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Natali [406]
1 year ago
7

Suppose the probability that the instructor asks Sam, one of your classmates, is 0.05 and the probability that she/he asks John,

another student in your class, is 0.07. What is the probability that the instructor asks one of these two students
Mathematics
1 answer:
Dafna11 [192]1 year ago
6 0

The probability that the instructor asks one of Sam and John whose probabilities of being asked are as indicated in the task content is; 0.12.

<h3>What is the probability that the instructor asks one of these two students?</h3>

It follows from the task content that the probability that Sam is being asked is; 0.05 while that for John being asked is; 0.07.

Consequently, we may conclude that the probability of either of the two classmates being asked the question in discuss is; the sum of the probabilities and hence, we have;

P(Sam or John) = 0.05 + 0.07

= 0.12.

Read more on probability;

brainly.com/question/7965468

#SPJ1

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A null hypothesis is that the mean nose lengths of men and women are the same. The alternative hypothesis is that men have a lon
algol [13]

Answer:

b. There is not enough evidence to say that the populations of men and women have different mean nose lengths.

See explanation below.

Step-by-step explanation:

Develop the null and alternative hypotheses for this study?

We need to conduct a hypothesis in order to check if the means for the two groups are different (men have longer mean nose length than women), the system of hypothesis would be:

Null hypothesis:\mu_{men} \leq \mu_{women}

Alternative hypothesis:\mu_{men} > \mu_{women}

Assuming that we know the population deviations for each group, for this case is better apply a z test to compare means, and the statistic is given by:

z=\frac{\bar X_{men}-\bar X_{women}}{\sqrt{\frac{\sigma^2_{men}}{n_{men}}+\frac{\sigma^2_{women}}{n_{women}}}} (1)

z-test: Is used to compare group means. Is one of the most common tests and is used to determine whether the means of two groups are equal to each other.

Let's assume that the calculated statistic is z_{calc}

Since is a right tailed test test the p value would be:

p_v =P(Z>z_{calc})=0.225

And we know that the p value is 0.225. If we select a significance level for example 0.05 or 0.1 we see that p_v >\alpha

And on this case we have enough evidence to FAIl to reject the null hypothesis that the means are equal. So then the best conclusion would be:

b. There is not enough evidence to say that the populations of men and women have different mean nose lengths.

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3 years ago
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Answer: sin(34) = 0.52908268612

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3 years ago
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A rigid transformation (also called an isometry) is a transformation of the plane that preserves length. In a rigid transformation the pre-image and image are congruent (have the same shape and sizes).

A. A dilation is a transformation that produces an image that is the same shape as the original, but is a different size (not an isometry). Forms similar figures or in other words preserves only angle measurement and ratio between sides lengths. In simple words, dilation means, it just resizes the given figure without rotating or anything else. It is not rigid transformation.

B. A rotation is a transformation in which the object is rotated about a fixed point. The direction of rotation can be clockwise or anticlockwise. Rotation is rigid transformation, it means that rotation preserves sides lengths.

C. In a reflection transformation, all the points of an object are reflected or flipped on a line called the axis of reflection. Under reflection, the shape and size of an image is exactly the same as the original figure. This type of transformation is rigid.

D. In a translation transformation all the points in the object are moved in a straight line in the same direction. The size, the shape and the orientation of the image are the same as that of the original object. Same orientation means that the object and image are facing the same direction. This type of transformation is rigid.

Answer: correct choice is A.

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Answer:

18 students is the amount that passed the test

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