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Vitek1552 [10]
3 years ago
5

Can someone turn 4,971 into a scientific notation

Mathematics
2 answers:
Illusion [34]3 years ago
6 0

We need to divide 4,971 by 10 until its a number less then 10.

4,971 / 10 = 497.1

497.1 / 10 = 49.71

49.71 / 10 = 4.971

Now, 4.971 is less then 10, so, we can write this into scientific notation.

4.971 * 10^?

We need to know what power we add to 10 to get 4,971. We can solve for looking at the number of times we divided. As you can see above, we divided 3 times so that will be the power of 10.

4.971 * 10³

Best of Luck!

worty [1.4K]3 years ago
4 0

Answer:

4.971 x 10^3

Step-by-step explanation:

scientific notation always X.

X is always a unit digit (0,1,2,3,4,5,6,7,8,9)with no tens digit or above

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None of the above.

Step-by-step explanation:

The interval where h is increasing is -1.5 < x < 1.5. Answers a, b, and c do not match.

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Aaron flies a kite at 65º angle of elevation. The kite string is 300 feet long. Aaron is 5 feet tall. How high off the ground is
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A major retail clothing store is interested in estimating the difference in mean monthly purchases by customers who use the stor
mixer [17]

Answer:

Critical value is t = 1.9901

Step-by-step explanation:

We are given the results of the sampling :

                                     In-House Credit Card                National Credit Card                    <u>Sample Size</u> :                              32                                                    50

<u>Mean Monthly Purchases </u>:      $45.67                                            $39.87

<u>Standard Deviation </u>:                $10.90                                             $12.47

Also, the managers wished to test whether there is a statistical difference in the mean monthly purchases by customers using the two types of credit cards, using a significance level α of 0.05.

<em>Firstly, we will specify our null and alternate hypothesis;</em>

Let \mu_1 = Mean Monthly Purchases of In-House Credit Card

     \mu_2 = Mean Monthly purchases of National Credit Card

So, Null Hypothesis, H_0 : \mu_1-\mu_2 = 0  {means that there is no difference in the mean monthly purchases by customers using the two types of credit cards}

Alternate Hypothesis, H_0 : \mu_1-\mu_2\neq 0  {means that there is statistical difference in the mean monthly purchases by customers using the two types of credit cards}

The test statistics that will be used here is <u>Two-sample t-test statistics</u>;

              T.S. = \frac{(\bar X_1-\bar X_2)-(\mu_1-\mu_2)}{s_p \sqrt{\frac{1}{n_1}+\frac{1}{n_2}  } }  ~ t_n___1+n_2-_2

where, \bar X_1 = Sample mean Purchases of In-House Credit Card = $45.67

           \bar X_2 = Sample mean Purchases of National Credit Card = $39.87

            s_p = pooled variance

            n_1 = In-house credit card sample = 32

            n_2 = National credit card sample = 50

So, degree of freedom of t-value here is (32 + 50 - 2) = 80

Now, at 0.05 significance level, t table gives critical value of t = 1.9901 at 80 degree of freedom.

<em>Therefore, the critical value assuming the population standard deviations are not known but that the populations are normally distributed with equal variances is t = 1.9901.</em>

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