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valentina_108 [34]
2 years ago
8

Of 100 diners in a restaurant, 45 ordered the fish of the day and 14 are wearing a dress. Of the diners who ordered fish, 8 are

wearing a dress. What is the probability that one of the diners ordered the fish or is wearing a dress?
Mathematics
2 answers:
vichka [17]2 years ago
8 0

Probability is the chance (the likelihood) that certain event will happen.

In our case the events are:

<span>1.<span>     </span></span>one of the diners orders fish

<span>2.<span>     </span></span>one of the diners is wearing dress

The or in the question means that we should sum the probabilities of the two events in order to get the asked probability.

The probability is a numerical value between the number 0 and 1.

 

probability of event happening = number of ways it can happen / total number of outcomes.

 

<span>1.<span>     </span></span>The probability that one of the diners orders fish = number of diners who ordered fish / total number of diners

p1=45/100=0.45

<span>2.<span>     </span></span>The probability that one of the diners is wearing dress= number of diners wearing dress/ total number of diners

<span>3.<span>     </span></span>p2=14/100=0.14

<span>The probability that one of the diners ordered the fish or is wearing a dress is: p=0.45+0.14=0.59</span>

tresset_1 [31]2 years ago
5 0
Idk. and I am in the 7th grade. I am sorry
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\frac{8}{25}

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A project’s critical path is composed of activities A (variance .33), B (variance .67), C (variance .33), and D (variance .17).
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Answer:

The standard deviation on the critical path = 0.834

Step-by-step explanation:

Variance of activity A (V_{1}) = 0.33

Variance of activity B (V_{2}) = 0.67

Variance of activity C (V_{3}) = 0.33

Variance of activity D (V_{4}) = 0.17

Thus the standard deviation on the critical path (\alpha ^{2}) = V_{1} ^{2} + V^2_{2} +  V^2_{3} + V^2_{4}

                                                                             \alpha ^{2}  = 0.33^{2} + 0.67^{2} + 0.33^{2} + 0.17^{2}

                                                                             \alpha ^{2} = 0.6956

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Answer:

Check Explanation

Step-by-step explanation:

A) The null hypothesis would be that the proportion of newly hired candidates that are not white is not significantly different from the proportion of the applicants that are not white & there is no significant evidence that the company's hiring practices are discriminatory.

Mathematically,

H₀: μ₀ = 0.53

And the alternative hypothesis would be that there is a significant difference between the proportion of newly hired candidates that are not white is not significantly different from the proportion of the applicants that are not white. More specifically, that the proportion of newly hired candidates that are not white is significantly less than the proportion of applicants that are not white & there is significant evidence that the company's hiring practices are indeed discriminatory.

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Type II error: We accept the null hypothesis (fail to reject the null hypothesis) because we obtained that there is no significant difference between the proportion of newly hired candidates that are not white & th proportion of applicants that are not white and conclude that there is no discrimination in the company's hiring practices when in reality, there is significant difference in the stated proportions above and significant evidence that there is indeed significant evidence that the company's hiring practices are discriminatory.

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D) The standard error of the mean used in computing the t-score is given as

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Hope this Helps!!!

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