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salantis [7]
3 years ago
8

Which statement correctly identifies a local minimum of the graphed function? Over the interval [–3, –2], the local minimum is 0

. Over the interval [–2, –1], the local minimum is 2.2. Over the interval [–1, 0.5], the local minimum is 1. Over the interval [0.5, 2], the local minimum is 4.
Mathematics
1 answer:
marta [7]3 years ago
4 0

Answer:

C.

Step-by-step explanation:

As we can see on the graph C is our answer.

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4x hope this explanation will help

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At a border inspection station, vehicles arrive at the rate of 10 per hour in a Poisson distribution. For simplicity in this pro
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no❤️Step-by-step explanation:

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2 years ago
What is the length of BC¯¯¯¯¯ ?
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3 years ago
Help please.
Veseljchak [2.6K]
1) multiply price per pound by number of pounds.

1.73/lb * 2.6 pounds= $4.498= $4.50

ANSWER: C) $4.50


2) set up a proportion. 494 is what % out of 520 as x is what out of 100.

$494/$520= x/100
cross multiply
(494*100)= (520*x)
49400= 520x
divide both sides by 520
95%= x

ANSWER: D) 95%

Hope this helps! :)
5 0
3 years ago
An industrial expert claims that the average useful lifetime of a typical car transimssion which comes with ten years warranty i
grin007 [14]

Answer:

Step-by-step explanation:

The question is incomplete. The missing information is the group of answer choices. The group of answer choices are

a) none of the above

b) Data provides sufficient evidence, at 1% significance level, to reject the expert's claim. In addition the p-value (or the observed significance level) is equal to P( T < -3.281).

c) Data provides insufficient evidence, at 1% significance level, to support the expert's claim. In addition the p-value (or the observed significance level) is equal to P( Z > 2.896).

d) Data provides sufficient evidence, at 1% significance level, to support the expert's claim. In addition the p-value (or the observed significance level) is equal to P( T >3.355).

e) Data provides insufficient evidence, at 1% significance level, to support the researcher's claim. In addition the p-value (or the observed significance level) is equal to P(Z > 2.896).

Solution:

We would set up the hypothesis test. This is a test of a single population mean since we are dealing with mean

For the null hypothesis,

H0: µ ≥ 10

For the alternative hypothesis,

µ < 10

This is a left tailed test.

Since the number of samples is small and the population standard deviation is not given, the distribution is a student's t.

Since n = 9,

Degrees of freedom, df = n - 1 = 9 - 1 = 8

t = (x - µ)/(s/√n)

Where

x = sample mean = 13.5

µ = population mean = 10

s = samples standard deviation = 3.2

t = (13.5 - 10)/(3.2/√9) = 3.28

Since α = 0.01, the critical value is determined from the t distribution table. Recall that this is a left tailed test. Therefore, we would find the critical value corresponding to 1 - α and reject the null hypothesis if the test statistic is less than the negative of the table value.

1 - α = 1 - 0.01 = 0.99

The negative critical value is - 2.896

Since - 3.28 is lesser than - 2.896, then we would reject the null hypothesis.

By using probability value,

We would determine the p value using the t test calculator. It becomes

p = 0.0056

Level of significance = 1%

Since alpha, 0.01 > than the p value, 0.0056, then we would reject the null hypothesis. Therefore, At a 1% level of significance, the sample data showed significant evidence that the average useful lifetime of a typical car transimssion which comes with ten years warranty is significantly less than 10 years

The correct option is

a) none of the above

8 0
3 years ago
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