What is the slope of the graph of y = -3 x 3 1/3 -1/3 -3

Mathematics

1 answer:

olga nikolaevna [1]3 years ago

4 0

Answer:

-3

Step-by-step explanation:

The equation is in the slope intercept form

y= mx +b where m is the slope and b is the y intercept

y = -3x +0

The slope is -3 and the y intercept is 0

You might be interested in

A wire 4 1/2 feet long is being cut into smaller pieces of wire, each. 1 1/4 ft long what is the max number of smaller pieces of

ivolga24 [154]

4.5 divided by 1.25 is 3.6

for peices in total it is 4.

for peices the right length it is 3

3 0

3 years ago

Read 2 more answers

If you select one card at random from a standard deck of 52 cards, what is the probability that the card is a five AND a club?

horsena [70]

Probability is expressed as

number of favorable outcomes/number of total outcomes

The number of cards in a deck is 52(total outcomes)

Recall, there is only 1 five of clubs in a deck of cards(favorable outcomes)

Thus, the probability that the card is a five AND a club is 1/52

4 0

1 year ago

Assume that the population of human body temperatures has a mean of 98.6 degrees F and a standard deviation of 0.62 degrees F. I

dimulka [17.4K]

Answer:

0% probability of getting a mean temperature of 98.2 degrees F or lower.

Step-by-step explanation:

The Central Limit Theorem estabilishes that, for a random variable X, with mean $\mu$ and standard deviation $\sigma$ , a large sample size can be approximated to a normal distribution with mean $\mu$ and standard deviation $\frac{\sigma}{\sqrt{n}}$ .

Normal probability distribution

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this problem, we have that:

$\mu = 98.6, \sigma = 0.62, n = 106, s = \frac{0.62}{\sqrt{106}} = 0.06$