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expeople1 [14]
3 years ago
10

a herd of 86 horses has 75 white and some black horses.what is the ratio of black horses to white horses?

Mathematics
2 answers:
Naddik [55]3 years ago
8 0

Answer:11 black horses : 75 white horses

Step-by-step explanation:

we know thw white horses and how many there are but we dont know how many black ones so u take the number of white horses and subtart it from the total and get the number of black horses

timurjin [86]3 years ago
8 0

Answer:

11 : 75

Step-by-step explanation:

So first we find the number of black horses: 86 - 75 = 11 black horses

So the ratio is 11 : 75

We write 11 first because that is the number of horses asked for first.

HOPE IT HELPED

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Unlike most packaged food products, alcohol beverage container labels are not required to show calorie or nutrient content. An a
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We conclude that the true average estimated calorie content in the population sampled exceeds the actual content.

Step-by-step explanation:

We are given that an article reported on a pilot study in which each of 58 individuals in a sample was asked to estimate the calorie content of a 12 oz can of beer known to contain 153 calories.

The resulting sample mean estimated calorie level was 193 and the sample standard deviation was 88.

Let \mu = <u><em>true average estimated calorie content in the population sampled.</em></u>

So, Null Hypothesis, H_0 : \mu \leq 153 calories     {means that the true average estimated calorie content in the population sampled does not exceeds the actual content}

Alternate Hypothesis, H_A : \mu > 153 calories     {means that the true average estimated calorie content in the population sampled exceeds the actual content}

The test statistics that would be used here <u>One-sample t test statistics</u> as we don't know about the population standard deviation;

                             T.S. =  \frac{\bar X-\mu}{\frac{s}{\sqrt{n} } }  ~ t_n_-_1

where, \bar X = sample mean estimated calorie level = 193 calories

            s = sample standard deviation = 88

            n = sample of individuals = 58

So, <u><em>the test statistics</em></u>  =  \frac{193-153}{\frac{88}{\sqrt{58} } }  ~ t_5_7

                                       =  3.462

The value of t test statistics is 3.462.

Since, in the question we are not given the level of significance so we assume it to be 5%. <u>Now, at 0.05 significance level the t table gives critical value of 1.6725 at 57 degree of freedom for right-tailed test.</u>

Since our test statistic is more than the critical value of t as 3.462 > 1.6725, so we have sufficient evidence to reject our null hypothesis as it will fall in the rejection region due to which <u>we reject our null hypothesis</u>.

Therefore, we conclude that the true average estimated calorie content in the population sampled exceeds the actual content.

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