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Mathematics

1 answer:

-BARSIC- [3]3 years ago

7 0

83 + 58 = 141
55 + 68 = 123
92 + 69 = 161
48 + 72 = 120
69 + 77 = 146
95 + 88 = 183
78 + 43 = 121
86 + 77 = 163
79 + 47 = 126
74 + 59 = 133
85 + 94 = 179
69 + 78 = 147
91 + 89 = 180
48 + 95 = 143
66 + 45 = 111
73 + 86 = 159
98 + 74 = 172
23 + 79 = 102

163 - 125 = 38
243 - 74 = 169
208 - 92 = 116
262 - 77 = 185
122 - 86 = 36
197 - 82 = 115
159 - 41 = 118
299 - 151 = 148
181 - 87 = 94
196 - 159 = 37
232 - 168 = 64
165 - 76 = 89
241 - 85 = 156
149 - 38 = 111
184 - 95 = 89
124 - 67 = 57
142 - 96 = 46
272 - 119 = 153
261 - 95 = 166
225 - 88 = 137

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1/29+12/58+12/29=

irakobra [83]

Just find a common denominator and find the smallest number that goes into it, which in this case it is 29, so
1/29+6/29+12/29=19/29

5 0

3 years ago

1 3/4 x 1 1/3 give your answer as a mixed number

WARRIOR [948]

Answer:

2 1/3

Step-by-step explanation:

1 3/4 is equivalent to 7/4

1 1/3 is equivalent to 4/3

7/ 4 x 4/3

reduce with greatest common factor so the two 4 are out (show a line crossing out the top and bottom 4 )

now you're left with 7 x 1/3 = 7/3

7/3 = 2 1/3

4 0

3 years ago

Read 2 more answers

Suppose that the walking step lengths of adult males are normally distributed with a mean of 2.5 feet and a standard deviation o

Hitman42 [59]

Answer:

0.0668 = 6.68% probability that an individual man’s step length is less than 1.9 feet.

Step-by-step explanation:

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the z-score 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 p-value, we get the probability that the value of the measure is greater than X.

Normally distributed with a mean of 2.5 feet and a standard deviation of 0.4 feet.

This means that $\mu = 2.5, \sigma = 0.4$