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Help me answer each question STEP by STEP (can use excel, if so show me the formulas please!)

According to a retail organization, holiday shoppers spent an average of $935.58 over the Thanksgiving weekend in 2016. The aPrint Done State the conclusion. Do not reject Ho. There is not sufficient evidence to conclude that shoppers spent less than

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Answer #1
X x^2
1 1027 1054729
2 871 758641
3 972 944784
4 836 698896
5 822 675684
6 817 667489
7 959 919681
8 1033 1067089
9 989 978121
10 994 988036
11 921 848241
12 661 436921
13 1014 1028196
14 1027 1054729
15 977 954529
16 880 774400
Total 14800 13850166
Mean 925
SD 103.3331

Mean = 1588008119706_blob.png

SD = Σχ2 - (Σα)2 VV a η -1

Since we are testing whether the avg. spending is less than $935.58 .

Η :μ2 935.58

H_{1}:\mu< 935.58

This one tailed test since we are testing for left side.

Critical value with 1588008368987_blob.png = 0.05 = 5%

C.V. = \mathbf{-t_{\alpha}}

C.V. = 1.753 ......................using df = n-1 = 15 and p = 5%

Test Stat = 1588008333705_blob.png

Where the null mean 1588008333247_blob.png = 935.58

Test Stat = -0.102

Since |test stat| < |C.V.|

We do not reject the null hypothesis. There is not sufficient evidence to conclude that shoppers spent less than an avg. of 935.58 over the Thanksgiving weekend in 2017.

b. the critical value at \alpha = 10%

C.V. = 1.3406

We would still not reject at 10% so that would mean the p -value  > 10%.

C.V. = 0.866

We would still not reject at 20% so that would mean the p -value  > 20%.

Therefore

One tails: greater than 0.200

p-value = P(t_{n-1}>|T.S.|)

= P(t_{15}>0.10)

p -value = 0.4599 ....................using t-dist tables and excel 'tdist(|t.s.|df=15,tails=1)

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