Answer:
Step-by-step explanation:
Given that a part of a study of the treatment of anemia in cattle, researchers measured the concentration of selenium in the blood of 36 cows who had been given a dietary supplement of selenium (2 mg/day) for one year.
If x is the selenium concentration then
X has mean= 6.21 mg/dl
and std dev = 1.84
Sample size n = 36
std error of sample = 
Margin of error for 95%

Confidence interval = 
Answer:
The first one $1.42
Step-by-step explanation:
1.42x5=7.1 (cost of all envelopes)
12-7.1=4.9
4.9/14=0.35 (one postcard)
10 postcards= 3.5
1.42x15=21.3 (cost of all envelopes)
3.5+21.3=$24.80
Answer:
Nominal Interest rate=11.9%
Step-by-step explanations:
The Fisher effect is a theory propounded by an economist named Irving Fisher.
Fisher's equation shows the relationship between real Interest rate, expected inflation rate and nominal Interest rate.
It can be calculated by subtracting the expected inflation rate from the nominal Interest rate to give the real Interest rate.
Real Interest rate= nominal Interest rate - expected inflation rate
Given,
Real Interest rate= 4.4%=0.044
Expected inflation rate=7.5%=0.075
Nominal Interest rate=?
Therefore,
Real Interest rate=nominal Interest rate - expected inflation rate
Nominal Interest rate=Real Interest rate+expected inflation rate
Nominal Interest rate=0.044+0.075
Nominal Interest rate=0.119
Nominal Interest rate=11.9%
Answer:
Step-by-step explanation:
The table can be computed as:
Advertising Expenses ($ million) Number of companies
25 up to 35 4
35 up to 45 19
45 up to 55 27
55 up to 65 16
65 up to 75 9
TOTAL 75
Let's find the probabilities first:
For 35 up to 45
For 45 up to 55
For 55 up to 65
For 65 up to 75
Chi-Square Table can be computed as follows:
Expense No of Probabilities(P) Expe
compa cted E (n*p)
nies (O)
25-35 4 0.0612 75*0.0612 = 4.59 0.3481 0.0758
35-45 19 0.2218 75*0.2218 = 16.635 5.5932 0.3362
45-55 27 0.3568 75*0.3568 = 26.76 0.0576 0.021
55-65 16 0.2552 75*0.2552 = 19.14 9.8596 0.5151
65-75 9 0.0839 75*0.0839 = 6.2925 7.331 1.1650
Using the Chi-square formula:
Null hypothesis:
Alternative hypothesis:
Assume that:
degree of freedom:
= n-1
= 5 -1
= 4
Critical value from
Decision rule: To reject
test statistics is greater than
tabulated.
Conclusion: Since
is less than critical value 11.667. Then we fail to reject
False ..................................