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zhuklara [117]
3 years ago
7

A restaurant advertises that its burritos weigh 250 g 250 g250, start text, space, g, end text. A consumer advocacy group doubts

this claim, and they obtain a random sample of these burritos to test if the mean weight is significantly lower than 250 g 250 g250, start text, space, g, end text.
Mathematics
1 answer:
pantera1 [17]3 years ago
4 0

Answer: C) H0 : μ = 250 , Ha: μ < 250

Step-by-step explanation:

The questions is incomplete. The correct question is

A restaurant advertises that its burritos weigh 250 g. A consumer advocacy group doubts this claim, and they obtain a random sample of these burritos to test if the mean weight is significantly lower than 250 g. Let u be the mean weight of the burritos at this restaurant and ĉ be the mean weight of the burritos in the sample. Which of the following is an appropriate set of hypotheses for their significance test? Choose 1 answer:

A) H0 : x = 250 , Ha : x < 250

B) H0 : x = 250 , Ha : x > 250

C) H0 : μ = 250 , Ha: μ < 250

C) H0 : μ = 250 , Ha: μ > 250

Solution:

The null hypothesis is the hypothesis that is assumed to be true. The restaurant advertises that its burritos weigh 250. This is the null hypothesis. 250 is the population mean,μ . Thus, the null hypothesis is

H0 : μ = 250

The alternative hypothesis is what the researcher expects or predicts. The consumer advocacy group tests if the mean weight is significantly lower than 250g. This is the alternative hypothesis. It is expressed as

H0 : μ < 250

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Answer:

For this case the probability of getting a head is p=0.61

And the experiment is "The coin is tossed until the first time that a head turns up"

And we define the variable T="The record the number of tosses/trials up to and including the first head"

So then the best distribution is the Geometric distribution given by:

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Step-by-step explanation:

Previous concepts

The geometric distribution represents "the number of failures before you get a success in a series of Bernoulli trials. This discrete probability distribution is represented by the probability density function:"

P(X=x)=(1-p)^{x-1} p

Let X the random variable that measures the number os trials until the first success, we know that X follows this distribution:

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Solution to the problem

For this case the probability of getting a head is p=0.61

And the experiment is "The coin is tossed until the first time that a head turns up"

And we define the variable T="The record the number of tosses/trials up to and including the first head"

So then the best distribution is the Geometric distribution given by:

T \sim Geo (1-p=1-0.61)

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Ugo [173]

Answer:

The value of u are,

0.93, -12.93

Step-by-step explanation:

It is given an expression in variable u

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<u>To find the solution of given expression</u>

(u + 6)·² + 4 = 52

(u + 6)²  = 52 - 4

(u + 6)² = 48

u + 6 = √48

u + 6 = ±6.93

u =  ±6.93 - 6

u = 6.93 - 6  or u = -6.93 - 6

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Answer:

Tamara incorrectly factored the whole expression.

Step-by-step explanation:

Note that

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