Count of Income Educ. Income 2. 4 Grand Total 55 169 141 426 355 61 33 125 122 75 39 175 3. 33 43 119 Grand Total 92 327 306 900 HOLD INCOME HEAD OF HOUSE EDUC. LEVE Under $30,000 COLUMNI: Some High School COLUMN2: Hgh School Graduate COLUMNS: Some College COLUMNA: College Graduate $30,000-s60,000 Over $60,000

Please provide only part C Please do it in 30 minutes

Check your Understanding DIRECTION: Read and analyze the table provided below. Then write your answer on the space provided after each questions. STORAGE CAPACITY 1 BYTE (B) 8 bits or a single A (letter) or 8r, (symbol). 1 KILOBYTE (KB) 1024 bits or about 2 pages of text. 1 MEGABYTE (MB) 1024 kilobytes or 5 (books), (photo) or 1 mi (music). 1 1 GIGABYTE (MB) 1024 megabytes or 400 100 16 hours 1 TERABYTE (TB) 1024 gigabytes or 400,000 1 million 2 years of continuous 1. How many bytes will be used to school name KASARINLAN HIGH SCHOOL? 2. Convert 32 hours of music to megabyte? 3. Jha-jha will save her 10pages document is a flash drive, how many bytes will she used? 4. A photographer can saved 50,000 photos to his camera, how much storage capacity in GB is his camera is? 5. There are 1000 books in a library, if we will save it in a hard disk, how many megabytes will be used?

Which Decimal Squares best describe the following computations? a. 0.3 + 0.45 = 0.75 b. 0.350 – 0.2 = 0.15 с. 0.3 х 0.4 3D 0.12 d. 10 x 0.14 =1.4 e. 0.45 ÷ 0.15 = 3 f. 0.30 ÷ 10 = 0.03 %3D I. II. III.

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Count of Income Educ. Income 2 1 4 Grand Total 26 32 24 6. 88 55 81 98 32 266 3 90 203 51 144 61 346 Grand Total 132 266 99 700 LEGEND: HOUSEHOLD INCOME HEAD OF HOUSE EDUC. LEVEL ROW1 : Over $60,000 COLUMN1: College Graduate ROW2 : $30,000-S60,000 COLUMN2: Some College ROW3 : Under $30,000 COLUMN3 : High School Graduate COLUMN4 : Some High School Seven hundred households were asked to indicate their household income and the education level of the head of the house and this information w Excel. Use the Excel output above to answer the following question. What is the probability the household income is "not $30,000-$60,000" or the head of house's education level is some college or college graduate? a. 0.8143 Ob. None of the answers is correct Oc. 0.5940 Od. 0.4585 Oe. 0.2843

somebody please solve this

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A company organizes its sales into territories, each assigned to one sales representative. An analyst theorizes that the on-the-job experience level of the sales rep may be related to the amount of sales in each territory. The analyst decided to use the time the sales reps had been employed at the company to predict sales. After taking a random sample of sales territories, the analyst measured the last quarter's Sales in dollars and the Experience the sales rep had at the company in months. Here are the three tables from the regression results: Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Intercept Experience (months) 0.5966 0.3559 0.339 497.9058 40 df 1 38 39 Coefficients 6.6108 SS 5205388.04 5205388.04 9420585.51 Standard Error 4250.9742 180.2332 14625973.55 1.4427 How many territories are in the sample? 247910.15 t Stat MS 23.586 4.5822 P-value 2.71E-24 4.85E-05 F 20.9971 Lower 95% Upper 95% 3886.1113…

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