to zero, she is neither making a profit nor losing money, and the number of photos she sells is maximizing her revenue. So, at the values of p where the profit is zero, Kristen is making the most profit she can given her costs and sales data.

To find these values, we set the profit expression equal to zero and solve for p:

– 6p2+360p–4,050 = 0

We can factor out a – 6 from this expression:

– 6(p2–60p+675) = 0

Then we can factor the quadratic inside the parentheses:

– 6(p–15)(p–45) = 0

Thus, this means that Kristen's profit will be zero when p equals either 15 or 45. At these prices, Kristen is maximizing her revenue and making the most profit she can given her costs and sales data.

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Answer:

-1.13

Step-by-step explanation:

you can count the lines and get the answer, one line down from -1.1 is -1.11 since -1.1 is technically -1.10 and you keep counting until the dot