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BARSIC [14]
3 years ago
13

Negative 1 over 2 x 2 = –x 7

Mathematics
1 answer:
kykrilka [37]3 years ago
6 0
-1/(2*2) = -x7

-1/4 = -x7
-1/4 ÷ -7 = -x7/-7
-1/4 * -1/7 = x          * dividing fractions, the 2nd fraction must be in its reciprocal form.
-1/28 = x                  -7 in fraction for is -7/1 and in reciprocal form is -1/7
                                 * multiply the 1st fraction to the reciprocal of the 2nd fraction
x = -1/28                  * simplify the fraction.
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A data set includes data from student evaluations of courses. The summary statistics are n​, ​, s. Use a significance level to t
Andru [333]

Complete question :

A data set includes data from student evaluations of courses. The summary statistics are nequals92​, x overbarequals4.09​, sequals0.55. Use a 0.10 significance level to test the claim that the population of student course evaluations has a mean equal to 4.25. Assume that a simple random sample has been selected. Identify the null and alternative​ hypotheses, test​ statistic, P-value, and state the final conclusion that addresses the original claim.

Answer:

H0 : μ = 4.25

H1 : μ < 4.25

T = - 2.79

Pvalue =0.0026354

we conclude that there is enough evidence to conclude that population mean is different from 4.25 at 10%

Step-by-step explanation:

Given :

n = 92​, xbar = 4.09​, s = 0.55 ; μ = 4.25

H0 : μ = 4.25

H1 : μ < 4.25

The test statistic :

T = (xbar - μ) ÷ s / √n

T = (4.09 - 4.25) ÷ 0.55/√92

T = - 0.16 / 0.0573414

T = - 2.79

The Pvalue can be obtained from the test statistic, using the Pvalue calculator

Pvalue : (Z < - 2.79) = 0.0026354

Pvalue < α ; Hence, we reject the Null

Thus, we conclude that there is enough evidence to conclude that population mean is different from 4.25 at 10%

4 0
3 years ago
Swedish researchers concluded that viewing and discussing art soothes the soul and helps relieve medical conditions such as high
zavuch27 [327]

Answer:

i) Assigning women at random ensures that the two groups are comparable.

iv) A control group provides a baseline for comparisons to determine treatment effects.

Step-by-step explanation:

(a)

It is pertinent that there two comparable groups. In light of the fact that it will help in making better decisions since there will be some people who have blood pressure as a result of uncontrolled physical characteristics such as anger, positive attitude, lower blood pressure. etc Thus, there is a need to consider two equivalent groups.

(b)

A control group is used as a benchmark for determining the cause and effect of a treatment on a given experimental group. This may be in regard to the social aspect of meeting other individuals involved that make up the physical changes.

4 0
3 years ago
X/2.7 = 1.09 <br> FIND THE MEANING OF x
Kazeer [188]

Answer:

2.943

Step-by-step explanation:

2.943/2.7=1.09

6 0
4 years ago
It's 12 points of u get this right<br>​
earnstyle [38]

Answer:

y = -2x + 8

Step-by-step explanation:

When two points are given, the equation of the line passing through the points is given by:

        $ \frac{y - y_1}{y_2 - y_1} = \frac{x - x_1}{x_2 - x_1} $

where: $ (x_1,y_1) $ and $ (x_2,y_2) $ are the two points passing through the line.

Here, $ (x_1,y_1) = (2,4) $ and $ (x_2, y_2) = (3,2) $.

Substituting in the formula, we have:

$ \frac{y - 4}{2 - 4} = \frac{x - 2}{3 - 2} $

⇒ $ \frac{y - 4}{-2} = \frac{x - 2}{1} $

⇒ y - 4 = -2x + 4

⇒ y = -2x + 8 is the required equation of the line.

4 0
4 years ago
Assume that BK Call Center receives 2 phone calls in one hour on average. If the department works 10 hours a day receiving the c
MrMuchimi

Using the Poisson distribution, the probabilities are given as follows:

A. 0.0888 = 8.88%.

B. 0.1354 = 13.54%.

C. 0.8646 = 86.46%.

<h3>What is the Poisson distribution?</h3>

In a Poisson distribution, the probability that X represents the number of successes of a random variable is given by:

P(X = x) = \frac{e^{-\mu}\mu^{x}}{(x)!}

The parameters are:

  • x is the number of successes
  • e = 2.71828 is the Euler number
  • \mu is the mean in the given interval.

Item a:

10 hours, 2 calls per hour, hence the mean is given by:

\mu = 2 \times 10 = 20.

The probability is P(X = 20), hence:

P(X = x) = \frac{e^{-\mu}\mu^{x}}{(x)!}

P(X = 20) = \frac{e^{-20}20^{20}}{(20)!} = 0.0888

Item b:

1 hour, hence the mean is given by:

\mu = 2

The probability is P(X = 0), hence:

P(X = x) = \frac{e^{-\mu}\mu^{x}}{(x)!}

P(X = 0) = \frac{e^{-2}2^{0}}{(0)!} = 0.1354

Item c:

The probability is:

P(X \geq 1) = 1 - P(X = 0) = 1 - 0.1354 = 0.8646

More can be learned about the Poisson distribution at brainly.com/question/13971530

#SPJ1

5 0
2 years ago
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