The branch of statistics that uses sample statistics to estimate a population parameter or test a hypothesis about such a parameter is best referred to as?

The correct interpretation is b) There is not a significant difference between the sample value and the population.

In the given statement, z = 1.42 and p > .05. The z-value represents the standardized difference between the sample value and the population mean, while the p-value represents the probability of observing a result as extreme as, or more extreme than, the observed result under the null hypothesis (no difference between the sample value and the population mean). A p-value greater than .05 indicates that the difference between the sample value and the population mean is not statistically significant, meaning we cannot reject the null hypothesis.

Based on the provided information (z = 1.42, p > .05), we can conclude that there is not a significant difference between the sample value and the population.

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Based on the fact that the line passes through (-2, 7) and the slope, the value of a can be found to be  -1

To find the value of a, you first need to find the y-intercept to complete the linear equation which takes the form:

y = slope (x) + y-intercept

7 = -5(-2) + y-intercept

7 = 10 + y-intercept

y-intercept = 7 - 10

y-intercept = -3

The line equation is:

y = -5x - 3

The line y = -5x - 3 is passing through the point (a,2) is:

2 = -5(a) - 3

3 + 2 = -5a

a = 5 / -5

a = -1

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Answer:

the answer is  -1

Step-by-step explanation:

Nearly half of the newborns among nonsmokers (56 out of 115, 48.7%) have birth weights between 3,000 and 4,000 grammes. 40 of 74, or 54%, of the infants born to smokers have birth weights between 2,000 and 3,000 grammes, with fewer infants in the larger weight groups.

What is birth weight?

The body weight of a newborn is referred to as birth weight. Infants of European descent typically weigh between 2.5 and 4.5 kilogrammes at birth, with an average of 3.5 kilograms. South Asian and Chinese babies weigh about 3.26 kilogrammes on average.

Babies born to nonsmokers typically weighed between 1,000 and 5,000 grammes. Babies born to smokers often ranged in weight from 500 to 4500 grammes.

However, we also notice some significant variations between the two groups' normal ranges of birth weights. With fewer infants in the lower weight ranges, nearly half of the newborns among nonsmokers (56 out of 115, 48.7%) have birth weights between 3,000 and 4,000 grammes. 40 of 74, or 54%, of the infants born to smokers have birth weights between 2,000 and 3,000 grammes, with fewer infants in the larger weight groups.

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Answer:

x = 90 degrees.

Step-by-step explanation:

These are all regular octagons and the value of x = 2 * external angle of an octagon.

The sum of external angles of a polygon sum to 360 degrees and in the case of an octagon each external angle = 360/8 = 45 dgrees,

So angle x = 2*45 = 90 degrees.

Answer:

1&5

Step-by-step explanation:

A pair of corresponding angles from the diagram is ∠1 and ∠5.

The correct option is C.

Lines in a plane that are consistently spaced apart are known as parallel lines. Parallel lines don't cross each other.

Given:

We have two parallel lines.

And a line intersects the parallel lines.

The corresponding angles are,

∠1 and ∠5.

∠2 and ∠6.

∠3 and ∠7 etc.

From the given choices,

∠1 and ∠5.

Therefore, from the given choices,

∠1 and ∠5.

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The function T(n) in terms of the number of operations is:

T(n) = 2n^3 + 3n^2 + 2n + 1 and the asymptotic complexity of the matrix multiplication algorithm is O(n^3).

To analyze the provided pseudo code for matrix multiplication and determine the function T(n) in terms of the number of operations, we need to examine the code and count the number of operations performed.

The pseudo code for matrix multiplication may look something like this:

```

MatrixMultiplication(A, B):

   n = size of matrix A

   C = empty matrix of size n x n

   for i = 1 to n do:

       for j = 1 to n do:

           sum = 0

           for k = 1 to n do:

               sum = sum + A[i][k] * B[k][j]

           C[i][j] = sum

   return C

```

Let's break down the number of operations step by step:

1. Assigning the size of matrix A to variable n: 1 operation

2. Initializing an empty matrix C of size n x n: n^2 operations (for creating n x n elements)

3. Outer loop: for i = 1 to n

- Incrementing i: n operations  

- Inner loop: for j = 1 to n

- Incrementing j: n^2 operations (since it is nested inside the outer loop)

- Initializing sum to 0: n^2 operations

- Innermost loop: for k = 1 to n

- Incrementing k: n^3 operations (since it is nested inside both the outer and inner loops)

- Performing the multiplication and addition: n^3 operations

- Assigning the result to C[i][j]: n^2 operations

- Assigning the value of sum to C[i][j]: n^2 operations

Total operations:

1 + n^2 + n + n^2 + n^3 + n^3 + n^2 + n^2 = 2n^3 + 3n^2 + 2n + 1

Therefore, the function T(n) in terms of the number of operations is:

T(n) = 2n^3 + 3n^2 + 2n + 1

To determine the asymptotic (big O) complexity of the algorithm, we focus on the dominant term as n approaches infinity.

In this case, the dominant term is 2n^3. Hence, the asymptotic complexity of the matrix multiplication algorithm is O(n^3).

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Answer:

Selling price is $60000/d

Step-by-step explanation:

Let the selling price be say $x. Now the commission is d% of x, that is (d/100)*x=600. x=60000/d

Commission of d% amounts to 600 the selling price in dollers will be

Selling price = 600 * \(\frac{100}{d}\) = 6000/d $

The price of an item which i have sold to someone is my selling price and for the person it is his/her cost price.

When my selling price is more than my cost price I make profit.

When my selling price is less than my cost price i make loss.

In the given question d% of commision amounts to 600$. Let us assume d% = 10 % for easy understanding.

\(\frac{percentage}{100}\) * selling price = 600

\(\frac{d}{100}\) * selling price = 600

Selling price = 600 * \(\frac{100}{d}\) = 6000/d $

or, 60000/10 = 6000 $

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Answer:

8

Step-by-step explanation:

the value of 4 tenths x hundreds.

4000

Answer:

40

Step-by-step explanation:

4/10 x 100 = 40

Force on strut BC: 800 lbs

Force components on pin A: Horizontal: 0 lbs, Vertical: 800 lbs.

In the given scenario, the weight of the lifeboat is the force acting on strut BC. Since the lifeboat weighs 800 lbs, the force acting on strut BC is also 800 lbs.

For pin A, the davit is in equilibrium, meaning that the sum of the forces acting on it must be zero in both the horizontal and vertical directions. Since the horizontal component of the weight of the lifeboat is perpendicular to pin A, the horizontal force component acting on pin A is zero.

The vertical force component acting on pin A is equal to the weight of the lifeboat, which is 800 lbs. This is because the vertical force component of the weight is acting in the opposite direction to counterbalance the weight.

Therefore, the force acting on strut BC is 800 lbs, the horizontal force component acting on pin A is zero, and the vertical force component acting on pin A is 800 lbs.

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Answer:

linear increasing

Step-by-step explanation:

and b for the second one

Answer: C. (1 + 3i)(1 - 3i)

Step-by-step explanation:

Took the test on edgnuity

Answer:

The person ontop is correct! It is C.

The actual lower and upper bounds of an interval in a grouped frequency distribution are called the class limits.

In a grouped frequency distribution, data is grouped into intervals or classes to simplify the presentation and analysis of data. Each interval has an upper limit and a lower limit that define its boundaries. The lower limit represents the smallest value within the interval, while the upper limit represents the largest value within the interval.

The class limits are important in determining the range and boundaries of each interval. They help organize the data into meaningful groups and allow for the calculation of various statistical measures such as frequencies, percentages, and cumulative frequencies within each interval. The class limits play a vital role in constructing histograms, frequency polygons, and other graphical representations of the grouped data.

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Answer:

i dont know  if this is right but the first one is 32.01      

Step-by-step explanation:

Answer:

I think the answer is C. Its not B or D though

Step-by-step explanation:

Using the binomial distribution, we have that you would expected to draw a face card 8 times.

It is the probability of exactly x successes on n repeated trials, with p probability of a success on each trial.

The expected value of the binomial distribution is:

E(X) = np

For this problem, the parameters are given as follows:

Then the expected value is found as follows:

E(X) = np = 35 x 0.2308 = 8

You would expected to draw a face card 8 times.

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There are approximately 160 acres in a lot that is 1/2 mile by 1/2 mile.

To find the number of acres in a lot, you can use the following formula:

Number of acres = (length in feet) x (width in feet) / 43,560

First, convert the length and width from miles to feet. There are 5,280 feet in a mile, so:

Length in feet = 1/2 mile x 5,280 feet/mile = 2,640 feet
Width in feet = 1/2 mile x 5,280 feet/mile = 2,640 feet

Next, plug these values into the formula:

Number of acres = (2,640 feet) x (2,640 feet) / 43,560 = 174,240,000 / 43,560 = 160 acres

Therefore, there are approximately 160 acres in a lot that is 1/2 mile by 1/2 mile.

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Answer:

The right approach is "Systematic sampling".

Step-by-step explanation:

Answer:

100

Step-by-step explanation:

so 20 was original

5 times of 20 is as simple as 5 * 20

5 * 20 = 100

Answer:

100

Explanation:

Because 20 times 5 is 100

Answer:

14 \(\frac{4}{9}\)

Step-by-step explanation:

starting at -18 you must add 5.4 until you reach 60

-18 + 5.4 = -12.6          once (1)

-12.6 + 5.4 = -7.2         twice (2)

-7.2 + 5.4 = -1.8            thrice (3)

-1.8 + 5.4 = 3.6              fourth (4)

3.6 + 5.4 = 9                  fifth (5)

9 + 5.4 = 14.4                 sixth (6)

14.4 + 5.4 = 19.8             seventh (7)

19.8 + 5.4 = 25.2            eighth (8)

25.2 + 5.4 = 30.6            ninth (9)

30.6 + 5.4 = 36                tenth (10)

36 + 5.4 = 41.4                 eleventh (11)

41.4 + 5.4 = 46.8               twelth (12)

46.8 + 5.4 = 52.2               thirteenth (13)

52.2 + 5.4 = 57.6                fourteenth (14)

since 57.6 + 5.4 is over 60, we need to find the difference in how much we need

57.6 - 60 = -2.4

we need 2.4 so subtract by 5.4

5.4 - 2.4 = 3

therefore we should divide

\(\frac{2.4}{5.4}\) = 14.444...

which means it goes into 60 (starting at -18) 14.444... repeating times

another way to find the answer is

add 18 + 60

18 + 60 = 78

78/5.4 = 14.444... repeating or 14 \(\frac{4}{9}\)

hope this helps:)

Answer: A.

A weak positive correlation

Step-by-step explanation:

In a chi-square test, the expected values should be greater than or equal to 5 for each cell in the contingency table. If any expected value is less than 5, then the validity of the chi-square test is in question and a different test or a modification of the chi-square test may be necessary. Therefore, the correct answer to your question is "greater than or equal to 5".

The chi-square test is a statistical test used to determine if there is a significant association between two categorical variables. The test involves comparing the observed frequencies of the categories with the expected frequencies that would be observed if there were no association between the variables.

The expected frequencies are calculated based on the assumption that there is no association between the variables, and are obtained by multiplying the marginal totals for each row and column, and dividing by the total sample size.

In order for the chi-square test to be valid, the expected frequencies for each cell should be greater than or equal to 5. This is because the chi-square test relies on the assumption that the expected frequencies follow a normal distribution, and if the expected frequencies are too small, the distribution may not be normal and the test may not be accurate.

If any of the expected frequencies are less than 5, there is a risk of a type I error (rejecting the null hypothesis when it is actually true), and a different test or a modification of the chi-square test may be necessary.

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Rounding to the nearest thousandth, the margin of error for this survey, expressed as a proportion, is approximately 0.020.

To calculate the margin of error for a survey, we can use the formula:

Margin of Error = Z × √((p × (1-p)) / n)

Where:

Z represents the z-score corresponding to the desired confidence level,

p represents the proportion of respondents who preferred candidate A,

n represents the sample size.

The sample size (n) is 1900, and the proportion of respondents who preferred candidate A is 1520/1900.

p = 1520/1900

≈ 0.8

We need to find the z-score corresponding to a 95% confidence level. For a 95% confidence level, the z-score is approximately 1.96.

Substituting the values into the formula:

Margin of Error = 1.96 × √((0.8 × (1-0.8)) / 1900)

Calculating the expression inside the square root:

(0.8 × (1-0.8)) ≈ 0.16

Margin of Error = 1.96 × √(0.16 / 1900)

Calculating the square root:

√(0.16 / 1900) ≈ 0.01016

Margin of Error = 1.96 × 0.01016

≈ 0.0199

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If the school now has 1,378 students enrolled, last year, the number of students enrolled was B. 1,300.

Using the mathematical operations of addition, subtraction, division, and multiplication, we can determine the number of students.

Mathematical operations help us to determine unknown values, given a known domain.

Increase in school enrollment over last year's = 6%

Enrollment for the current year = 1,378

Let last year's enrollment = 100%

And the current year's = 1.06 (100 + 6)

Therefore, the enrollment last year = 1,300 (1,378/1.06)

Thus, the enrollment (number) last school year was B. 1,300.

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Answer:

because there’s additional numbers to the equation

Step-by-step explanation:

it differs because of the -3 it’s -3 down

By solving equations we know that there are 30 giraffes and 40 ostriches in the zoo.

A mathematical statement known as an equation is made up of two expressions joined by the equal sign.

A formula would be 3x - 5 = 16, for instance.

When this equation is solved, we discover that the number of the variable x is 7.

So, calculate as follows:

Let g represent giraffes and o represent ostriches.

g + o = 70 ...(1)

4*g + 2*o = 200  ...(2)

g = 70 - o, according to equation 1, therefore we may enter that number in place of g in equation 2 to obtain:

4*g + 2*o = 200

4*(70-o) + 2*o = 200

280 - 4o + 2o = 200

-2o = 200 - 280

2o = 80

o = 80/2

o = 40

Ostriches are 40 then giraffes will be:

70 - 40 = 30

Therefore, by solving equations we know that there are 30 giraffes and 40 ostriches in the zoo.

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under the restrictions that c is negative to ensure strict concavity, the utility function u(w) = -(b - w)c displays increasing absolute risk aversion.

To ensure that u(w) is strictly increasing, we need the derivative of u(w) with respect to w to be positive for all values of w. Taking the derivative, we have du(w)/dw = -c. For u(w) to be strictly increasing, -c must be positive, which implies c must be negative.

To ensure that u(w) is strictly concave, we need the second derivative of u(w) with respect to w to be negative for all values of w. Taking the second derivative, we have d²u(w)/dw² = 0. Since the second derivative is constant and negative, u(w) is strictly concave.

Now, let's examine the concept of increasing absolute risk aversion. If a utility function u(w) exhibits increasing absolute risk aversion, it means that as wealth (w) increases, the individual becomes more risk-averse.

In the given utility function u(w) = -(b - w)c, when c is negative (as required for strict concavity), the absolute risk aversion increases as wealth (w) increases. This is because the negative sign implies that the utility function is concave, indicating that the individual becomes more risk-averse as wealth increases.

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