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Nesterboy [21]
3 years ago
12

Write an integer expression that has the same value as 36÷(-9)+(-5)

Mathematics
2 answers:
anastassius [24]3 years ago
8 0
Your answer for this problem is "-9"


because

4 over-1 (simplify it)

then,-4 + -5

then add "-4 + -5" from each other, which will give you the result of a -9.

seraphim [82]3 years ago
4 0
I believe the answer is -9
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If(x)=4x+2 and g(x)=2x-4 what is f(g(x))
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Answer:

f(g(x)) = 8x-14

Step-by-step explanation:

You need to bring one inside the other so:

f(g(x)) = 4(2x-4) +2

f(g(x)) = 8x - 16 + 2 = 8x -14

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There were 80 tickets sold for the class play. Of these,24 adults and the rest were children . Write the ratio if adults to chil
nevsk [136]

Answer:

ratio of adults to children in SIMPLEST form would be 3:7

Step-by-step explanation:

To simplify a ratio you have to find the Greatest Common Factor (GCF) of each number in the ratio and divide. In this example, the original ratio would be 24:56 the GCF of 24 would be 9, and the GCF of 56 would be 8. And then you would divide those numbers and get 3:7

8 0
3 years ago
A technician compares repair costs for two types of microwave ovens (type I and type II). He believes that the repair cost for t
hoa [83]

Answer:

Since p value <0.1 accept the claim that oven I repair costs are more

Step-by-step explanation:

The data given for two types of ovens are summarised below:

Group   Group One     Group Two  

Mean 85.7900 78.6700

SD 15.1300 17.8400

SEM 1.9533 2.3840

N 60       56      

Alpha = 10%

H_0: \mu_1 - \mu_2 =0\\H_a: \mu_1 - \mu_2> 0

(Right tailed test)

The mean of Group One minus Group Two equals 7.1200

df = 114

 standard error of difference = 3.065

 t = 2.3234

p value = 0.0219

If p value <0.10 reject null hypothesis

4) Since p value <0.1 accept the claim that oven I repair costs are more

 

3 0
4 years ago
For a test of population proportion H0: p = 0.50, the z test statistic equals 1.05. Use 3 decimal places. (a) What is the p-valu
sergiy2304 [10]

Answer:

(a) The <em>p</em>-value of the test statistic is 0.147.

(b) The <em>p</em>-value of the test statistic is 0.294.

(c) The <em>p</em>-value of the test statistic is 0.8531.

(d) None of the <em>p</em>-values give strong evidence against the null hypothesis.

Step-by-step explanation:

The <em>p</em>-value is well defined as the probability,[under the null hypothesis (H₀)], of attaining a result equivalent to or greater than what was the truly observed value of the test statistic.

We reject a hypothesis if the p-value of a statistic is lower than the level of significance <em>α</em>.

The null hypothesis for the test of population proportion is defined as:

<em>H₀</em>: <em>p</em> = 0.50

The value of <em>z</em>-test statistic is,

<em>z</em> = 1.05

(a)

The alternate hypothesis is defined as:

<em>Hₐ</em>: <em>p</em> > 0.50

Compute the <em>p</em>-value of the test statistic as follows:

p-value=P(Z>1.05)\\=1-P(Z

*Use a <em>z</em>-table for the probability value.

Thus, the <em>p</em>-value of the test statistic is 0.147.

(b)

The alternate hypothesis is defined as:

<em>Hₐ</em>: <em>p</em> ≠ 0.50

Compute the <em>p</em>-value of the test statistic as follows:

p-value=2\times P(Z>1.05)\\=2\times 0.1469\\=0.2938\\\approx 0.294

*Use a <em>z</em>-table for the probability value.

Thus, the <em>p</em>-value of the test statistic is 0.294.

(c)

The alternate hypothesis is defined as:

<em>Hₐ</em>: <em>p</em> < 0.50

Compute the <em>p</em>-value of the test statistic as follows:

p-value= P(Z1.05)=1- 0.1469\\=0.8531

*Use a <em>z</em>-table for the probability value.

Thus, the <em>p</em>-value of the test statistic is 0.8531.

(d)

The decision rule of the test is:

If the <em>p</em>-value of the test is less than the significance level <em>α</em>, then the null hypothesis is rejected at <em>α</em>% level of significance.

And if the <em>p</em>-value of the test is more than the significance level <em>α</em>, then the null hypothesis is failed to be rejected.

The most commonly used level of significance are:

<em>α</em> = 0.01, 0.05 and 0.10

The <em>p</em>-value for all the three alternate hypothesis are:

<em>p-</em>values = 0.147, 0.294 and 0.8531.

All the <em>p</em>-values are quite large compared to the <em>α</em> values.

Thus, none of the <em>p</em>-values give strong evidence against the null hypothesis.

The null hypothesis was failed to be rejected.

5 0
3 years ago
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